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24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

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AGADAPT - Adapting the water use by the agriculture sector

Assimilation module

The data assimilation procedure considered atmospheric forcings and soil properties as uncertain. The improved soil moisture profile was used to calculate the irrigation requirement for the citrus trees in the study area.

Data Assimilation System - DAS

A data assimilation system (DAS) was developed, in the programming languages Fortran and Python including MPI and OpenMP based high performance computing. The DAS integrates the Community Land Model (CLM) as the model operator. Each irrigation plot was discretized into 10,000 square meters grid cells and modeled in CLM. The assimilation time steps were 02:00, 06:00, 10:00, 16:00 and 22:00. 51 ensemble members of atmospheric forcing data provided by Meteo-France were used to represent the uncertainties contained in the forcing data. In addition, the sand and clay fractions and organic matter density were perturbed by a uniform distributed noise in the range of [-10.0%, 10.0%]. The sum of sand fraction and clay fraction was rechecked. If the sum of the sand and clay fractions was greater than 98%, then an amount equal to ((Sand%+Clay%) – 98%)/2 was subtracted from both the sand and the clay fraction. The Local Ensemble Transform Kalman Filter is the implemented data assimilation algorithm in the DAS. The DAS was in this specific study deployed on the supercomputing facilities of Forschungszentrum Julich (JUROPA). DAS uses the Network Common Data Form (NetCDF) as the main input and output file format. In this particular study, before the irrigation day, the DAS was run to assimilate measured soil moisture data from the four preceding days. The irrigation requirements were estimated twice per week and were delivered to the farmers by email.

description of the assimilation module (PDF version)

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