search for: t2m

...ated.xlsx" # Open the GRIB file > raster_data <- stack(grib_file_path) # Check the names of the layers to identify which ones to extract > layer_names <- names(raster_data) > print(layer_names) # Prints > # Extract layers based on layer names - adjust as necessary > t2m <- raster_data[[grep("t2m", layer_names)]] > d2m <- raster_data[[grep("d2m", layer_names)]] > tcc <- raster_data[[grep("tcc", layer_names)]] > valid_time <- raster_data[[grep("valid_time", layer_names)]] > t2m class : RasterStack...

...> raster_data <- stack(grib_file_path) > > # Check the names of the layers to identify which ones to extract > > layer_names <- names(raster_data) > > print(layer_names) # Prints > > > > # Extract layers based on layer names - adjust as necessary > > t2m <- raster_data[[grep("t2m", layer_names)]] > > d2m <- raster_data[[grep("d2m", layer_names)]] > > tcc <- raster_data[[grep("tcc", layer_names)]] > > valid_time <- raster_data[[grep("valid_time", layer_names)]] > > t2m >...

..._path) > > > > # Check the names of the layers to identify which ones to extract > > > layer_names <- names(raster_data) > > > print(layer_names) # Prints > > > > > > > # Extract layers based on layer names - adjust as necessary > > > t2m <- raster_data[[grep("t2m", layer_names)]] > > > d2m <- raster_data[[grep("d2m", layer_names)]] > > > tcc <- raster_data[[grep("tcc", layer_names)]] > > > valid_time <- raster_data[[grep("valid_time", layer_names)]] >...

...gt;>> # Check the names of the layers to identify which ones to extract >>>> layer_names <- names(raster_data) >>>> print(layer_names) # Prints >>> >>> >>>> # Extract layers based on layer names - adjust as necessary >>>> t2m <- raster_data[[grep("t2m", layer_names)]] >>>> d2m <- raster_data[[grep("d2m", layer_names)]] >>>> tcc <- raster_data[[grep("tcc", layer_names)]] >>>> valid_time <- raster_data[[grep("valid_time", layer_names)]...

...s of the layers to identify which ones to extract > >>>> layer_names <- names(raster_data) > >>>> print(layer_names) # Prints > >>> > >>> > >>>> # Extract layers based on layer names - adjust as necessary > >>>> t2m <- raster_data[[grep("t2m", layer_names)]] > >>>> d2m <- raster_data[[grep("d2m", layer_names)]] > >>>> tcc <- raster_data[[grep("tcc", layer_names)]] > >>>> valid_time <- raster_data[[grep("valid_time"...

...y which ones to extract >> >>>> layer_names <- names(raster_data) >> >>>> print(layer_names) # Prints >> >>> >> >>> >> >>>> # Extract layers based on layer names - adjust as necessary >> >>>> t2m <- raster_data[[grep("t2m", layer_names)]] >> >>>> d2m <- raster_data[[grep("d2m", layer_names)]] >> >>>> tcc <- raster_data[[grep("tcc", layer_names)]] >> >>>> valid_time <- raster_data[[grep("vali...

...ify which ones to extract >> >>>> layer_names <- names(raster_data) >> >>>> print(layer_names) # Prints >> >>> >> >>> >> >>>> # Extract layers based on layer names - adjust as necessary >> >>>> t2m <- raster_data[[grep("t2m", layer_names)]] >> >>>> d2m <- raster_data[[grep("d2m", layer_names)]] >> >>>> tcc <- raster_data[[grep("tcc", layer_names)]] >> >>>> valid_time <- raster_data[[grep("vali...

...>> >>>> layer_names <- names(raster_data) > >> >>>> print(layer_names) # Prints > >> >>> > >> >>> > >> >>>> # Extract layers based on layer names - adjust as necessary > >> >>>> t2m <- raster_data[[grep("t2m", layer_names)]] > >> >>>> d2m <- raster_data[[grep("d2m", layer_names)]] > >> >>>> tcc <- raster_data[[grep("tcc", layer_names)]] > >> >>>> valid_time <- raster_data[[...

Hi when I call the function below in R, i get the error: Object 'pairlist' can't be converted to 'double'. #include <R.h> #include <Rdefines.h> #include <Rmath.h> SEXP CSimPoisson(SEXP lambda, SEXP tgrid, SEXP T2M, SEXP Ni, SEXP NT) { double sign, EVar; double *xlambda, *xtgrid, *xT2M, *xNi, *xNT, *xtau; SEXP tau; int ltgrid =0; int i = 0; int j = 0; sign = 0; EVar = 0; ltgrid = LENGTH(tgrid); PROTECT(lambda = AS_NUMERIC(lambda)); PROTECT(tgrid = AS_NUMERIC(tgrid)); PROTECT(T2M = AS_NUMERIC(T2...

dear I was lokking for a solution or an example on the internet for quite a time but since haven?t found an answer yet, I'd like to ask a maybe to simple question: I have a large ncdf-file with five dimension. temperature (t2m), the variable against, lat, lon and time. (height is included as well) the structure is [1] "file C:/RDaten/t2m.ETH.HC_A2.nc has 5 dimensions:" [1] "height Size: 1" [1] "rlat Size: 75" [1] "rlon Size: 65" [1] "time Size: 11160" [1] "...

Hi I want to write a C function for the R Code below and call it with .Call: SimPoisson <- function(lambda,tgrid,T2M) #Simulation eines Poissonprozesses { NT <- 0 Ni <- rep(0,length(tgrid)) tau <- 0 sign <- 0 if(lambda != 0) { i=1 j=1 while (1) { EVar <- rexp(1,lambda) sign <- sign + EVar if (sign > T2M) { break } tau[i] <- sign i = i+1 for (j...

As you can see: time is from 1 to 1460, 1 means they the measure Tem for the globe at the first 6 hours , 2=after 12 hours .....; and so on 1460 *6 = 8760 hours which equals 1 year first of all I want to convert all data from kelvin to degree second I want to convert from 6 hourly to daily and make it like this raw data what i want to make time