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Salteras_CALMET.R
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library(here)
source(here::here('libraries.R'))
# DONWLOAD SALTERAS ------------------------------------------------------
library(XML)
library(request)
if(!dir.exists(here::here('Data/Parques/Salteras/WEB'))){dir.create(here::here('Data/Parques/Salteras/WEB'))}
####VEMOS EN LA PÁGINA QUE EL PRIMER DATO ES DE EL 20 DE DICIEMBRE
#EL FORMATO ES EL SIGUIENTE YYYY-MM-D 2019-01-2
FIRST_DAY<- ymd("2018/12/20")
HOY<- now() %>% as.character() %>% str_split(" ") %>% .[[1]] %>% .[1] %>% ymd()
FECHA<- FIRST_DAY %>% as.character()
URL_SALTERAS<- paste0("https://www.wunderground.com/dashboard/pws/ISALTERA2/table/",FECHA,"/",FECHA,"/daily")
tables_salteras<- tryCatch({readHTMLTable(htmlParse(GET(URL_SALTERAS))) %>% .[[4]]},
error=function(e){"NO-DATA"})
if(tables_salteras=="NO-DATA"){k<-k+1}else{
colnames(tables_salteras)<- c("Time","Temperature", "Dew Point", "Humidity", "Wind", "Speed", "Gust",
"Pressure", "Precip. Rate.", "Precip. Accum.", "UV", "Solar")
########CAMBIOS DE UNIDADES SALTERAS
tables_salteras$Temperature<- as.character(tables_salteras$Temperature) %>%
str_remove("F") %>% str_trim() %>% as.numeric() %>% -32 %>% "*"(5) %>% "/"(9) %>% round(digits = 2)
tables_salteras$`Dew Point`<- as.character(tables_salteras$`Dew Point`) %>%
str_remove("F") %>% str_trim() %>% as.numeric() %>% -32 %>% "*"(5) %>% "/"(9) %>% round(digits = 2)
tables_salteras$Humidity<- as.character(tables_salteras$Humidity) %>%
str_remove("%") %>% str_trim() %>% as.numeric()
tables_salteras$Speed<- as.character(tables_salteras$Speed) %>%
str_remove("mph") %>% str_trim() %>% as.numeric() %>% "/"(2.237) %>% round(digits = 3)
tables_salteras$Gust<- as.character(tables_salteras$Gust) %>%
str_remove("mph") %>% str_trim() %>% as.numeric() %>% "/"(2.237) %>% round(digits = 3)
tables_salteras$Pressure<- as.character(tables_salteras$Pressure) %>%
str_remove("in") %>% str_trim() %>% as.numeric() %>% "*"(25.4) %>% round(digits = 3)
tables_salteras$`Precip. Rate.`<- as.character(tables_salteras$`Precip. Rate.`) %>%
str_remove("in") %>% str_trim() %>% as.numeric() %>% "*"(25.4) %>% round(digits = 3)
tables_salteras$`Precip. Accum.`<- as.character(tables_salteras$`Precip. Accum.`) %>%
str_remove("in") %>% str_trim() %>% as.numeric() %>% "*"(25.4) %>% round(digits = 3)
tables_salteras$Solar<- as.character(tables_salteras$Solar) %>%
str_remove("w/m²") %>% str_trim() %>% as.numeric()
lista_web[[FIRST_DAY %>% as.character()]]<- tables_salteras
}
lista_web<- list()
k<- 1
while (TRUE) {
HOY<- now() %>% as.character() %>% str_split(" ") %>% .[[1]] %>% .[1] %>% ymd()
FECHA<- FIRST_DAY %>% as.character()
URL_SALTERAS<- paste0("https://www.wunderground.com/dashboard/pws/ISALTERA2/table/",FECHA,"/",FECHA,"/daily")
tables_salteras<- tryCatch({readHTMLTable(htmlParse(GET(URL_SALTERAS))) %>% .[[4]]},
error=function(e){"NO-DATA"})
if(tables_salteras=="NO-DATA"){k<-k+1}else{
colnames(tables_salteras)<- c("Time","Temperature", "Dew Point", "Humidity", "Wind", "Speed", "Gust",
"Pressure", "Precip. Rate.", "Precip. Accum.", "UV", "Solar")
########CAMBIOS DE UNIDADES SALTERAS
tables_salteras$Temperature<- as.character(tables_salteras$Temperature) %>%
str_remove("F") %>% str_trim() %>% as.numeric() %>% -32 %>% "*"(5) %>% "/"(9) %>% round(digits = 2)
tables_salteras$`Dew Point`<- as.character(tables_salteras$`Dew Point`) %>%
str_remove("F") %>% str_trim() %>% as.numeric() %>% -32 %>% "*"(5) %>% "/"(9) %>% round(digits = 2)
tables_salteras$Humidity<- as.character(tables_salteras$Humidity) %>%
str_remove("%") %>% str_trim() %>% as.numeric()
tables_salteras$Speed<- as.character(tables_salteras$Speed) %>%
str_remove("mph") %>% str_trim() %>% as.numeric() %>% "/"(2.237) %>% round(digits = 3)
tables_salteras$Gust<- as.character(tables_salteras$Gust) %>%
str_remove("mph") %>% str_trim() %>% as.numeric() %>% "/"(2.237) %>% round(digits = 3)
tables_salteras$Pressure<- as.character(tables_salteras$Pressure) %>%
str_remove("in") %>% str_trim() %>% as.numeric() %>% "*"(25.4) %>% round(digits = 3)
tables_salteras$`Precip. Rate.`<- as.character(tables_salteras$`Precip. Rate.`) %>%
str_remove("in") %>% str_trim() %>% as.numeric() %>% "*"(25.4) %>% round(digits = 3)
tables_salteras$`Precip. Accum.`<- as.character(tables_salteras$`Precip. Accum.`) %>%
str_remove("in") %>% str_trim() %>% as.numeric() %>% "*"(25.4) %>% round(digits = 3)
tables_salteras$Solar<- as.character(tables_salteras$Solar) %>%
str_remove("w/m²") %>% str_trim() %>% as.numeric()
lista_web[[FIRST_DAY %>% as.character()]]<- tables_salteras
}
if(k>=10 | HOY==FIRST_DAY){break}
FIRST_DAY<- FIRST_DAY+1
}
for (i in 1:length(lista_web)) {
FECHA<- names(lista_web)[i]
lista_web[[i]]$Time <- paste0(FECHA, " ",lista_web[[i]]$Time) %>% ymd_hm()
}
data_frame_salteras<- bind_rows(lista_web)
fecha_guardado<- now() %>% as.character() %>% str_replace(' ','_')
saveRDS(data_frame_salteras, paste0(here::here('Data/Parques/Salteras/WEB/Salteras_web_data_'),
fecha_guardado,".RDS"))
# DATA CALMET -------------------------------------------------------------
#DOWNLOAD CALMET
#http://troposfera.es/datos/sevilla/calmet_20190522.nc
#print.nc() para informacion aunque ya la he guardado como CALMET_VARIABLES EN MB/
list.files(here::here(), recursive = T) %>% .[str_detect(.,"nc")] %>% .[2] %>% open.nc() %>% print.nc()
Lista_Total<- list()
for (netcdf in 1:19) {
CALMET_netcdf<- list.files(here::here(), recursive = T) %>% .[str_detect(.,"nc")] %>% .[netcdf] %>% open.nc() %>%
read.nc(unpack = T)
FECHAS_CALMET<- CALMET_netcdf$TFLAG[1,2,] %>% paste(str_sub(.,start = 1, end = 4),
str_sub(.,start = 5, end = 8)) %>%
str_split(' ') %>% lapply(., function(x){
y<- ymd('2019-05-01')
year(y)<- as.numeric(x[2])
yday(y)<- as.numeric(x[3])
return(y)
}) %>% lapply(., function(x) as.character(x)) %>% unlist()
Lista_lon_lat<- list()
for (lon in 1:80) {
for (lat in 1:80) {
List_calmet<- list()
for (i in 2:length(CALMET_netcdf)){
List_calmet[[i-1]]<-CALMET_netcdf[[i]][lon,lat,]
}
Tabla_calmet<- List_calmet %>% sapply(., function(x) x) %>% as.data.frame() %>%
cbind(FECHAS_CALMET,.) %>% as.data.frame()
colnames(Tabla_calmet)<-c("Date",names(CALMET_netcdf)[2:length(CALMET_netcdf)])
name_lista<- paste0(as.character(lon),
"_",
as.character(lat))
Lista_lon_lat[[name_lista]]<- Tabla_calmet
}
}
Lista_Total[[netcdf]]<- Lista_lon_lat
}
if(!dir.exists(here::here('Data/Parques/Salteras/CALMET'))){dir.create(here::here('Data/Parques/Salteras/CALMET'))}
hours_ch<- as.character(seq(0,23)) %>% ifelse(nchar(.)==1, paste0(0,.), .) %>% rep(.,2)
Lista_Total<- Lista_Total%>% lapply(., function(x){
lapply(x, function(y){
y$Date<- ymd_h(paste(as.character(y$Date), hours_ch[1:length(y$Date)] ))
return(y)
})
})
lista_merged<- list()
for (i in 1:length(Lista_Total[[1]])){
salteras_table<- data.frame(matrix(ncol = ncol(Lista_Total[[1]][[1]])))
colnames(salteras_table)<- colnames(Lista_Total[[1]][[1]])
for (j in 1:length(Lista_Total)) {
salteras_table<- bind_rows(salteras_table, Lista_Total[[j]][[i]])
}
lista_merged[[i]]<- salteras_table
}
names(lista_merged)<- names(Lista_Total[[1]])
lista_merged_clean<- lapply(lista_merged, function(x){
x[complete.cases(x), ]
x[!duplicated(x$Date),]
})
View(lista_merged_clean)
####SOLUCIONAMOS MIERDA LON-LAT
###EL CALMET OFRECE SOLAMENTE LAS COORDENADAS DE ORIGEN EN UTM
### LA COORDENADA DE ORIGEN SE ENCUENTRA EN LA ESQUINA INFERIOR IZQUIERDA
# SABIENDO QUE HAY 250 M ENTRE PUNTOS PUES YA SE PUENDE CALCULAR LA COORDENADA
##WGS84
LAT_orig<- 37.406
LON_orig<- 6.207
distance_grid<- seq(0,by=250,length.out = 80)
LONS<- destPoint(c(LON_orig,LAT_orig), 90, distance_grid, a=6378137)[,1]
LATS<- destPoint(c(LON_orig,LAT_orig), 0, distance_grid, a=6378137)[,2]
names(lista_merged_clean)<- names(lista_merged_clean) %>% str_split("_") %>% lapply(., function(x){
paste0(LONS[as.numeric(as.character(x[1]))],"_",
LATS[as.numeric(as.character(x[2]))])
})
path_Salteras<- here::here('Data/Parques/Salteras/CALMET/')
saveRDS(lista_merged_clean,paste0(path_Salteras, "Lista_Total_clean.RDS"))
# JUNTAMOS CALMET Y WEB DATA ----------------------------------------------
#CARGAMOS DATOS DE LA PÁGINA WEB
WEB<- list.files(here::here('Data/Parques/Salteras/WEB/'), full.names = T) %>% .[length(.)] %>% readRDS()
colnames(WEB)<- c("Date", colnames(WEB)[2:length(WEB)])
#CARGAMOS DATOS CALMET
path_Salteras<- here::here('Data/Parques/Salteras/CALMET/')
lista_merged_clean<-paste0(path_Salteras, "Lista_Total_clean.RDS") %>% readRDS()
LISTA_CONDATOSWEB<- list()
for (i in 1:length(lista_merged_clean)) {
Historico_NEW<- lista_merged_clean[[i]] %>% .[complete.cases(.), ]
WEB2<- data.frame(matrix(ncol=12))
for (j in 1:nrow(Historico_NEW)) {
WEB2[j,]<- WEB[which.min(abs(WEB$Date-Historico_NEW$Date[j])),]
}
colnames(WEB2)<- c("Date", colnames(WEB)[2:length(WEB)])
WEB2$Date<- as.POSIXct(WEB2$Date,origin = "1970-01-01",tz = "GMT")
WEB2<- WEB2[!duplicated(WEB2$Date),]
WEB2$Date<- round_date(WEB2$Date, unit = "hour")
#JUNTAMOS DATOS
LISTA_CONDATOSWEB[[i]]<- left_join(Historico_NEW,WEB2, by="Date")
}
names(LISTA_CONDATOSWEB)<- names(lista_merged_clean)
SALTERAS_VIENTO<- LISTA_CONDATOSWEB %>% lapply(., function(x){
y<- x[,c("Date", "U", "V","Wind","Speed","Gust")]
u10<- y$U
v10<- y$V
wind_abs <- sqrt(u10^2 + v10^2)
wind_dir_rad <- atan2(u10/wind_abs, v10/wind_abs)
wind_dir_deg1 <- wind_dir_rad * 180/pi
wind_dir_deg2 <- wind_dir_deg1+ 180
y$Dir<- ifelse(y$Wind=="North",0,
ifelse(y$Wind=="NNE", 22.5,
ifelse(y$Wind=="NE", 45,
ifelse(y$Wind=="ENE", 67.5,
ifelse(y$Wind=="East", 90,
ifelse(y$Wind=="ESE", 112.5,
ifelse(y$Wind=="SE", 135,
ifelse(y$Wind=="SSE", 157,
ifelse(y$Wind=="South",180,
ifelse(y$Wind=="SSW", 202.5,
ifelse(y$Wind=="SW", 225.0,
ifelse(y$Wind=="WSW", 247.5,
ifelse(y$Wind=="West", 270,
ifelse(y$Wind=="WNW", 292.5,
ifelse(y$Wind=="NW", 315,
ifelse(y$Wind=="NNW", 337.5,NA))))))))))))))))
y$wind_calmet<- wind_abs
y$dir_calmet<- cut(wind_dir_deg2,
breaks = c(0,seq(11.5,360,22.5), 361),
labels = seq(0,360,22.5))%>%
as.character() %>% ifelse(.==360,0,. ) %>% as.numeric()
return(y)
})
names(SALTERAS_VIENTO)<- names(LISTA_CONDATOSWEB)
path_Salteras<- here::here('Data/Parques/Salteras/Historico/')
saveRDS(SALTERAS_VIENTO,paste0(path_Salteras, "LISTA_LOCALIZACIONES.RDS"))
# GRÁFICAS PRELIMINARES ---------------------------------------------------
View(SALTERAS_VIENTO)
lat<- 37.488919
lon<- -6.093440
Kauras<- c(lon,lat)
Dist_CALMET<-names(SALTERAS_VIENTO) %>% str_split("_") %>% sapply(., function(x){
x<- as.numeric(x)
y<- c(-x[1], x[2])
distm(y, Kauras)
})
#RESTRICCION DE FECHA
#%>%.[which(.$Date>ymd("2019/05/20")),]
SALTERAS_VIENTO[[which.min(Dist_CALMET)]] %>%.[complete.cases(.), ] %>%
ggplot()+
geom_line(aes(x=Date, y=SMA(Speed, 2)),
colour="red")+
geom_point(aes(x=Date, y=Speed),
colour="red",
alpha= 0.4,
size=1.1)+
geom_line(aes(x=Date, y=SMA(wind_calmet, 2)))+
geom_point(aes(x=Date, y=wind_calmet),
alpha= 0.4,
size=1.1)+
ylab("Wind Speed [m/s]")+
labs(subtitle = "CALMET OUTPUT(BLACK)\nVs\nOBSERVED(RED)")+
theme_light()+
theme(plot.subtitle =element_text(hjust = 0.5))
#LOCALIZACION KAURAS KOPRODUCTS
#Rosa de los vientos
#install.packages("openair")
library(openair)
PUNTOMC<- SALTERAS_VIENTO[[which.min(Dist_CALMET)]] %>%.[complete.cases(.), ]
windRose(PUNTOMC,
ws="wind_calmet",
wd="dir_calmet",
paddle = F,
ws.int = 0.25,
breaks = round(max(PUNTOMC$Speed)/0.25),
cols = "jet",
key.position = "right",
offset = 0.01,
dig.lab = 1)
windRose(PUNTOMC,
ws="Speed",
wd="Dir",
paddle = F,
ws.int = 0.25,
breaks = round(max(PUNTOMC$Speed)/0.25),
cols = "jet",
key.position = "right",
offset = 0.01,
dig.lab = 1)
#CREAMOS HISTORICO WRF
#MIRAMOS ULTIMO DATO DE LA WEB
DATA_web<- here::here('Data/Parques/Salteras/WEB/') %>% list.files(full.names = T) %>%
.[length(.)] %>% readRDS()
#DATA NECESARIO
rango_fecha<- DATA_web$Time %>% range() %>% as.Date()
RDS_need<- seq(rango_fecha[1], rango_fecha[2], by="day") %>% str_replace_all("-","")
#DATA SPAÑA DISPONIBLE
All_files_Spain<- list.files(here::here('Data/Espana/'),
recursive = T,
full.names = T)
d01_files<- All_files_Spain[!str_detect(All_files_Spain, "/d02/")]
RDS_files<- d01_files[str_detect(d01_files, ".RDS")]
RDS_files1<- RDS_files[!str_detect(RDS_files, "/NA/")]
nombres<- sapply(str_split(RDS_files1, "/"), function(x) x[length(x)])
nombres1<- str_remove(nombres, "Espana_")
nombres2<- str_remove(nombres1,".RDS")
#RDS_necesarios para el historico
RDS_Spain<- RDS_files1[nombres2%in%RDS_need]
nombres2<- nombres2[nombres2%in%RDS_need]
path1<-here::here('Data/Parques/')
for (i in 1:length(RDS_Spain)) {
list_RDS<- readRDS(RDS_Spain[i])
#Lubian
Longitud_Parque=-6.0946934
Latitud_Parque=37.4891212
path_salteras<- paste0(path1,"Salteras/",nombres2[i],".RDS" )
if(!file.exists(path_salteras)){
salteras_list<- Cortar_datos(list_hoy = list_RDS,
Longitud_Parque = Longitud_Parque,
Latitud_Parque=Latitud_Parque)
saveRDS(salteras_list, file = path_salteras)
}else{
print(paste0("Hoy ya se ha guardado este archivo: ",path_salteras))}
}
RDS_salteras<- paste0(path1,"Salteras") %>% list.files(full.names = T) %>%
.[paste0(path1,"Salteras") %>% list.files()%in%(nombres2 %>% paste0(., ".RDS"))]
lista_WRF_Salteras<- list()
for (i in 1:length(RDS_salteras)) {
lista_WRF_Salteras[[i]]<- RDS_salteras[[i]] %>% readRDS
}
r<- lista_WRF_Salteras %>% lapply(function(x){
x2<- x %>% lapply(function(y){y[,1:13]}) %>% bind_rows(.id = "Date")
x2$Date<- ifelse(nchar(x2$Date)<12, paste(x2$Date,"00:00:00"), x2$Date) %>% ymd_hms
x2[,c("RAINSH","RAINNC","RAINC")]<- NULL
return(x2)
}) %>% bind_rows()
Lista_sindupli<- r %>% group_split(lon,lat) %>%
lapply(function(r2){
r3<- r2[r2$Date %>% duplicated(), ]
r3p<- r2[!r2$Date%in%r3$Date,]
r4<- bind_rows(r3, r3p) %>% .[order(.$Date),]
r5<- r4[!r4$Date %>% duplicated(),]
return(r5)
})
saveRDS(Lista_sindupli, here::here('Data/Parques/Salteras/Historico/HISTORICO_WRF.RDS'))
#Cojemos datos mas cercanos
Longitud_Parque<- -6.0946934
Latitud_Parque<- 37.4891212
Punto_mascercano<- Lista_sindupli %>% sapply(function(x){
vector_lon_lat<- c(x$lon %>% unique(),
x$lat %>% unique())
distm(vector_lon_lat,
c(Longitud_Parque,
Latitud_Parque))
}) %>% which.min()
WRF_vercano<- Lista_sindupli[[Punto_mascercano]]
u10<- WRF_vercano$U10_MEAN
v10<- WRF_vercano$V10_MEAN
wind_abs <- sqrt(u10^2 + v10^2)
wind_dir_rad <- atan2(u10/wind_abs, v10/wind_abs)
wind_dir_deg1 <- wind_dir_rad * 180/pi
wind_dir_deg2 <- wind_dir_deg1+ 180
WRF_vercano$Dir<- cut(wind_dir_deg2,
breaks = c(0,seq(11.5,360,22.5), 361),
labels = seq(0,360,22.5))%>%
as.character() %>% ifelse(.==360,0,. ) %>% as.numeric()
WRF_vercano$WS<- wind_abs
WRF_vercano$WSmax<- sqrt(WRF_vercano$U10_MAX^2 + WRF_vercano$V10_MAX^2)
WRF_sum<- WRF_vercano[,c("Date", "WS","WSmax", "Dir")]
WRF_sum<- WRF_sum[complete.cases(WRF_sum), ]
#TRATAMOS DATOS WEB
y<- DATA_web
DATA_web$Dir<- ifelse(y$Wind=="North",0,
ifelse(y$Wind=="NNE", 22.5,
ifelse(y$Wind=="NE", 45,
ifelse(y$Wind=="ENE", 67.5,
ifelse(y$Wind=="East", 90,
ifelse(y$Wind=="ESE", 112.5,
ifelse(y$Wind=="SE", 135,
ifelse(y$Wind=="SSE", 157,
ifelse(y$Wind=="South",180,
ifelse(y$Wind=="SSW", 202.5,
ifelse(y$Wind=="SW", 225.0,
ifelse(y$Wind=="WSW", 247.5,
ifelse(y$Wind=="West", 270,
ifelse(y$Wind=="WNW", 292.5,
ifelse(y$Wind=="NW", 315,
ifelse(y$Wind=="NNW", 337.5,NA))))))))))))))))
DATA_web2<- DATA_web[,c("Time", "Speed","Gust", "Dir")]
colnames(DATA_web2)<- c("Date", "WS","WSmax", "Dir")
date_vec<- DATA_web2$Date %>% range() %>% round_date("hour")
date_vec<- seq(date_Vec[1], date_Vec[2], by="hour")
x<- vector()
for (i in 1:length(date_vec)){
x[i]<- ifelse((date_vec[i]-DATA_web2$Date)%>% abs() %>% .[which.min(.)] < ms("6:00"),
((date_vec[i]-DATA_web2$Date)%>% abs()) %>% which.min(.), NA)
}
DATA_web3<- DATA_web2[x, ]
DATA_web3$Date<- DATA_web3$Date %>% round_date("hour")
DATA_web3<- DATA_web3[complete.cases(DATA_web3),]
# JUNTAMOS DATOS WRF Y WEB ------------------------------------------------
DATOS_JUNTOS<- left_join(DATA_web3,WRF_sum, by="Date")
colnames(DATOS_JUNTOS)<- c("Date", "WS_obs", "WSmax_obs","Dir_obs",
"WS_wrf", "WSmax_wrf","Dir_wrf")
saveRDS(DATOS_JUNTOS, here::here('Data/Parques/Salteras/Historico/WRF_WEB_DIC_MAYO.RDS'))