# Assessment of ten evapotranspiration estimates using a water balance approach – application to Madagascar.

Rojin Alimohammad Nejad, Simon D. Carrière, Camille Ollivier, Ludovic

Oudin, Albert Olioso, Kristel Chanard

► To cite this version:

Rojin Alimohammad Nejad, Simon D. Carrière, Camille Ollivier, Ludovic Oudin, Albert Olioso, et al. Assessment of ten evapotranspiration estimates using a water balance approach – application to Madagascar. EGU General Assembly 2025, EGU, Apr 2025, Vienne (AUT), Austria. 10.5194/egusphere-egu25-17813. hal-05208046

HAL Id: hal-05208046

https://hal.inrae.fr/hal-05208046v1

Submitted on 19 Aug 2025

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# Assessment of ten evapotranspiration estimates using a water balance approach – application to Madagascar.

Rojin Alimohammad Nejad<fnref n="1" />, Simon D. Carrière<fnref n="2" />, Camille Ollivier<fnref n="1" />, Ludovic Oudin<fnref n="1" />, Albert Olioso<fnref n="3" />, and Kristel Chanard<fnref n="4" />

Evapotranspiration (ET) plays a crucial role in estimating groundwater recharge, which is critical to ensure water resource management, particularly in countries prone to difficult access to water such as Madagascar. This study estimates ten ET products derived from remote sensing (RS), land surface modeling (LSMs), and reanalysis methods. To evaluate the performance of these datasets, we use a water balance approach, comparing precipitation minus runoff (P-Q) at the catchment scale. This comparison covers nine catchments in Madagascar, focusing on humid and semi-humid regions over monthly to annual timescales from 2000 to 2014. We also take advantage of the GRACE-/FO satellite missions (2002–2023) to estimate large-scale variability in water storage. Analyses were performed at different spatial scales (basin level, bioclimatic zone level, and across the entire island) and various timescales (monthly, annual, and interannual). Results highlight significant differences in ET product performances. ERA5 (the fifth-generation ECMWF atmospheric reanalysis) and GLEAM (Global Land Evaporation Amsterdam Model) show the best performance overall. MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications, Version 2) and GLDAS-CLSM (Global Land Data Assimilation System with the Community Land Surface Model) exhibit significant errors and biases. Understanding these differences requires addressing the uncertainties in the input data and the physical methods employed by each ET product. These results allow us to better understand the impact of extreme weather events (e.g. droughts and cyclones) over water and vegetation dynamics spatialized across Madagascar.

<footnote n="1">¹Sorbonne Université, Université PSL, EPHE, CNRS, Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols, METIS, F-75005 Paris, France</footnote>

<footnote n="2">²Institut de Recherche pour le Développement (IRD), IRD, Montpellier, France</footnote>

<footnote n="3">³Unité de Recherche Ecologie des Forêts Méditerranéennes, INRAE, Avignon, France</footnote>

<footnote n="4">⁴Université Paris-Cité, Institut de physique du globe de Paris, CNRS, IGN, F-75005 Paris, France</footnote>