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Merge pull request NCAR#475 from dustinswales/feature/testing_for_rel…
…ease Update testing for release
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,177 @@ | ||
| #!/usr/bin/env python | ||
|
|
||
| ############################################################################## | ||
| # | ||
| # This script compares SCM RT output to baselines. | ||
| # | ||
| ############################################################################## | ||
| from netCDF4 import Dataset | ||
| import numpy as np | ||
| import matplotlib.pyplot as plt | ||
| # | ||
| def plot_results(file_BL, file_RT, plot_RT_only): | ||
| # List of SCM output fields to plot (This is everything) | ||
| vars2plot = ["time_inst","time_diag","time_swrad","time_lwrad","time_rad","pres", \ | ||
| "pres_i","sigma","sigma_i","pres_s","qv","T","u","v","ql","qi","qc", \ | ||
| "qv_force_tend","T_force_tend","u_force_tend","v_force_tend","w_ls", \ | ||
| "u_g","v_g","dT_dt_rad_forc","h_advec_thil","h_advec_qt", \ | ||
| "v_advec_thil","v_advec_qt","T_s","lhf","shf","tprcp_inst", \ | ||
| "tprcp_rate_inst","t2m","q2m","ustar","tsfc","tau_u","tau_v","upd_mf", \ | ||
| "dwn_mf","det_mf","sfc_up_lw_land","sfc_up_lw_ice","sfc_up_lw_water", \ | ||
| "sfc_up_sw_dir_nir","sfc_up_sw_dif_nir","sfc_up_sw_dir_vis", \ | ||
| "sfc_up_sw_dif_vis","sfc_dwn_sw_dir_nir","sfc_dwn_sw_dif_nir", \ | ||
| "sfc_dwn_sw_dir_vis","sfc_dwn_sw_dif_vis","mp_prcp_inst", \ | ||
| "dcnv_prcp_inst","scnv_prcp_inst","pwat","dT_dt_lwrad","dT_dt_swrad", \ | ||
| "dT_dt_pbl","dT_dt_deepconv","dT_dt_shalconv","dT_dt_micro", \ | ||
| "dT_dt_ogwd","dT_dt_cgwd","dT_dt_phys","dT_dt_nonphys","dq_dt_pbl", \ | ||
| "dq_dt_deepconv","dq_dt_shalconv","dq_dt_micro","dq_dt_phys", \ | ||
| "dq_dt_nonphys","doz_dt_pbl","doz_dt_prodloss","doz_dt_oz","doz_dt_T", \ | ||
| "doz_dt_ovhd","doz_dt_phys","doz_dt_nonphys","du_dt_pbl","du_dt_ogwd", \ | ||
| "du_dt_deepconv","du_dt_cgwd","du_dt_shalconv","du_dt_phys", \ | ||
| "du_dt_nonphys","dv_dt_pbl","dv_dt_ogwd","dv_dt_deepconv","dv_dt_cgwd", \ | ||
| "dv_dt_shalconv","dv_dt_phys","dv_dt_nonphys","sfc_dwn_sw","sfc_up_sw", \ | ||
| "sfc_net_sw","sfc_dwn_lw","gflux","u10m","v10m","hpbl","tprcp_accum", \ | ||
| "ice_accum","snow_accum","graupel_accum","conv_prcp_accum", \ | ||
| "tprcp_rate_accum","ice_rate_accum","snow_rate_accum", \ | ||
| "graupel_rate_accum","conv_prcp_rate_accum","max_cloud_fraction", \ | ||
| "toa_total_albedo","vert_int_lwp_mp","vert_int_iwp_mp", \ | ||
| "vert_int_lwp_cf","vert_int_iwp_cf"] | ||
| # Use subset of available SCM output for plots. | ||
| vars2plot = ["qv","T","u","v","ql","qi","qc","sfc_dwn_sw","sfc_up_sw", \ | ||
| "sfc_net_sw","sfc_dwn_lw", "u10m","v10m","hpbl","gflux", \ | ||
| "qv_force_tend","T_force_tend","u_force_tend","v_force_tend","w_ls", \ | ||
| "u_g","v_g","dT_dt_rad_forc","h_advec_thil","h_advec_qt", \ | ||
| "v_advec_thil","v_advec_qt","T_s","lhf","shf","tprcp_inst", \ | ||
| "tprcp_rate_inst","t2m","q2m","ustar","tsfc","tau_u","tau_v"] | ||
|
|
||
| # Open SCM datasets | ||
| SCM_BL = Dataset(file_BL) | ||
| SCM_RT = Dataset(file_RT) | ||
|
|
||
| plot_diff = True | ||
| if plot_RT_only: | ||
| plot_diff = False | ||
| # end if | ||
|
|
||
| plot_files = [] | ||
| for var in SCM_BL.variables.keys(): | ||
| if (var in vars2plot): | ||
| # Handle temporal axis. | ||
| # There are 4 different dimensions in the SCM output, identified by the suffix "_dim". | ||
| # Here the suffix is stripped and used to identify the temporal dimenesion (index 0 in netcdf file) | ||
| timeD = SCM_BL[var].dimensions[0] | ||
| timeD = timeD[0:len(timeD)-4] | ||
| x1 = SCM_BL[timeD][:].squeeze()/3600. #seconds -> hours | ||
| x2 = SCM_RT[timeD][:].squeeze()/3600. #seconds - >hours | ||
| # Is this a 2D (time, x) variable? (Really 1D since x=1 in SCM) | ||
| is2D = False | ||
| if (len(SCM_BL[var].dimensions)==2): | ||
| is2D = True | ||
| # endif | ||
| # one/two-dimensional variables | ||
| if (len(SCM_BL[var].shape) != 3): | ||
| if (is2D): | ||
| y1 = SCM_BL[var][:,0].squeeze() | ||
| y2 = SCM_RT[var][:,0].squeeze() | ||
| else: | ||
| y1 = SCM_BL[var][:] | ||
| y2 = SCM_RT[var][:] | ||
| # endif | ||
|
|
||
| # Make figure | ||
| if (np.size(x1) > 1): | ||
| fig = plt.figure(figsize=(13,10)) | ||
| # Baselines and SCM RTs on same plot | ||
| if plot_diff: | ||
| plt.subplot(2,1,1) | ||
| # end if | ||
| plt.title(SCM_BL[var].description) | ||
| if plot_RT_only: | ||
| plt.plot(x1, y1, color='blue') | ||
| else: | ||
| plt.plot(x1, y1, color='blue') | ||
| plt.plot(x2, y2, color='black') | ||
| # end if | ||
| plt.ylabel('('+SCM_BL[var].units+')') | ||
| plt.xlabel('(hours)') | ||
|
|
||
| # Difference (Baseline-SCMRT) | ||
| if plot_diff: | ||
| plt.subplot(2,1,2) | ||
| plt.title("Difference (blue - black)") | ||
| plt.plot(x1, y1 - y2, color='red') | ||
| plt.plot(x1, np.zeros(len(y1)), color='grey',linestyle='dashed') | ||
| plt.ylabel('('+SCM_RT[var].units+')') | ||
| plt.xlabel('(hours)') | ||
| # | ||
| fileOUT = 'scm.' + var +'.png' | ||
| plt.savefig(fileOUT) | ||
| # | ||
| plot_files.append(fileOUT) | ||
| # three-dimensional variables | ||
| elif len(SCM_BL[var].shape) == 3: | ||
| z1 = np.transpose(SCM_BL[var][:,:,0]).squeeze() | ||
| z2 = np.transpose(SCM_RT[var][:,:,0]).squeeze() | ||
|
|
||
| # vertical axis | ||
| y1 = SCM_BL["pres"][0,:].squeeze()*0.01 | ||
| y2 = SCM_RT["pres"][0,:].squeeze()*0.01 | ||
| nlev = SCM_BL[var][:,:,0].shape[1] | ||
| # Layer (nlev) quantities are the default, so check for case where we have an | ||
| # interface (nlev+1) variable to plot. | ||
| if (SCM_BL[var][:,:,0].shape[1] > len(y1)): | ||
| y1 = SCM_BL["pres_i"][0,:].squeeze()*0.01 | ||
| y2 = SCM_RT["pres_i"][0,:].squeeze()*0.01 | ||
| # endif | ||
|
|
||
| # Comppute differences and determine valid plot range(s). | ||
| dz = z1-z2 | ||
|
|
||
| # Finally, make figure. | ||
| if (np.size(x1) > 1): | ||
| fig = plt.figure(figsize=(13,10)) | ||
| if plot_RT_only: | ||
| plt.contourf(x2, y2, z2, 20, cmap='YlGnBu') | ||
| plt.ylim(1000,200) | ||
| plt.ylabel('(Pa)') | ||
| plt.xlabel('(hours)') | ||
| cbr = plt.colorbar() | ||
| cbr.set_label('('+SCM_RT[var].units+')') | ||
| else: | ||
| # Baselines | ||
| plt.subplot(3,1,1) | ||
| plt.title(SCM_BL[var].description, fontsize=12) | ||
| plt.contourf(x1, y1, z1, 20, cmap='YlGnBu') | ||
| plt.ylim(1000,200) | ||
| plt.ylabel('(Pa)') | ||
| cbr = plt.colorbar() | ||
| cbr.set_label('('+SCM_RT[var].units+')') | ||
| # SCM RTs | ||
| plt.subplot(3,1,2) | ||
| plt.contourf(x2, y2, z2, 20, cmap='YlGnBu') | ||
| plt.ylim(1000,200) | ||
| plt.ylabel('(Pa)') | ||
| plt.xlabel('(hours)') | ||
| cbr = plt.colorbar() | ||
| cbr.set_label('('+SCM_RT[var].units+')') | ||
| # Only plot differences if they exist. | ||
| if np.count_nonzero(dz) > 0: | ||
| plt.subplot(3,1,3) | ||
| plt.title("Difference (top - middle)", fontsize=8) | ||
| plt.contourf(x2, y2, dz, 20, cmap='bwr') | ||
| plt.ylim(1000,200) | ||
| plt.ylabel('(Pa)') | ||
| plt.xlabel('(hours)') | ||
| cbr = plt.colorbar() | ||
| cbr.set_label('('+SCM_RT[var].units+')') | ||
| # end if (no differences exist) | ||
| fileOUT = 'scm.' + var +'.png' | ||
| plt.savefig(fileOUT) | ||
| # | ||
| plot_files.append(fileOUT) | ||
| # end if (Have enought pts to plot?) | ||
| # end if (fields exist?) | ||
| # end if (field requested?) | ||
| # end for (fields in file) | ||
|
|
||
| return(plot_files) |
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