From eb0fcace2e37640b0fa53534004c9cefbd388d1a Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Thu, 26 Sep 2024 05:16:34 +0000 Subject: [PATCH] Updated datasets 2024-09-26 UTC --- datasets/ATL07QL_006.json | 4 +- datasets/ATL10QL_006.json | 4 +- .../CIESIN_CHRR_NDH_CYCLONE_HFD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_CYCLONE_MRD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_CYCLONE_PELRD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_CYCLONE_TELRD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_DROUGHT_HFD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_DROUGHT_MRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_DROUGHT_PELRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_DROUGHT_TELRD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_EQUAKE_HFD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_EQUAKE_MRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_EQUAKE_PELRD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_EQUAKE_PGA_1.00.json | 8 +- .../CIESIN_CHRR_NDH_EQUAKE_TELRD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_FLOOD_HFD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_FLOOD_MRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_FLOOD_PELRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_FLOOD_TELRD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_LSLIDE_HD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_LSLIDE_MRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_LSLIDE_PELRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_LSLIDE_TELRD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_MULTI_HFD_1.00.json | 8 +- datasets/CIESIN_CHRR_NDH_MULTI_MRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_MULTI_PELRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_MULTI_TELRD_1.00.json | 8 +- .../CIESIN_CHRR_NDH_VOLCANO_HFD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_VOLCANO_MRD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_VOLCANO_PELRD_1.00.json | 4 +- .../CIESIN_CHRR_NDH_VOLCANO_TELRD_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1980_SAS_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1990_CBS_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1990_EMF_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1990_PBF_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1990_SAS_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1990_SEF_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1990_SI_1.00.json | 4 +- .../CIESIN_SEDAC_ACRP_1990_STF1B_1.00.json | 4 +- .../CIESIN_SEDAC_ACRP_1990_ZIPEF_1.00.json | 4 +- datasets/CIESIN_SEDAC_ACRP_1992_BF_1.00.json | 4 +- .../CIESIN_SEDAC_AGLANDS_CROP2000_1.00.json | 4 +- .../CIESIN_SEDAC_AGLANDS_PAS2000_1.00.json | 4 +- .../CIESIN_SEDAC_ANTHROMES_v2_1700_2.00.json | 4 +- .../CIESIN_SEDAC_ANTHROMES_v2_1800_2.00.json | 8 +- .../CIESIN_SEDAC_ANTHROMES_v2_1900_2.00.json | 8 +- .../CIESIN_SEDAC_ANTHROMES_v2_2000_2.00.json | 8 +- ...IESIN_SEDAC_AQDH_CTMAP_2003_2018_1.00.json | 4 +- .../CIESIN_SEDAC_AQDH_DAO3_US_1KM_1.00.json | 4 +- .../CIESIN_SEDAC_CD_ ADM_GIS_1990_1.01.json | 4 +- .../CIESIN_SEDAC_CD_ADM_GIS_JUL90_1.00.json | 8 +- datasets/CIESIN_SEDAC_CD_AGENDA21_1.00.json | 4 +- .../CIESIN_SEDAC_CD_BIB_ADM_GEOG_1.00.json | 4 +- .../CIESIN_SEDAC_CD_CTY_ECON_YRBK_1.00.json | 8 +- .../CIESIN_SEDAC_CD_CTY_POPAG_GIS_1.00.json | 8 +- datasets/CIESIN_SEDAC_CD_FUNDGIS_1.00.json | 4 +- datasets/CIESIN_SEDAC_CD_GBCODES_1.00.json | 4 +- .../CIESIN_SEDAC_CD_HOS_EPI_50-85_1.00.json | 8 +- datasets/CIESIN_SEDAC_CD_MAPS_BIBDB_1.00.json | 4 +- .../CIESIN_SEDAC_CD_STAT_1949-1990_1.00.json | 4 +- .../CIESIN_SEDAC_CESIC_2004EVI_2004.00.json | 4 +- .../CIESIN_SEDAC_CESIC_2006NFA_2006.00.json | 4 +- datasets/CIESIN_SEDAC_CESIC_ANC_1.00.json | 4 +- .../CIESIN_SEDAC_CESIC_COMPLETE_V11_1.01.json | 4 +- datasets/CIESIN_SEDAC_CESIC_RIOJO_1.00.json | 4 +- .../CIESIN_SEDAC_CESIC_WELLBEING_1.00.json | 4 +- datasets/CIESIN_SEDAC_FERMANv1_NAPP_1.00.json | 4 +- datasets/CIESIN_SEDAC_FERMANv1_NMAN_1.00.json | 4 +- datasets/CIESIN_SEDAC_FERMANv1_PAPP_1.00.json | 4 +- ...IESIN_SEDAC_FERMANv1_PESTG_V1.01_1.01.json | 8 +- datasets/CIESIN_SEDAC_FERMANv1_PMAN_1.00.json | 4 +- .../CIESIN_SEDAC_GEO-MEX_GIS_SMI_1.00.json | 4 +- datasets/CIESIN_SEDAC_GHSL_PBSMOD_1.0.json | 8 +- .../CIESIN_SEDAC_GPWv3_CENTROIDS_3.00.json | 4 +- .../CIESIN_SEDAC_GPWv3_COASTLINES_3.00.json | 4 +- .../CIESIN_SEDAC_GPWv3_LANDGEOG_3.00.json | 4 +- .../CIESIN_SEDAC_GPWv3_NADMINBND_3.00.json | 4 +- datasets/CIESIN_SEDAC_GPWv3_NATIDEN_3.00.json | 4 +- datasets/CIESIN_SEDAC_GRANDv1_DAMS_1.01.json | 8 +- .../CIESIN_SEDAC_GRANDv1_RESERVOIRS_1.01.json | 4 +- .../CIESIN_SEDAC_GROADS_CCRDSv1_1.00.json | 4 +- datasets/CIESIN_SEDAC_GROADS_V1_1.00.json | 4 +- .../CIESIN_SEDAC_GRUMPv1_COASTLINES_1.00.json | 16 +- datasets/CIESIN_SEDAC_GRUMPv1_EXT02_1.02.json | 4 +- datasets/CIESIN_SEDAC_GRUMPv1_EXT_1.00.json | 4 +- datasets/CIESIN_SEDAC_GRUMPv1_LGUAG_1.00.json | 16 +- .../CIESIN_SEDAC_GRUMPv1_NADMINBND_1.00.json | 16 +- .../CIESIN_SEDAC_GRUMPv1_NATIDEN_1.00.json | 4 +- .../CIESIN_SEDAC_GRUMPv1_POPCOUNT_1.00.json | 4 +- .../CIESIN_SEDAC_GRUMPv1_POPDENS_1.00.json | 4 +- .../CIESIN_SEDAC_GRUMPv1_STLMNT01_1.01.json | 4 +- .../CIESIN_SEDAC_GRUMPv1_STLMNT_1.00.json | 4 +- ...CIESIN_SEDAC_HASO2_SO2_1850-2005_2.86.json | 4 +- .../CIESIN_SEDAC_LULC_CAMVEGLCCCS_1.00.json | 4 +- datasets/CIESIN_SEDAC_LULC_DPI_1.00.json | 4 +- datasets/CIESIN_SEDAC_LULC_HMTS_1.00.json | 8 +- ...CIESIN_SEDAC_LULC_MANGROVES_2000_1.00.json | 4 +- .../CIESIN_SEDAC_LULC_PUEXPANS_2030_1.00.json | 8 +- ...CIESIN_SEDAC_PD_NETMIG_1970_2000_1.00.json | 8 +- datasets/CIESIN_SEDAC_PD_POPCGTSE_1.00.json | 8 +- datasets/CIESIN_SEDAC_PD_POPDGTSE_1.00.json | 8 +- .../CIESIN_SEDAC_PD_SSPBSYR_1_8th_1.01.json | 8 +- .../CIESIN_SEDAC_PMP_GRDI_2010_2020_1.00.json | 8 +- datasets/CIESIN_SEDAC_PMP_IMR_V2.01_2.01.json | 4 +- .../CIESIN_SEDAC_SDEI_GFED4_CLTAB_1.00.json | 8 +- .../CIESIN_SEDAC_SDEI_GFED4_GRIDS_1.00.json | 16 +- ..._SEDAC_SDEI_GWRPM25_MMSAOD_4GL03_4.03.json | 4 +- datasets/CIESIN_SEDAC_SDEI_LST2013_1.00.json | 4 +- datasets/CIESIN_SEDAC_SDEI_NO2_1.00.json | 4 +- datasets/CIESIN_SEDAC_SDEI_UHE_1.00.json | 8 +- datasets/CIESIN_SEDAC_SDEI_UHI2013_1.00.json | 4 +- .../CIESIN_SEDAC_SDP_CGDP_A1A2B1B2_1.00.json | 4 +- .../CIESIN_SEDAC_SDP_CPOP_A1B1A2_1.00.json | 4 +- datasets/CIESIN_SEDAC_SDP_CPOP_B2_1.00.json | 4 +- datasets/CIESIN_SEDAC_SDP_GGDP_B2_1.00.json | 4 +- datasets/CIESIN_SEDAC_SDP_GPOP_B2_1.00.json | 8 +- .../CIESIN_SEDAC_SPATIALECON_GECON4_4.00.json | 8 +- ...CIESIN_SEDAC_SPATIALECON_LGII_V1_1.00.json | 4 +- datasets/CIESIN_SEDAC_SSF_HWSPDCMv2_2.00.json | 4 +- datasets/CIESIN_SEDAC_SSF_HWSPDv2_2.00.json | 4 +- ...IESIN_SEDAC_SSP_1-8thDULEPBYGSSP_1.00.json | 8 +- .../CIESIN_SEDAC_ULANDSAT_GMIS_V1_1.00.json | 16 +- .../CIESIN_SEDAC_ULANDSAT_HBASE_V1_1.00.json | 16 +- ...N_SEDAC_USPAT_BSCATTER_1993_2020_1.00.json | 8 +- .../CIESIN_SEDAC_USPAT_GUPPD_V1_1.00.json | 4 +- datasets/MI1B2E_003.json | 38 +- datasets/NISE_2.json | 4 +- datasets/NISE_3.json | 4 +- datasets/NISE_4.json | 4 +- datasets/NISE_5.json | 4 +- datasets/NSIDC-0079_4.json | 4 +- datasets/NSIDC-0080_2.json | 4 +- datasets/NSIDC-0081_2.json | 4 +- datasets/NmAVCS1H_1.json | 4 +- datasets/NmAVCS3G_1.json | 4 +- datasets/NmAVCS3H_1.json | 4 +- datasets/NmHRIR1H_1.json | 4 +- datasets/NmHRIR1T_1.json | 4 +- datasets/NmHRIR3G_1.json | 4 +- datasets/NmHRIR3H_1.json | 4 +- datasets/NmIDCS1H_1.json | 4 +- datasets/NmIDCS3G_1.json | 4 +- datasets/NmIDCS3H_1.json | 4 +- datasets/NmIcEdg2_1.json | 4 +- datasets/NmTHIR115-1T_1.json | 4 +- datasets/NmTHIR115-3G_1.json | 4 +- datasets/OMCLDRR_004.json | 21 - datasets/S5P_L1B_RA_BD2_1.json | 21 + datasets/S5P_L1B_RA_BD2_HiR_1.json | 21 + datasets/S5P_L1B_RA_BD3_1.json | 21 + datasets/S5P_L1B_RA_BD3_HiR_1.json | 21 + datasets/S5P_L1B_RA_BD7_1.json | 21 + datasets/SPL2SMP_NRT_107.json | 4 +- datasets/TEMPO_IRRR_L1_V02.json | 4 +- datasets/TEMPO_IRRR_L1_V03.json | 4 +- datasets/TEMPO_IRR_L1_V02.json | 4 +- datasets/TEMPO_IRR_L1_V03.json | 4 +- datasets/TEMPO_NO2_L2_V03.json | 4 +- datasets/TEMPO_O3TOT_L2_V03.json | 4 +- datasets/TEMPO_O3TOT_L3_V03.json | 4 +- ...AircraftRemoteSensing_DC8_DIAL_Data_1.json | 4 +- datasets/TRACE-A_Brazil_Data_1.json | 4 +- datasets/TRACE-A_Merge_Data_1.json | 4 +- ...CE-A_MetNav_AircraftInSitu_DC8_Data_1.json | 4 +- datasets/TRACE-A_Satellite_Data_1.json | 4 +- datasets/TRACE-A_Sondes_Data_1.json | 4 +- ...-A_TraceGas_AircraftInSitu_DC8_Data_1.json | 4 +- datasets/TRACE-A_Trajectory_Data_1.json | 4 +- ...E-P_Aerosol_AircraftInSitu_DC8_Data_1.json | 4 +- ...ACE-P_Cloud_AircraftInSitu_DC8_Data_1.json | 4 +- datasets/TRACE-P_Sondes_Data_1.json | 4 +- ...-P_TraceGas_AircraftInSitu_DC8_Data_1.json | 4 +- ...CE-P_jValue_AircraftInSitu_DC8_Data_1.json | 4 +- datasets/UAVSAR_INSAR_AMP_GRD_1.json | 4 +- datasets/UAVSAR_INSAR_DEM_1.json | 4 +- datasets/UAVSAR_INSAR_INT_1.json | 4 +- datasets/UAVSAR_INSAR_INT_GRD_1.json | 4 +- datasets/UAVSAR_INSAR_KMZ_1.json | 4 +- datasets/UAVSAR_INSAR_META_1.json | 4 +- datasets/UAVSAR_POL_DEM_1.json | 4 +- datasets/UAVSAR_POL_INC_1.json | 4 +- datasets/UAVSAR_POL_KMZ_1.json | 4 +- datasets/UAVSAR_POL_META_1.json | 4 +- datasets/UAVSAR_POL_ML_CMPLX_GRD_1.json | 4 +- datasets/UAVSAR_POL_ML_CMPLX_GRD_3X3_1.json | 4 +- datasets/UAVSAR_POL_ML_CMPLX_GRD_5X5_1.json | 4 +- datasets/UAVSAR_POL_ML_CMPLX_SLANT_1.json | 4 +- datasets/UAVSAR_POL_PAULI_1.json | 4 +- datasets/UAVSAR_POL_SLOPE_1.json | 4 +- datasets/UAVSAR_POL_STOKES_1.json | 4 +- datasets/c4dcm_1.json | 4 +- datasets/c4dcstar_1a.json | 4 +- datasets/c4dcvi_1.json | 4 +- datasets/c4dd8d_1.json | 8 +- datasets/c4dicats_1.json | 4 +- datasets/c4djlh_1.json | 4 +- datasets/c4dlase_1.json | 4 +- datasets/c4dlip_1.json | 4 +- datasets/c4dmms_1.json | 4 +- datasets/c4dmtp_1.json | 4 +- datasets/c4dnevzor_1.json | 4 +- datasets/c4dpr2_1.json | 4 +- datasets/c4dvid_1.json | 4 +- datasets/c4eedop_1.json | 4 +- datasets/c4eehad_1.json | 4 +- datasets/c4ehamsr_1.json | 4 +- datasets/c4elip_1.json | 4 +- datasets/c4emas_1.json | 4 +- datasets/c4emtp_1.json | 4 +- datasets/c4enav_1.json | 4 +- datasets/c4enlh_1.json | 4 +- datasets/c4eo3p_1.json | 4 +- datasets/c4gmipclo_1.json | 4 +- datasets/c4gmipfm_1.json | 4 +- datasets/c4gmipmpr_1.json | 4 +- datasets/c4gmipsod_1.json | 4 +- datasets/c4gmipss1_1.json | 4 +- datasets/c4gmipss2_1.json | 4 +- datasets/c4gmipwp_1.json | 4 +- datasets/c4gmisrep_1.json | 4 +- datasets/c4gnpol_1.json | 4 +- datasets/c4gsmart_1.json | 4 +- datasets/c4gtoga_1.json | 4 +- datasets/c4gxpow_1.json | 4 +- datasets/c4p3cp_1.json | 4 +- datasets/c4p3flt_1.json | 4 +- datasets/c4p3rad_1.json | 4 +- datasets/c4p3vid_1.json | 4 +- datasets/c4sg8_1.json | 4 +- datasets/cplimpacts_1.json | 4 +- datasets/crsimpacts_1.json | 4 +- nasa_cmr_catalog.json | 474 +++++++++--------- 232 files changed, 976 insertions(+), 810 deletions(-) diff --git a/datasets/ATL07QL_006.json b/datasets/ATL07QL_006.json index 9d0a61933..36a1b6e06 100644 --- a/datasets/ATL07QL_006.json +++ b/datasets/ATL07QL_006.json @@ -42,7 +42,7 @@ }, { "rel": "self", - "href": 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ATL21 aggregates the ATL10 along-track SSH estimates and computes daily and monthly gridded SSH anomaly in NSIDC Polar Stereographic Northern and Southern Hemisphere 25 km grids.", "license": "proprietary" }, @@ -32079,7 +32079,7 @@ "bbox": "-180, -88, 180, 88", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2738530540-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTRdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTRdIn0%3D/ATL22_003", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTVdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTVdIn0%3D/ATL22_003", "description": "ATL22 is a derivative of the continuous Level 3A ATL13 Along Track Inland Surface Water Data product. ATL13 contains the high-resolution, along-track inland water surface profiles derived from analysis of the geolocated photon clouds from the ATL03 product. Starting from ATL13, ATL22 computes the mean surface water quantities with no additional photon analysis. The two data products, ATL22 and ATL13, can be used in conjunction as they include the same orbit and water body nomenclature independent from version numbers.", "license": "proprietary" }, @@ -32105,7 +32105,7 @@ "bbox": "-180, -88, 180, 88", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2692731693-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTRdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTRdIn0%3D/ATL23_001", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTVdIiwidW1tIjoiW1wiYXRsYXMvaWNlc2F0LTIgbDNhIGxhbmQgYW5kIHZlZ2V0YXRpb24gaGVpZ2h0IHF1aWNrIGxvb2sgdjAwNlwiLFwiTlNJRENfRUNTXCIsXCJBVEwwOFFMXCIsXCI2XCIsMjU0ODM0NTEwOCw3MTVdIn0%3D/ATL23_001", "description": "This data set contains 3-month gridded averages of dynamic ocean topography (DOT) over midlatitude, north-polar, and south-polar grids derived from the along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided. Both single beam and all-beam gridded averages are available. Simple averages, degree-of-freedom averages, and averages interpolated to the center of grid cells are included, as well as uncertainty estimates.", "license": "proprietary" }, @@ -50500,7 +50500,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001766-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001766-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_CHRR_NDH_CYCLONE_HFD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_CHRR_NDH_CYCLONE_HFD_1.00", "description": "The Global Cyclone Hazard Frequency and Distribution is a 2.5 minute grid based on more than 1,600 storm tracks for the period 1 January 1980 through 31 December 2000 for the Atlantic, Pacific, and Indian Oceans that were assembled and modeled at UNEP/GRID-Geneva PreView. Windspeeds around storm tracks were modeled using Holland's model (1997) to assess the grid cells likely to have been exposed to high wind levels. Post-modeling, the cells were divided into deciles, 10 classes consisting of approximately equal number of grid cells. The higher the value of the grid cell, the higher the decile ranking and the greater the frequency of the hazard relative to other cells. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, United Nations Environment Programme Global Resource Information Database Geneva (UNEP/GRID-Geneva), and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50513,7 +50513,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001768-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001768-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_CHRR_NDH_CYCLONE_MRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_CHRR_NDH_CYCLONE_MRD_1.00", "description": "The Global Cyclone Mortality Risks and Distribution is a 2.5 minute grid of global cyclone mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality loss. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of cyclone hazard are obtained from the Global Cyclone Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of an approximately equal number of grid cells, providing a relative estimate of cyclone-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50526,7 +50526,7 @@ "bbox": "-180, -58, 180, 86", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001767-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001767-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_CHRR_NDH_CYCLONE_PELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_CHRR_NDH_CYCLONE_PELRD_1.00", "description": "The Global Cyclone Proportional Economic Loss Risk Deciles is a 2.5 minute grid of cyclone hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50539,7 +50539,7 @@ "bbox": "-180, -58, 180, 86", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001764-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001764-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_CHRR_NDH_CYCLONE_TELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_CHRR_NDH_CYCLONE_TELRD_1.00", "description": "The Global Cyclone Total Economic Loss Risk Deciles is a 2.5 minute grid of global cyclone total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP is spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using population distribution data. A per capita contribution value is determined within each subnational Unit, and this value is multiplied by the population per grid cell as determined from Gridded Population of the World, Version 3 (GPWv3) data. Once a GDP value is determined on a per grid cell basis, then the regionally variable loss rate, as derived from the historical records of EM-DAT, is used to determine the total economic loss risks posed to a grid cell by cyclone hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. 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Utilizing average monthly precipitation data from 1980 through 2000 at a resolution of 2.5 degrees, WASP assesses the precipitation deficit or surplus over a three month temporal window that is weighted by the magnitude of the seasonal cyclic variation in precipitation. The three months' averages are derived from the precipitation data and the median rainfall for the 21 year period is calculated for each grid cell. Grid cells where the three month running average of precipitation is less than 1 mm per day ae excluded. Drought events are identified when the magnitude of a monthly precipitation deficit is less than or equal to 50 percent of its longterm median value for three or more consecutive months. Grid cells are then divided into 10 classes having an approximately equal number of grid cells. Higher grid cell values denote higher frequencies of drought occurrences. 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Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality risks due to drought hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of drought hazard are obtained from the Global Drought Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of drought-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50578,7 +50578,7 @@ "bbox": "-180, -58, 180, 86", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001852-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001852-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_CHRR_NDH_DROUGHT_PELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_CHRR_NDH_DROUGHT_PELRD_1.00", "description": "The Global Drought Proportional Economic Loss Risk Deciles is a 2.5 minute grid of drought hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50591,7 +50591,7 @@ "bbox": "-180, -58, 180, 86", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001772-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001772-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_CHRR_NDH_DROUGHT_TELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_CHRR_NDH_DROUGHT_TELRD_1.00", "description": "The Global Drought Total Economic Loss Risk Deciles is a 2.5 minute grid of global drought total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP is spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data of population distributions. A per capita contribution value is determined within each subnational Unit, and this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by drought hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. 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To produce the final output, the frequency of an earthquake hazard is calculated for each grid cell, and the resulting grid cells are then classified into deciles (10 classes consisting of an approxiamately equal number of grid cells). The greater the grid cell value in the final output, the higher the relative frequency of hazard posed by earthquakes. 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For the purpose of identifying hazard hotspots, values of 2 meters per second per second and less were excluded from analysis. The resulting ranges of pga values were classified into deciles, 10 classes of approximately an equal number of grid cells. 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A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origin. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP has been spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data population distributions. A per capita contribution value is determined within each subnational Unit, and then this value is multiplied by the population per grid cell. 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The resultant flood frequency grid was then classified into 10 classes of approximately equal number of grid cells. The greater the grid cell value in the final data set, the higher the relative frequency of flood occurrence. 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The hazards mapping of NGI incorporates a range of data including slope, soil, soil moisture conditions, precipitation, seismicity, and temperature. Shuttle Radar Topography Mission (SRTM) elevation data at 30 seconds resolution are also incorporated. Hazards values less than or equal to 4 are considered negligible and only values 5 through 9 are utilized in further analyses. To ensure compatibility with other data sets, value 1 is added to each of the values to provide a hazard ranking ranging 6 through 10 in increasing hazard. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), Norwegian Geotechnical Institute (NGI), and Columbia University Center for International Earth Science and Information Network (CIESIN).", "license": "proprietary" }, @@ -50734,7 +50734,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001783-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001783-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDIzXSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyM10ifQ%3D%3D/CIESIN_CHRR_NDH_LSLIDE_MRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDI2XSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyNl0ifQ%3D%3D/CIESIN_CHRR_NDH_LSLIDE_MRD_1.00", "description": "The Global Landslide Mortality Risks and Distribution is a 2.5 minute grid of global landslide mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality risks due to landslide hazard. Mortality loss estimates per hazard event are caculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of landslide hazard are obtained from the Global Landslide Hazard Distribution data set. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of landslide-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50747,7 +50747,7 @@ "bbox": "-180, -58, 180, 86", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001782-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001782-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_CHRR_NDH_LSLIDE_PELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_CHRR_NDH_LSLIDE_PELRD_1.00", "description": "The Global Landslide Proportional Economic Loss Risk Deciles is a 2.5 minute grid of landslide hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical Unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50760,7 +50760,7 @@ "bbox": "-180, -58, 180, 86", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001786-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001786-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_CHRR_NDH_LSLIDE_TELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_CHRR_NDH_LSLIDE_TELRD_1.00", "description": "The Global Landslide Total Economic Loss Risk Deciles is a 2.5 minute grid of global landslide total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP has been spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data of population distributions. A per capita contribution value is determined within each subnational Unit, and this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by landslide hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50773,7 +50773,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001784-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001784-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_HFD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_HFD_1.00", "description": "The Global Multihazard Frequency and Distribution is a 2.5 minute grid presenting a simple multihazard index based solely on summated single-hazard decile values. The hazards of interest include cyclones, droughts, earthquakes, floods, landslides, and volcanoes. This data set is further enriched by the inclusion of data pertaining to population, Gross Domestic Product (GDP), and transportation infrastructure. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50786,7 +50786,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001785-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001785-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_MRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_MRD_1.00", "description": "The Global Multihazard Mortality Risks and Distribution is a 2.5 minute grid identifying and characterizing the nature of multihazard risk at the global scale. For this study, multihazard considers the hazards posed by cyclones, droughts, earthquakes, floods, landslides and volcanoes. The specific hazards are grouped into the following hazard categories: drought (drought), seismic (earthquakes and volcanoes), and hydro (cyclones, floods, and landslides). Each grid cell is assessed for each hazard category; and is considered at high risk or not at high risk. Treated as a binary value, the at-risk values of the hazards categories function as a 3-digit index of multihazard. For each of the hazard category combinations, aggregate analyses determine the total population, area, and length of major transportation features, as well as, the value of Gross Domestic Product (GDP) and agricultural GDP. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50799,7 +50799,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001790-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001790-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_PELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_PELRD_1.00", "description": "The Global Multihazard Proportional Economic Loss Risks is a 2.5 minute grid of a multihazard-based economic loss risk as a proportion of the economic productivity of the analytical Unit, the grid cell. Representation of multihazard risk is not based on a multihazard index but rather on combinations of hazard risk categories, drought, seismic, and hydro. The drought category includes drought only. The seismic category consists of earthquake and volcano hazards. Cyclones, floods, and landslides are included in the hydro category. For each of the six hazards considered, a binary risk surface is constructed utilizing the three most-at-risk deciles of each hazard's global proportional economic loss risks data set (deciles 8-10). Each of the category risk surfaces are constructed by adding all the relevant hazard high-risk surfaces. These categorical risk surfaces are reclassified into binary high-risk surfaces. The combination of the category risk values forms a three digit identifier for determining those locations that are at higher-risk from multihazards. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -50812,7 +50812,7 @@ "bbox": "-180, -58, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001788-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001788-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_TELRD_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_CHRR_NDH_MULTI_TELRD_1.00", "description": "The Global Multihazard Total Economic Loss Risk Deciles is a 2.5 minute grid of global multihazard total economic loss risks. First, for each of the considered hazards (cyclones, droughts, earthquakes, floods, landslides, and volcanoes), subnational distributions of Gross Domestic Product (GDP) are computed using a methodology developed from Sachs et al. (2003). Where applicable, the contributions of subnational Units to national GDP estimates, the contribution ratio, are determined using data of varied origin. World Bank Development Indicators are substituted for GDP estimates of varied origin and the subnational GDP is estimated using the fore mentioned contribution ratios. A subnational, per capita GDP is derived and a final GDP estimate per grid cell is made based on grid cell population density. A raw, total economic loss is computed per grid cell using a regional economic loss rate derived from EM-DAT records. To more accurately reflect the confidence surrounding the economic loss estimate, the range of losses are classified into deciles, 10 classes of an approximately equal number of grid cells. A multihazard index is generated by summing the top three deciles of the individual hazards. 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Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. 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First, subnational distributions of Gross Domestic Product (GDP) are computed using a two-fold process. Where applicable, the proportional contribution of subnational Units are determined following the methodology of Sachs et al. (2003) and these proportions are used against World Bank Development Indicators to determine a GDP value for the subnational Unit. Once a national GDP has been spatially stratified into the smallest administrative Units available, it is further distributed based upon Gridded Population of the World, Version 3 (GPWv3) population distributions. A per capita contribution value is determined for each Unit, and this value is multiplied by the population per grid cell. Once the GDP has been determined on a per grid cell basis, then the spatially variable loss rate as derived from EM-DAT historical records is used to determine the total economic loss posed to a grid cell by volcano hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10) ranking of grid cells based upon the calculated economic loss risks. 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To estimate the global application rates of specific active ingredients, spatial statistical methods were used to re-analyze the U.S. Geological Survey Pesticide National Synthesis Project (USGS/PNSP) and the Food and Agriculture Organization Corporate Statistical Database (FAOSTAT) pesticide databases, along with other public inventories including globally gridded data of soil physical properties, hydro-climatic variables, agricultural quantities, and socioeconomic indices. The application rate (APR) of each active ingredient on each crop is in kilogram per hectare per year (kg/ha-year), and the harvest area of each crop is in hectare (ha). The data set also includes 200 data quality index maps corresponding to each active ingredient on each crop, as well as maps of the 10 dominant crops and 4 aggregated crop classes. 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It is a continuous 0-1 metric that reflects the proportion of a landscape modified, based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets with a median year of 2016.", "license": "proprietary" }, @@ -52710,7 +52710,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000440-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000440-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDIxXSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyMV0ifQ%3D%3D/CIESIN_SEDAC_LULC_MANGROVES_2000_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGxhbmRzbGlkZSBtb3J0YWxpdHkgcmlza3MgYW5kIGRpc3RyaWJ1dGlvblwiLFwiU0VEQUNcIixcIkNJRVNJTl9DSFJSX05ESF9MU0xJREVfTVJEXCIsXCIxLjAwXCIsMTc5MDAxNzgzLDI0XSIsInVtbSI6IltcImdsb2JhbCBsYW5kc2xpZGUgbW9ydGFsaXR5IHJpc2tzIGFuZCBkaXN0cmlidXRpb25cIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfTFNMSURFX01SRFwiLFwiMS4wMFwiLDE3OTAwMTc4MywyNF0ifQ%3D%3D/CIESIN_SEDAC_LULC_MANGROVES_2000_1.00", "description": "The Global Mangrove Forests Distribution, 2000 data set is a compilation of the extent of mangroves forests from the Global Land Survey and the Landsat archive with hybrid supervised and unsupervised digital image classification techniques. 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For each grid cell that is non-urban in 2000, a Monte-Carlo model assigned a probability of becoming urban by the year 2030. The authors first extracted urban extent circa 2000 from the NASA MODIS Land Cover Type Product Version 5, which provides a conservative estimate of global urban land cover. The authors then used population densities from the Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) to create the population density driver map. They estimated the amount of new urban land in each United Nations region by 2030 in a Monte-Carlo fashion based on present empirical distribution of regional urban population densities and probability density functions of projected regional population and GDP values for 2030. To facilitate integration with other data products, CIESIN reprojected the data from Goode's Homolosine to Geographic WGS84 projection.", "license": "proprietary" }, @@ -53243,7 +53243,7 @@ "bbox": "-180, -55.766667, 180, 83.633333", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000660-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1000000660-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDIzXSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyM10ifQ%3D%3D/CIESIN_SEDAC_PD_NETMIG_1970_2000_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDI2XSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyNl0ifQ%3D%3D/CIESIN_SEDAC_PD_NETMIG_1970_2000_1.00", "description": "The Global Estimated Net Migration by Decade: 1970-2000 data set provides estimates of net migration over the three decades from 1970 to 2000. Because of the lack of globally consistent data on migration, indirect estimation methods were used. The authors relied on a combination of data on spatial population distribution for four time slices (1970, 1980, 1990, and 2000) and subnational rates of natural increase in order to derive estimates of net migration on a 30 arc-second (~1km) grid cell basis. Net migration was estimated by subtracting the population in time period 2 from the population in time period 1, and then subtracting the natural increase (births minus deaths). The residual was considered to be net migration (in-migrants minus out-migrants). The authors ran 13 geospatial net migration estimation models based on outputs from the same number of imputation runs for urban and rural rates of natural increase.This data set represents the average of those runs. These data are reliable at broad scales of analysis (e.g. ecosystems or regions), but are generally not reliable for local level analyses. 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The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. 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Spatial demographic data are key inputs for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts, and adaptation. 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GRDIv1 is built from sociodemographic and satellite data inputs that were spatially harmonized, indexed, and weighted into six main components to produce the final index raster. Inputs were selected from the best-available data that either continuously vary across space or have at least administrative level 1 (provincial/state) resolution, and which have global spatial coverage.", "license": "proprietary" }, @@ -53438,7 +53438,7 @@ "bbox": "-180, -90, 180, 85", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2013463595-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2013463595-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJ1cmFsLXVyYmFuIG1hcHBpbmcgcHJvamVjdCwgdmVyc2lvbiAxIChncnVtcHYxKTogbmF0aW9uYWwgYWRtaW5pc3RyYXRpdmUgYm91bmRhcmllc1wiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19HUlVNUHYxX05BRE1JTkJORFwiLFwiMS4wMFwiLDIyMTAyMzk0ODAsNV0iLCJ1bW0iOiJbXCJnbG9iYWwgcnVyYWwtdXJiYW4gbWFwcGluZyBwcm9qZWN0LCB2ZXJzaW9uIDEgKGdydW1wdjEpOiBuYXRpb25hbCBhZG1pbmlzdHJhdGl2ZSBib3VuZGFyaWVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX0dSVU1QdjFfTkFETUlOQk5EXCIsXCIxLjAwXCIsMjIxMDIzOTQ4MCw1XSJ9/CIESIN_SEDAC_PMP_IMR_V2.01_2.01", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJ1cmFsLXVyYmFuIG1hcHBpbmcgcHJvamVjdCwgdmVyc2lvbiAxIChncnVtcHYxKTogbmF0aW9uYWwgYWRtaW5pc3RyYXRpdmUgYm91bmRhcmllc1wiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19HUlVNUHYxX05BRE1JTkJORFwiLFwiMS4wMFwiLDIyMTAyMzk0ODAsN10iLCJ1bW0iOiJbXCJnbG9iYWwgcnVyYWwtdXJiYW4gbWFwcGluZyBwcm9qZWN0LCB2ZXJzaW9uIDEgKGdydW1wdjEpOiBuYXRpb25hbCBhZG1pbmlzdHJhdGl2ZSBib3VuZGFyaWVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX0dSVU1QdjFfTkFETUlOQk5EXCIsXCIxLjAwXCIsMjIxMDIzOTQ4MCw3XSJ9/CIESIN_SEDAC_PMP_IMR_V2.01_2.01", "description": "The Global Subnational Infant Mortality Rates, Version 2.01 consist of Infant Mortality Rate (IMR) estimates for 234 countries and territories, 143 of which include subnational Units. 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National and subnational data are mapped to grid cells at a spatial resolution of 30 arc-seconds (~1 km) (Version 1 has a spatial resolution of 1/4 degree, ~28 km at the equator), allowing for easy integration with demographic, environmental, and other spatial data.", "license": "proprietary" }, @@ -53529,7 +53529,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1457414586-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1457414586-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDIzXSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyM10ifQ%3D%3D/CIESIN_SEDAC_SDEI_GFED4_CLTAB_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDI2XSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyNl0ifQ%3D%3D/CIESIN_SEDAC_SDEI_GFED4_CLTAB_1.00", "description": "The Global Fire Emissions Indicators, Country-Level Tabular Data: 1997-2015 contains country tabulations from 1997 to 2015 for the total area burned (hectares) and total carbon content (tons). The annual total area burned is for all fire types per country. 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This data set combines AOD retrievals from multiple satellite algorithms including the NASA MODerate resolution Imaging Spectroradiometer Collection 6.1 (MODIS C6.1), Multi-angle Imaging SpectroRadiometer Version 23 (MISRv23), MODIS Multi-Angle Implementation of Atmospheric Correction Collection 6 (MAIAC C6), and the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) Deep Blue Version 4. The GEOS-Chem chemical transport model is used to relate this total column measure of aerosol to near-surface PM2.5 concentration. Geographically Weighted Regression (GWR) is used with global ground-based measurements from the World Health Organization (WHO) database to predict and adjust for the residual PM2.5 bias per grid cell in the initial satellite-derived values. These estimates are primarily intended to aid in large-scale studies. Gridded data sets are provided at a resolution of 0.01 degrees to allow users to agglomerate data as best meets their particular needs. Data sets are gridded at the finest resolution of the information sources that were incorporated, but do not fully resolve PM2.5 gradients at the gridded resolution due to influence by information sources at coarser resolution. 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The grids are produced using Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime LST 8-day composite data (MYD11A2). For most regions, the LST grids provide the daytime maximum (1:30 p.m. overpass) and nighttime minimum (1:30 a.m. overpass) LST values for each grid cell from a 40-day time-span during July-August (Julian days 185-224) 2013 in the northern hemisphere and January-February (Julian days 001-040) 2013 in the southern hemisphere. LST grid cells with missing values resulting from high cloud cover in tropical regions were filled with daytime maximum and nighttime minimum LST values from April-May 2013 in the northern hemisphere and December 2013-January 2014 in the southern hemisphere, where available. 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For each satellite-derived NO2 source, the relationship between satellite observations of tropospheric NO2 column densities and the NO2 concentrations at ground level relevant to human exposure is simulated, using the Goddard Earth Observing System chemical transport model (GEOS-Chem) to produce a mean NO2 concentration raster grid. The grid cell resolution is six arc-minutes (0.1 degree, or approximately 10 km at the equator) covering the global land surface.", "license": "proprietary" }, @@ -53594,7 +53594,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2175347697-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2175347697-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDIzXSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyM10ifQ%3D%3D/CIESIN_SEDAC_SDEI_UHE_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIGVhcnRocXVha2UgdG90YWwgZWNvbm9taWMgbG9zcyByaXNrIGRlY2lsZXNcIixcIlNFREFDXCIsXCJDSUVTSU5fQ0hSUl9OREhfRVFVQUtFX1RFTFJEXCIsXCIxLjAwXCIsMTc5MDAxNzc0LDI2XSIsInVtbSI6IltcImdsb2JhbCBlYXJ0aHF1YWtlIHRvdGFsIGVjb25vbWljIGxvc3MgcmlzayBkZWNpbGVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX0NIUlJfTkRIX0VRVUFLRV9URUxSRFwiLFwiMS4wMFwiLDE3OTAwMTc3NCwyNl0ifQ%3D%3D/CIESIN_SEDAC_SDEI_UHE_1.00", "description": "The Global High Resolution Daily Extreme Urban Heat Exposure (UHE-Daily), 1983-2016 data set contains a high-resolution, longitudinal global record of geolocated urban extreme heat events and urban population exposure estimates for more than 10,000 urban settlements worldwide for 1983-2016. Urban extreme heat events and urban population exposure are identified for each urban settlement in the data record for five combined temperature-humidity thresholds: two-day or longer periods where the daily maximum Heat Index (HImax) > 40.6 \u00ef\u00bf\u00bdC; one-day or longer periods where HImax > 46.1 \u00ef\u00bf\u00bdC; and one day or longer periods where the daily maximum Wet Bulb Globe Temperature (WBGTmax) > 28 \u00ef\u00bf\u00bdC, 30 \u00ef\u00bf\u00bdC, and 32 \u00ef\u00bf\u00bdC. The WBGTmax thresholds follow the International Standards Organization (ISO) criteria for risk of occupational heat related heat illness, whereas the HImax thresholds follow the U.S. National Weather Services' definition for an excessive heat warning. For each criteria, across urban settlements worldwide, the data set also contains the duration, intensity, and severity of each urban extreme heat event.", "license": "proprietary" }, @@ -53607,7 +53607,7 @@ "bbox": "-176.2, -54.86, 179.46, 78.28", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1399941740-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1399941740-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJ1cmFsLXVyYmFuIG1hcHBpbmcgcHJvamVjdCwgdmVyc2lvbiAxIChncnVtcHYxKTogbmF0aW9uYWwgYWRtaW5pc3RyYXRpdmUgYm91bmRhcmllc1wiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19HUlVNUHYxX05BRE1JTkJORFwiLFwiMS4wMFwiLDIyMTAyMzk0ODAsNV0iLCJ1bW0iOiJbXCJnbG9iYWwgcnVyYWwtdXJiYW4gbWFwcGluZyBwcm9qZWN0LCB2ZXJzaW9uIDEgKGdydW1wdjEpOiBuYXRpb25hbCBhZG1pbmlzdHJhdGl2ZSBib3VuZGFyaWVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX0dSVU1QdjFfTkFETUlOQk5EXCIsXCIxLjAwXCIsMjIxMDIzOTQ4MCw1XSJ9/CIESIN_SEDAC_SDEI_UHI2013_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJ1cmFsLXVyYmFuIG1hcHBpbmcgcHJvamVjdCwgdmVyc2lvbiAxIChncnVtcHYxKTogbmF0aW9uYWwgYWRtaW5pc3RyYXRpdmUgYm91bmRhcmllc1wiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19HUlVNUHYxX05BRE1JTkJORFwiLFwiMS4wMFwiLDIyMTAyMzk0ODAsN10iLCJ1bW0iOiJbXCJnbG9iYWwgcnVyYWwtdXJiYW4gbWFwcGluZyBwcm9qZWN0LCB2ZXJzaW9uIDEgKGdydW1wdjEpOiBuYXRpb25hbCBhZG1pbmlzdHJhdGl2ZSBib3VuZGFyaWVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX0dSVU1QdjFfTkFETUlOQk5EXCIsXCIxLjAwXCIsMjIxMDIzOTQ4MCw3XSJ9/CIESIN_SEDAC_SDEI_UHI2013_1.00", "description": "The Urban Heat Island (UHI) effect represents the relatively higher temperatures found in urban areas compared to surrounding rural areas owing to higher proportions of impervious surfaces and the release of waste heat from vehicles and heating and cooling systems. Paved surfaces and built structures tend to absorb shortwave radiation from the sun and release long-wave radiation after a lag of a few hours. The Global Urban Heat Island (UHI) Data Set, 2013, estimates the land surface temperature within urban areas in degrees Celsius (average summer daytime maximum and average summer nighttime minimum) as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent. Urban extents are from SEDAC\u00ef\u00bf\u00bds Global Rural-Urban Mapping Project, Version 1 (GRUMPv1), and land surface temperatures are from SEDAC\u00ef\u00bf\u00bds Global Summer Land Surface Temperature (LST) Grids, 2013, which are derived from the Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime Land Surface Temperature (LST) 8-day composite data (MYD11A2). For most regions, the UHI data set provides the average daytime maximum (1:30 p.m. overpass) and average nighttime minimum (1:30 a.m. overpass) temperatures in urban and rural areas, and the urban-rural temperature differences, derived from LST data representing a 40-day time-span during July-August (Julian days 185-224) in the northern hemisphere and January-February (Julian days 001-040) in the southern hemisphere. LST grid cells with missing values resulting from high cloud cover in tropical regions were filled with daytime maximum and nighttime minimum LST values from April-May 2013 in the northern hemisphere and December 2013-January 2014 in the southern hemisphere, where available. Some data gaps remain in areas where data were insufficient (e.g., Central Africa).", "license": "proprietary" }, @@ -53698,7 +53698,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001917-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001917-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=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_SEDAC_SDP_CGDP_A1A2B1B2_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=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_SEDAC_SDP_CGDP_A1A2B1B2_1.00", "description": "The Country-Level GDP and Downscaled Projections Based on the Special Report on Emissions Scenarios (SRES) A1, A2, B1, and B2 marker scenarios, 1990-2100, were developed using the 1990 base year GDP (Gross Domestic Product) from national accounts database available from the UN Statistics Division. SRES regional GDP growth rates were calculated from 1990 to 2100 based on the SRES marker model regional data and applied uniformly to each country that fell within the SRES-defined regions. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -53711,7 +53711,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001918-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001918-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=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_SEDAC_SDP_CPOP_A1B1A2_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=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_SEDAC_SDP_CPOP_A1B1A2_1.00", "description": "The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) A1, B1, and A2 Scenarios, 1990-2100, were adopted in 2000 from population projections realized at the International Institute for Applied Systems Analysis (IIASA) in 1996. The Intergovernmental Panel on Climate Change (IPCC) SRES A1 and B1 scenarios both used the same IIASA \"rapid\" fertility transition projection, which assumes low fertility and low mortality rates. The SRES A2 scenario used a corresponding IIASA \"slow\" fertility transition projection (high fertility and high mortality rates). Both IIASA low and high projections are performed for 13 world regions including North Africa, Sub-Saharan Africa, China and Centrally Planned Asia, Pacific Asia, Pacific OECD, Central Asia, Middle East, South Asia, Eastern Europe, European part of the former Soviet Union, Western Europe, Latin America, and North America. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -53724,7 +53724,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001919-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001919-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=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_SEDAC_SDP_CPOP_B2_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=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_SEDAC_SDP_CPOP_B2_1.00", "description": "The Country-Level Population and Downscaled Projections Based on Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990-2100, were based on the UN 1998 Medium Long Range Projection for the years 1995 to 2100. The official version projects population for 8 regions of the world including Africa, Asia (minus India and China), India, China, Europe, Latin America, Northern America, and Oceania. This data set is produced and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).", "license": "proprietary" }, @@ -53750,7 +53750,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179001925-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179001925-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyMl0iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIyXSJ9/CIESIN_SEDAC_SDP_GPOP_B2_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIDE1IHggMTUgbWludXRlIGdyaWRzIG9mIHRoZSBkb3duc2NhbGVkIGdkcCBiYXNlZCBvbiB0aGUgc3JlcyBiMiBzY2VuYXJpbywgMTk5MCBhbmQgMjAyNVwiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19TRFBfR0dEUF9CMlwiLFwiMS4wMFwiLDE3OTAwMTkyNCwyM10iLCJ1bW0iOiJbXCJnbG9iYWwgMTUgeCAxNSBtaW51dGUgZ3JpZHMgb2YgdGhlIGRvd25zY2FsZWQgZ2RwIGJhc2VkIG9uIHRoZSBzcmVzIGIyIHNjZW5hcmlvLCAxOTkwIGFuZCAyMDI1XCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX1NEUF9HR0RQX0IyXCIsXCIxLjAwXCIsMTc5MDAxOTI0LDIzXSJ9/CIESIN_SEDAC_SDP_GPOP_B2_1.00", "description": "The Global 15x15 Minute Grids of the Downscaled Population Based on the Special Report on Emissions Scenarios (SRES) B2 Scenario, 1990 and 2025, are geospatial distributions of the downscaled population per Unit area (population densities). 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MER is the exchange rate between local and U.S. dollar currencies for a given time period established by the market. PPP is the exchange rate between a country's currency and U.S. dollars adjusted to reflect the actual cost in U.S. dollars of purchasing a standardized market basket of goods in that country using the country's currency. 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Spatial urban land projections are key inputs for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts and adaptation. This data set presents a set of global, spatially explicit urban land scenarios that are consistent with the Shared Socioeconomic Pathways (SSPs) to produce an empirically-grounded set of urban land spatial distributions over the 21st century. A data-science approach is used exploiting 15 diverse data sets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations from the Landsat satellite series. 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It assembles data from C-band sensors onboard the European Remote Sensing Satellites (ERS-1 and ERS-2) covering 1993-2000, Advanced Scatterometer (ASCAT) onboard EUMETSAT satellites for 2007-2020, and the Ku-band sensor onboard the QuikSCAT satellite for 1999-2009, onto a common spatial grid (0.05 degree latitude /longitude resolution) and time step (both monthly and seasonal). Data are provided for all land (except high latitudes and islands), and for urban grid cells, based on a specific masking that removes grid cells with > 50% open water or < 20% built land. The all-land data allows users to choose and evaluate other urban masks. There is an offset between C-band and Ku-band backscatter from both vegetated and urban surfaces that is not spatially constant. There is a strong linear correlation (overall R-squared value = 0.69) between 2015 ASCAT urban backscatter and a continental-scale gridded product of building volume, across 8,450 urban grid cells (0.05 degree resolution) from large cities in Europe, China, and the United States.", "license": "proprietary" }, @@ -54101,7 +54101,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C3155140117-SEDAC.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C3155140117-SEDAC.html", - "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJ1cmFsLXVyYmFuIG1hcHBpbmcgcHJvamVjdCwgdmVyc2lvbiAxIChncnVtcHYxKTogbmF0aW9uYWwgYWRtaW5pc3RyYXRpdmUgYm91bmRhcmllc1wiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19HUlVNUHYxX05BRE1JTkJORFwiLFwiMS4wMFwiLDIyMTAyMzk0ODAsNV0iLCJ1bW0iOiJbXCJnbG9iYWwgcnVyYWwtdXJiYW4gbWFwcGluZyBwcm9qZWN0LCB2ZXJzaW9uIDEgKGdydW1wdjEpOiBuYXRpb25hbCBhZG1pbmlzdHJhdGl2ZSBib3VuZGFyaWVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX0dSVU1QdjFfTkFETUlOQk5EXCIsXCIxLjAwXCIsMjIxMDIzOTQ4MCw1XSJ9/CIESIN_SEDAC_USPAT_GUPPD_V1_1.00", + "href": "https://cmr.earthdata.nasa.gov/stac/SEDAC/collections?cursor=eyJqc29uIjoiW1wiZ2xvYmFsIHJ1cmFsLXVyYmFuIG1hcHBpbmcgcHJvamVjdCwgdmVyc2lvbiAxIChncnVtcHYxKTogbmF0aW9uYWwgYWRtaW5pc3RyYXRpdmUgYm91bmRhcmllc1wiLFwiU0VEQUNcIixcIkNJRVNJTl9TRURBQ19HUlVNUHYxX05BRE1JTkJORFwiLFwiMS4wMFwiLDIyMTAyMzk0ODAsN10iLCJ1bW0iOiJbXCJnbG9iYWwgcnVyYWwtdXJiYW4gbWFwcGluZyBwcm9qZWN0LCB2ZXJzaW9uIDEgKGdydW1wdjEpOiBuYXRpb25hbCBhZG1pbmlzdHJhdGl2ZSBib3VuZGFyaWVzXCIsXCJTRURBQ1wiLFwiQ0lFU0lOX1NFREFDX0dSVU1QdjFfTkFETUlOQk5EXCIsXCIxLjAwXCIsMjIxMDIzOTQ4MCw3XSJ9/CIESIN_SEDAC_USPAT_GUPPD_V1_1.00", "description": "The Global Urban Polygons and Points Dataset (GUPPD), Version 1 is a global data set of 123,034 urban settlements with place names and population for the years 1975-2030 in five-year increments. 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Measurements from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard DMSP-F17 are also included. The data set has been generated using the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) Bootstrap Algorithm with daily varying tie-points. Daily (every other day prior to July 1987) and monthly data are available for both the north and south polar regions. Data are gridded on the SSM/I polar stereographic grid (25 x 25 km) and provided in two-byte integer format. 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Data are provided as HDF5-formatted files. Browse images are also available.", "license": "proprietary" }, @@ -147038,7 +147038,7 @@ "bbox": "-180, -60, 180, 60", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C191091721-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C191091721-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1M10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODUzXSJ9/NmAVCS3G_1", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1NV0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODU1XSJ9/NmAVCS3G_1", "description": "This data set (NmAVCS3G) consists of daily image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery for the region between 60 N and 60 S. 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For the HDF5 formatted version of these data, see Nimbus Advanced Vidicon Camera System Remapped Visible Imagery Daily L3, HDF5.", "license": "proprietary" }, @@ -147051,7 +147051,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C191091722-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C191091722-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1M10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODUzXSJ9/NmAVCS3H_1", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1NV0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODU1XSJ9/NmAVCS3H_1", "description": "This data set (NmAVCS3H) consists of daily, global image composites constructed from Nimbus 1 (1964) and Nimbus 2 (1966) Advanced Vidicon Camera System (AVCS) imagery. 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A correction has been applied to minimize seemingly random alignment errors that caused clouds edges and land features to appear jagged in the original 1960s data.", "license": "proprietary" }, @@ -147077,7 +147077,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1703453177-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1703453177-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1M10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODUzXSJ9/NmHRIR1T_1", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1NV0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODU1XSJ9/NmHRIR1T_1", "description": "This data set consists of daily, global grayscale TIFF images derived from radiative temperatures measured in the 3.4 to 4.2 \u00b5m window. 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Measurements were obtained during 1964, 1966, and 1969. Data are available as GeoTIFFs and browse images. 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Browse images are also available.", "license": "proprietary" }, @@ -147116,7 +147116,7 @@ "bbox": "-180, -90, 180, 90", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1609529618-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1609529618-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1M10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODUzXSJ9/NmIDCS1H_1", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1NV0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODU1XSJ9/NmIDCS1H_1", "description": "The Nimbus Image Dissector Camera System Visible Imagery L1, HDF5 (NmIDCS1H) data set consists of black-and-white images captured by the Image Dissector Camera Systems (IDCSs) onboard the Nimbus 3 and Nimbus 4 satellites. Data are provided as HDF5-formatted files. Browse images are also available.", "license": "proprietary" }, @@ -147129,7 +147129,7 @@ "bbox": "-180, -60, 180, 60", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1609635077-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1609635077-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1M10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODUzXSJ9/NmIDCS3G_1", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1NV0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODU1XSJ9/NmIDCS3G_1", "description": "This data set (NmIDCS3G) consists of daily, global image composites constructed from Nimbus 3 and Nimbus 4 Image Dissector Camera System (IDCS) imagery for the region between 60 N and 60 S. 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This window was used to measure cloud top or surface temperatures. Data files are GeoTIFF versions of the HDF-formatted equatorial projection file only from the Nimbus Temperature-Humidity Infrared Radiometer 11.5 \u00b5m Remapped Digital Data Daily L3, HDF5 (NmTHIR115-3H) data set.", "license": "proprietary" }, @@ -166876,7 +166876,7 @@ "bbox": "-180, -85.044, 180, 85.044", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2312096175-NSIDC_ECS.html", - "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1M10iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODUzXSJ9/SPL2SMP_NRT_107", + "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_ECS/collections?cursor=eyJqc29uIjoiW1wibmVhciByZWFsLXRpbWUgc21hcCBsMWIgcmFkaW9tZXRlciBoYWxmLW9yYml0IHRpbWUtb3JkZXJlZCBicmlnaHRuZXNzIHRlbXBlcmF0dXJlcyB2MTA1XCIsXCJOU0lEQ19FQ1NcIixcIlNQTDFCVEJfTlJUXCIsXCIxMDVcIiwyMjU3OTU4NDMwLDg1NV0iLCJ1bW0iOiJbXCJuZWFyIHJlYWwtdGltZSBzbWFwIGwxYiByYWRpb21ldGVyIGhhbGYtb3JiaXQgdGltZS1vcmRlcmVkIGJyaWdodG5lc3MgdGVtcGVyYXR1cmVzIHYxMDVcIixcIk5TSURDX0VDU1wiLFwiU1BMMUJUQl9OUlRcIixcIjEwNVwiLDIyNTc5NTg0MzAsODU1XSJ9/SPL2SMP_NRT_107", "description": "This Near Real-Time (NRT) data set corresponds to the standard SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture (SPL2SMP) product. The data provide estimates of global land surface conditions measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer, the SMAP L-band radiometer. These Near Real-Time data are available within three hours of satellite observation. The data are created using the latest available ancillary data and spacecraft and antenna attitude data to reduce latency. The SMAP satellite orbits Earth every two to three days, providing half-orbit, ascending and descending, coverage from 86.4\u00b0S to 86.4\u00b0N in swaths 1000 km across. Data are stored for approximately two to three weeks. Thus, at any given time, users have access to at least fourteen consecutive days of Near Real-Time data through the NSIDC DAAC. Users deciding between the NRT and standard SMAP products should consider the immediacy of their needs versus the quality of the data required. Near real-time data are provided for operational needs whereas standard products meet the quality needs of scientific research. If latency is not a primary concern, users are encouraged to use the standard science product SPL2SMP (https://doi.org/10.5067/LPJ8F0TAK6E0).", "license": "proprietary" }, @@ -172531,7 +172531,7 @@ "bbox": "-170, 10, -10, 80", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851180-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2842851180-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TEMPO_IRRR_L1_V02", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TEMPO_IRRR_L1_V02", "description": "Level 1 reference irradiance files provide solar irradiance measured using the reference solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details. These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters. Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status. The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.", "license": "proprietary" }, @@ -172544,7 +172544,7 @@ "bbox": "-170, 10, -10, 80", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930728569-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930728569-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TEMPO_IRRR_L1_V03", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TEMPO_IRRR_L1_V03", "description": "Level 1 reference irradiance files provide solar irradiance measured using the reference solar diffuser. 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Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. Please refer to the ATBD for details. These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters. Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status. The TEMPO Level 1 ATBD is still being finalized. 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Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration.", "license": "proprietary" }, @@ -172583,7 +172583,7 @@ "bbox": "-170, 10, -10, 80", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930725014-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930725014-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TEMPO_NO2_L2_V03", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TEMPO_NO2_L2_V03", "description": "Nitrogen dioxide Level 2 files provide trace gas information at TEMPO\u2019s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. 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The retrieval is based on the OMI TOMS V8.5 algorithm adapted for TEMPO.", "license": "proprietary" }, @@ -172622,7 +172622,7 @@ "bbox": "-170, 10, -10, 80", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2930764281-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2930764281-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TEMPO_O3TOT_L3_V03", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TEMPO_O3TOT_L3_V03", "description": "Total ozone Level 3 files provide ozone information on a regular grid covering the TEMPO field of regard for nominal TEMPO observations. Level 3 files are derived by combining information from all Level 2 files constituting a TEMPO East-West scan cycle. The files are provided in netCDF4 format, and contain information on total column ozone and some auxiliary derived and ancillary input parameters including effective cloud fraction, effective cloud pressure, radiative cloud fraction, SO2 index, and terrain pressure. The re-gridding algorithm uses an area-weighted approach.", "license": "proprietary" }, @@ -176470,7 +176470,7 @@ "bbox": "-119.98, -37.99, 39.56, 35.7", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813511488-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813511488-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data_1", "description": "TRACE-A_AircraftRemoteSensing_DC8_DIAL_Data is the remotely sensed Differential Absorption Lidar (DIAL) data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176483,7 +176483,7 @@ "bbox": "-55.78, -16.5, -47.97, -10", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813530054-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813530054-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_Brazil_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_Brazil_Data_1", "description": "TRACE-A_Brazil_Data is the aircraft and rawinsonde data collected in Brazil during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Advanced Very High Resolution Radiometer (AVHRR) is featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176496,7 +176496,7 @@ "bbox": "-180, -59.98, 58.68, 43.575", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813514891-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813514891-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_Merge_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_Merge_Data_1", "description": "TRACE-A_Merge_Data is merge data files created from data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176509,7 +176509,7 @@ "bbox": "-125.845, -43.575, 39.562, 43.575", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813523553-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813523553-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_MetNav_AircraftInSitu_DC8_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_MetNav_AircraftInSitu_DC8_Data_1", "description": "TRACE-A_MetNav_AircraftInSitu_DC8_Data is the in situ meteorology and navigation data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176522,7 +176522,7 @@ "bbox": "-80.5, -40.5, -79.5, -39.5", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813538048-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813538048-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_Satellite_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_Satellite_Data_1", "description": "TRACE-A_Satellite_Data is the supplementary satellite data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the NOAA 10, 11, and 12 satellites and the Total Ozone Mapping Spectrometer (TOMS) satellite instrument are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176535,7 +176535,7 @@ "bbox": "-56, -25.9, 28.2, -4.27", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813533459-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813533459-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_Sondes_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_Sondes_Data_1", "description": "TRACE-A_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176548,7 +176548,7 @@ "bbox": "-180, -59.98, 58.68, 43.575", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813461507-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813461507-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_TraceGas_AircraftInSitu_DC8_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_TraceGas_AircraftInSitu_DC8_Data_1", "description": "TRACE-A_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176561,7 +176561,7 @@ "bbox": "-180, -60, 58.69, 19.95", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813542787-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813542787-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-A_Trajectory_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-A_Trajectory_Data_1", "description": "TRACE-A_Trajectory_Data is the kinematic trajectory data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October.\u202fNASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal.\u202f The NASA DC-8 aircraft\u202fand\u202fozonesondes\u202fwere\u202futilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few\u202finstruments on the DC-8 include the Differential Absorption Lidar (DIAL),\u202fthe Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified\u202fLicor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone,\u202fand ozone column. The Laser-Induced Fluorescence instrument\u202fcollected measurements on\u202fNxOy\u202fin the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified\u202fLicor\u202frecorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2.\u202fOzonesondes\u202fplayed a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.\u202f", "license": "proprietary" }, @@ -176574,7 +176574,7 @@ "bbox": "-180, 6.89, 180, 45.7", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812939178-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-P_Aerosol_AircraftInSitu_DC8_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-P_Aerosol_AircraftInSitu_DC8_Data_1", "description": "TRACE-P_Aerosol_AircraftInSitu_DC8_Data is the in-situ aerosol data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ", "license": "proprietary" }, @@ -176613,7 +176613,7 @@ "bbox": "-180, 6.89, 180, 45.7", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812953981-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812953981-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-P_Cloud_AircraftInSitu_DC8_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-P_Cloud_AircraftInSitu_DC8_Data_1", "description": "TRACE-P_Cloud_AircraftInSitu_DC8_Data is the in-situ cloud data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ", "license": "proprietary" }, @@ -176704,7 +176704,7 @@ "bbox": "141.33, 19.43, -155.04, 43.05", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2813394939-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2813394939-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-P_Sondes_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-P_Sondes_Data_1", "description": "TRACE-P_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. 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The imagery was used to best aid in planning for the aircraft deployment.\u202f\u202f ", "license": "proprietary" }, @@ -176717,7 +176717,7 @@ "bbox": "-180, 6.89, 180, 45.7", "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2812936149-LARC_CLOUD.umm_json", "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2812936149-LARC_CLOUD.html", - "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIiwidW1tIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDldIn0%3D/TRACE-P_TraceGas_AircraftInSitu_DC8_Data_1", + "href": "https://cmr.earthdata.nasa.gov/stac/LARC_CLOUD/collections?cursor=eyJqc29uIjoiW1widGVtcG8gZ3JpZGRlZCBubzIgdHJvcG9zcGhlcmljIGFuZCBzdHJhdG9zcGhlcmljIGNvbHVtbnMgdjAzIChiZXRhKVwiLFwiTEFSQ19DTE9VRFwiLFwiVEVNUE9fTk8yX0wzXCIsXCJ2MDNcIiwyOTMwNzYzMjYzLDEwXSIsInVtbSI6IltcInRlbXBvIGdyaWRkZWQgbm8yIHRyb3Bvc3BoZXJpYyBhbmQgc3RyYXRvc3BoZXJpYyBjb2x1bW5zIHYwMyAoYmV0YSlcIixcIkxBUkNfQ0xPVURcIixcIlRFTVBPX05PMl9MM1wiLFwidjAzXCIsMjkzMDc2MzI2MywxMF0ifQ%3D%3D/TRACE-P_TraceGas_AircraftInSitu_DC8_Data_1", "description": "TRACE-P_TraceGas_AircraftInSitu_DC8_Data is the in-situ trace gas data collected onboard the DC-8 aircraft during the Transport and Chemical Evolution over the Pacific (TRACE-P) suborbital campaign. Data from the Two Photon - Laser Induced Fluorescence (TP-LIF) and Differential Absorption of CO, CH4, N2O Measurements (DACOM) instruments are featured in this collection. Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. Along with the aircrafts, ground stations measured air quality from China along with C2H2, C2H6, CO, and HCN.\u202fFinally, satellites imagery was used to collect a multitude of data, some of the uses were to observe the history of lightning flashes,\u202fSeaWiFS\u202fcloud imagery, 8-day exposure to TOMS aerosols, and\u202fSeaWiFS\u202faerosol optical thickness. 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Data collection for this product is complete. The NASA TRACE-P mission was a part of NASA\u2019s Global Tropospheric Experiment (GTE) \u2013 an assemblage of missions conducted from 1983-2001 with various research goals and objectives.\u202fTRACE-P was a multi-organizational campaign with NASA, the National Center for Atmospheric Research (NCAR), and several US universities.\u202fTRACE-P deployed\u202fits payloads in the Pacific between the months of March and April 2001 with the goal of studying the air chemistry emerging\u202ffrom Asia\u202fto the western Pacific.\u202fAlong with this, TRACE-P had the objective\u202fstudying\u202fthe chemical evolution of the air as it moved away from Asia.\u202f In order to accomplish its goals, the NASA DC-8 aircraft and NASA P-3B aircraft were deployed, each equipped with various instrumentation.\u202fTRACE-P also relied on ground sites,\u202fand\u202fsatellites\u202fto collect data. The DC-8 aircraft was equipped with 19 instruments in total\u202fwhile the P-3B\u202fboasted\u202f21 total instruments.\u202fSome instruments on the DC-8 include the Nephelometer, the GCMS, the Nitric Oxide Chemiluminescence, the Differential Absorption Lidar (DIAL), and the Dual Channel Collectors and Fluorometers, HPLC. The Nephelometer was utilized to gather data on various\u202fwavelengths\u202fincluding\u202faerosol\u202fscattering\u202f(450, 550, 700nm), aerosol absorption (565nm), equivalent BC mass, and air density ratio. The GCMS was responsible for capturing a multitude of compounds in the atmosphere, some of which include CH4, CH3CHO, CH3Br, CH3Cl, CHBr3, and C2H6O.\u202fDIAL was used for a variety of measurements, some of which include aerosol wavelength dependence (1064/587nm), IR aerosol scattering ratio (1064nm),\u202ftropopause heights and ozone columns, visible aerosol scattering ratio, composite tropospheric ozone cross-sections, and visible aerosol depolarization. Finally, the Dual Channel Collectors and Fluorometers, HPLC collected data on H2O2, CH3OOH, and CH2O in the atmosphere.\u202fThe P-3B aircraft was equipped with various instruments for TRACE-P, some of which include\u202fthe MSA/CIMS, the Non-dispersive IR Spectrometer, the PILS-Ion Chromatograph, and the\u202fCondensation particle counter and Pulse Height Analysis (PHA). The\u202fMSA/CIMS measured OH, H2SO4, MSA, and HNO3. The Non-dispersive IR Spectrometer took measurements on CO2 in the atmosphere. The PILS-Ion Chromatograph recorded measurements of compounds and elements in the atmosphere, including sodium, calcium, potassium, magnesium, chloride, NH4, NO3, and SO4. Finally, the Condensation particle counter and PHA was used to gather data on total UCN, UCN 3-8nm, and UCN 3-4nm. 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The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. 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Current observing frequencies are 56.6 and 58.8 GHz. Measured brightness temperature versus elevation angle is converted to air temperature versus altitude using a statistical retrieval procedure. An altitude temperature profile is produced every three km along the flight path. 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Operating with 25 spectral channels in the 50-190 HGz region, it provides measurements that can be used to infer the 3-D distribution of temperature, water vapor, and liquid water in the atmosphere, even in the presence of clouds. 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The field mills measure the components of the electric field over a wide dynamic range extending from fair weather electric fields, (i.e., a few to tens of V/m) to larger thunderstorm fields (i.e., tens of kV/m). Total lightning (i.e., cloud-to-ground, intracloud) is identified from the abrupt electric field changes in the data. The conductivity probe measures the air conductivity at the aircraft flight altitude. 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An important addition to CAMEX-4 was the participation of the NOAA weather reconnaissance WP-3D that collected radar, video and microphysical data.The NOAA WP-3D Videos were created giving a forward, left, right and downward views relative to the aircraft. Each view is a separate tape. All are recoreded in SVHS format in compressed time mode. That means that the video shows time passing at a rate approximately 12.5 times that of normal speed (e.g. 1 minute real time takes 5 seconds on the video). 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In support of the fourth Convection and Moisture Experiment (CAMEX-4), imagery from the Geostationary Operational Environmental Satellite 8 (GOES-8) was collected and archived. Three channels were archived: channel 1-- visible (0.65 microns), channel 2-- infrared (11 microns) and channel 3-- known as the water vapor channel (6.75 microns). 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