Interpolating climate variables by using INLA and the SPDE approach (Last Update: February 28 2024)

This repository contains code and resources that can be used to reproduce the results presented in the paper: "Interpolating climate variables by using INLA and the SPDE approach".

R code

The code filename is: model_review_february2024.R. The code is fully commented in order to make it as clear as possible. The code has been updated in February 2024.

• The original code relied on the R "raster" and "sp" libraries.
• Tne new code uses the R "terra" and "sf" libraries.
• The new code uses the "fmesher" package for the mesh definition.
• The covariates are stored as raster "tif" files (instead of SpatialPixelsDataFrame objects).

The script illustrates how:

• to define the model by using the R "inlabru" package
• to predict using the "predict" function from "inlabru"
• to create tif output files and draw some maps.

In some parts, the R script is not very elegant but (we hope) it should be useful.

Input data

Climatological values from in-situ stations

The datasets provided here (dati_tmax_6.RDS, dati_tmax_7.RDS, dati_tmax_8.RDS) contain the maximum temperature (tmax) monthly series for the summer season (June, July and August). The stations' metadata are available in text format (fixed_anagrafica.tmax.csv).

Covariates

The covariates are encoded as ".tif" raster files:

• std_costa.tif: linear distance from the coast
• std_dem.tif: digital elevation model
• std_latitudine.tif: latitude raster

Note: the covariates are standardized ("std").

Other files

• template.tif: this raster file serves as a template which defines the study domain extent and the spatial resolution of the output maps
• config_july2023.yml: config file (some parameters for this script)
• analisi-covariate.Rmd: an RMarkdown document to document the main model outputs (this .Rmd script uses the "brinla" package)

Last but not least

The R script has been tested using:

• R version 4.3.2 (2023-10-31) -- "Eye Holes"
• INLA (24.2.9)
• inlabru (2.10.1)
• fmesher (0.1.5)
• terra (1.7.71)
• sf (1.0.15)

Authors ✍️

• Guido Fioravanti, European Commission's Joint Research Center guido.fioravanti@ec.europa.eu
• Sara Martino, Norwegian University of Science and Technology, Norway
• Michela Cameletti, Universita degli Studi di Bergamo, Italy
• Andrea Toreti, European Commission's Joint Research Center