Simple app to convert RMI gridded observation to netcdf format.

Belgian RMI (Royal Meteorological Institute) provides open data related to weather forecasts, observations, and climatological data here. Gridded observations are provided in monthly csv file.

Nc file are very convenient, for example for processing with cdo software. This simple code convert csv file to nc format

Usage:

./irm2nc --in /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/climateGrid/climategrid_202408.csv --inputGrid /home/jo/app/irmGriddedObs2nc/in/grilleIRMGDL.nc --inputGridDef /home/jo/app/irmGriddedObs2nc/in/gridIRMGDL.txt --out=/home/jo/Documents/Scolyte/Data/climat_Sco/IRM/climateGrid/test.nc

script:

#!/bin/bash

for i in {1..9} do ./irm2nc --in /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/climateGrid/climategrid_20240$i.csv --inputGrid /home/jo/app/irmGriddedObs2nc/in/grilleIRMGDL.nc --inputGridDef /home/jo/app/irmGriddedObs2nc/in/gridIRMGDL.txt --out=/home/jo/Documents/Scolyte/Data/climat_Sco/IRM/climateGrid/20240$i.nc done

for i in {10..12} do ./irm2nc --in /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/climateGrid/climategrid_2024$i.csv --inputGrid /home/jo/app/irmGriddedObs2nc/in/grilleIRMGDL.nc --inputGridDef /home/jo/app/irmGriddedObs2nc/in/gridIRMGDL.txt --out=/home/jo/Documents/Scolyte/Data/climat_Sco/IRM/climateGrid/2024$i.nc done

cdo copy 2024*.nc IRM-2024.nc

Other specifi usage: export txt file of monthly climate for one XY position for usage in Walsi module (CAPSIS)

this tool (outil number 2 called by --outil 2) use as input a directory containing year-based file of monthly gridded-observation. Daily to montly observations may be computed with cdo with the following call (one call for each year):

cdo -b F64 merge -monsum -selname,RF,ETP /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/nc/IRM-griddedObservation/IRM-1960.nc -monmean -selname,TG /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/nc/IRM-griddedObservation/IRM-1960.nc /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/nc/IRM-griddedObservation/MAR-monthly/IRM-monthly-1960.nc

then time serie for one pixel is extracted and written in a txt file with this command. Toto and tata argument value aren't used, there are only there because the arguments "inputGrid" and "inputGridDef" are mandatory (for tool number 1)

./irm2nc --in /home/jo/Documents/Scolyte/Data/climat_Sco/IRM/nc/IRM-griddedObservation/MAR-monthly --inputGrid toto --inputGridDef tata --out=/home/jo/Documents/suiviTempMAB/data/capsis/irm2walsi.txt --outil 2 --X 50.418 --Y 5.037

Linux Installation

git clone https://github.com/JoLeBelge/rmiGriddedObs2nc

git submodule init

git submodule update

dependencies

sudo apt install libnetcdf-c++4 libnetcdf-cxx-legacy-dev cdo

ajouter gdal-lib, qmake, gcc -> en fait un cmake serait plus approprié.

compilation is then performed with qmake (from Qt creator e.g.)