An Integrated Modeling Framework to Estimate Time Series of Evapotranspiration on a Regional Scale Using MODIS Data and a Two-Source Energy Balance Model
Bozorgi, Mahsa (Universitat Autònoma de Barcelona. Departament de Geografia)
Cristóbal, Jordi (Universitat Autònoma de Barcelona. Departament de Geografia)

Date:	2023
Description:	6 pàg.
Abstract:	Satellite remote sensing has become an important tool for monitoring and evaluating the impacts of drought. In this study, a modeling framework aimed at estimating the time series of evapotranspiration (ET), a key variable for drought monitoring, at a regional scale is presented. A two-source energy balance (TSEB) model was used concurrently with Terra/Aqua MODIS data and the ERA5 atmospheric reanalysis dataset. The modeling framework is based on the SEN-ET scheme to calculate the surface energy balance of the soil-canopy-atmosphere continuum and estimate ET at 1 km spatial resolution. The model was applied for the whole Iberian Peninsula, and it was evaluated with a pistachio orchard flux tower data in Lleida (NE Iberian Peninsula). Preliminary daily ET evaluation results for the Terra dataset showed an RMSE, MBE, and R2 of around 1. 43 W·m-2, -1. 27 W·m-2, and 0. 56, respectively, and for the Aqua dataset were 1. 05 W·m-2, -0. 84 W·m-2 and 0. 48, respectively within 100 days in 2022. Ongoing evaluation is being carried out on two forested watersheds as well as mountain meadows and semi-arid vegetation flux towers.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Remote sensing ; Drought ; Evapotranspiration ; Two-source energy balance ; Water resource management ; MODIS
Published in:	Environmental Sciences Proceedings, Vol 29 num 1 (2024), art 5, ISSN 2673-4931

DOI: 10.3390/ECRS2023-15845

6 p, 3.1 MB

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