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# -----------------------------------------------------
# Loading tas and tos for EC-Earth decadal simulations:
# Authors: Carlos Delgado and Núria Pérez-Zanón
# ------------------------------------------------------
# Three ways to load the same data are provided:
# 1) single Start call providing two paths and two variable names
# 2) single Start call providing one path and two variabe names
# 3) two Start call one for each path and variable
# Case 1) returns dimensions 'dataset' and 'var' with length 2 , but only the positions of the diagonal are filled:
# tas is stored in {dataset = 1, var = 1}
# tos is stored in {dataset = 2, var = 2}
# NOTE!!! check {datastet = 1, var = 2} because an issue in ESMValTool:https://earth.bsc.es/gitlab/es/auto-ecearth3/issues/1258
library(startR)
paths = list(list(path = '/esarchive/exp/ecearth/a1ua/cmorfiles/DCPP/EC-Earth-Consortium/EC-Earth3/dcppA-hindcast/$member$/Amon/$var$/gr/v20190713/$var$_Amon_EC-Earth3_dcppA-hindcast_s$sdate$-$member$_gr_$fyear$.nc'),
list(path = '/esarchive/exp/ecearth/a1ua/cmorfiles/DCPP/EC-Earth-Consortium/EC-Earth3/dcppA-hindcast/$member$/Omon/$var$/gr/v20190713/$var$_Omon_EC-Earth3_dcppA-hindcast_s$sdate$-$member$_gr_$fyear$.nc'))
data1 <- Start(dataset = paths,
var = c('tas','tos'),
sdate = paste0(1960:1962),
fmonth = 1,
lat = values(list(0, 10)),
lon = values(list(0, 10)),
fyear = 'all',
member = indices(1),
fyear_depends = 'sdate',
fmonth_across = 'fyear',
merge_across_dims = TRUE,
synonims = list(fmonth = c('fmonth','time'),
lon = c('lon', 'longitude'),
lat = c('lat', 'latitude')),
return_vars = list(lat = 'dataset', lon = 'dataset'),
num_procs = 1, retrieve = TRUE)
dim(data1)
#dataset var sdate fmonth lat lon member
# 2 2 3 12 14 15 1
# Check empty and filled dimensions:
sum(is.na(data1[1,1,,,,,])) == (3*12*14*15)
#[1] FALSE
sum(is.na(data1[1,2,,,,,])) == (3*12*14*15)
#[1] TRUE
sum(is.na(data1[2,2,,,,,])) == (3*12*14*15)
#[1] FALSE
sum(is.na(data1[2,1,,,,,])) == (3*12*14*15)
#[1] TRUE
lat1 <- as.vector(attributes(data1)$Variables$dat1$lat)
lon1 <- as.vector(attributes(data1)$Variables$dat1$lon)
# ---------------------------------------------------------------
# Case 2) using a single path, {dataset = 1, var = 2, type = 1}
# 'type' dimension is necessary to distinguish between 'Amon' and 'Omon'.
library(startR)
path = '/esarchive/exp/ecearth/a1ua/cmorfiles/DCPP/EC-Earth-Consortium/EC-Earth3/dcppA-hindcast/$member$/$type$/$var$/gr/v20190713/$var$_$type$_EC-Earth3_dcppA-hindcast_s$sdate$-$member$_gr_$fyear$.nc'
data2 <- Start(dataset = path,
var = c('tas', 'tos'),
type = 'all',
type_depends = 'var',
sdate = paste0(1960:1962),
fmonth = 1,
lat = values(list(0, 10)),
lon = values(list(0, 10)),
fyear = indices(1),
member = indices(1),
fyear_depends = 'sdate',
fmonth_across = 'fyear',
merge_across_dims = TRUE,
synonims = list(fmonth = c('fmonth','time'),
lon = c('lon', 'longitude'),
lat = c('lat', 'latitude')),
return_vars = list(lat = 'dataset', lon = 'dataset'),
num_procs = 1, retrieve = TRUE)
dim(data2)
# dataset var type sdate fmonth lat lon member
# 1 2 1 3 1 14 15 1
# ---------------------------------------------------------------
# Case 3) Two different Start calls can save data_tas and data_tos both with {dataset = 1 and var = 1} dimensions and avoiding extra dimensions like 'type'.
path = '/esarchive/exp/ecearth/a1ua/cmorfiles/DCPP/EC-Earth-Consortium/EC-Earth3/dcppA-hindcast/$member$/Amon/$var$/gr/v20190713/$var$_Amon_EC-Earth3_dcppA-hindcast_s$sdate$-$member$_gr_$fyear$.nc'
data_tas <- Start(dataset = path,
var = 'tas',
sdate = paste0(1960:1962),
fmonth = 1,
lat = values(list(0, 10)),
lon = values(list(0, 10)),
fyear = indices(1),
member = indices(1),
fyear_depends = 'sdate',
fmonth_across = 'fyear',
merge_across_dims = TRUE,
synonims = list(fmonth = c('fmonth','time'),
lon = c('lon', 'longitude'),
lat = c('lat', 'latitude')),
return_vars = list(lat = 'dataset', lon = 'dataset'),
num_procs = 1, retrieve = TRUE)
dim(data_tas)
#dataset var sdate fmonth lat lon member
# 1 1 3 1 14 15 1
path = '/esarchive/exp/ecearth/a1ua/cmorfiles/DCPP/EC-Earth-Consortium/EC-Earth3/dcppA-hindcast/$member$/Omon/$var$/gr/v20190713/$var$_Omon_EC-Earth3_dcppA-hindcast_s$sdate$-$member$_gr_$fyear$.nc'
data_tos <- Start(dataset = path,
var = 'tos',
sdate = paste0(1960:1962),
fmonth = 1,
lat = values(list(0, 10)),
lon = values(list(0, 10)),
fyear = indices(1),
member = indices(1),
fyear_depends = 'sdate',
fmonth_across = 'fyear',
merge_across_dims = TRUE,
synonims = list(fmonth = c('fmonth','time'),
lon = c('lon', 'longitude'),
lat = c('lat', 'latitude')),
return_vars = list(lat = 'dataset', lon = 'dataset'),
num_procs = 1, retrieve = TRUE)
dim(data_tos)
#dataset var sdate fmonth lat lon member
# 1 1 3 1 14 15 1
# ---------------------------------------------------------------------
# Comparison cases 1) to 3):
#----------------------------------------------------------------------
all(data1[1, 1, , , , , ] == data_tas[1, 1, , , , , ])
all((data1[2, 2, , , , , ]) == data_tos[1, 1, , , , , ], na.rm = TRUE)
all(data2[1, 1, 1, , , , , ] == data_tas[1, 1, , , , ,])
all((data2[1, 2, 1, , , , , ]) == data_tos[1, 1, , , , , ], na.rm = TRUE)