ts_temp: Sample Of Experimental And Observational Climate Time Series...

In esviz: Plotting Functions for Climate Science and Services

Sample Of Experimental And Observational Climate Time Series Data

Description

This sample data contain gridded seasonal forecast and corresponding observational data from ECMWF-System 5 forecast system and ERA-5 reconstruction. Specifically, for the monthly mean 2-meter temperature ("tas") variable, the first 3 ensemble members, the first 5 forecast time steps from November initial month, year 2000 to 2005, spatial average of the Iberian Peninsula region (35N-45N, 10W-5E).

Details

The package "startR" is used to load the data from the data esarchive in the Earth Sciences Department of Barcelona Supercomputing Center (check map_temp). Caclulate the weighted area-mean by function ClimProjDiags::WeightedMean.

 # 1. Load data "map_temp" first and load libraries

 library(ClimProjDiags)

 map_temp <- esviz::map_temp
 attrs_exp <- attributes(map_temp$exp)[-1]
 attrs_obs <- attributes(map_temp$obs)[-1]

 # 2. Calculate weighted area mean

 lats <- attr(map_temp$exp, "Variables")$common$lat
 lons <- attr(map_temp$exp, "Variables")$common$lon

 ts_temp <- list()
 ts_temp$exp <- WeightedMean(map_temp$exp, lon = lons, lat = lats)
 ts_temp$obs <- WeightedMean(map_temp$obs, lon = lons, lat = lats)

 attributes(ts_temp$exp) <- c(attributes(ts_temp$exp), attrs_exp)
 attributes(ts_temp$obs) <- c(attributes(ts_temp$obs), attrs_obs)

esviz documentation built on Feb. 4, 2026, 5:13 p.m.