A deep learning-based hybrid model of global terrestrial evaporation
Koppa, Akash (Ghent University)
Rains, Dominik (Ghent University)
Hulsman, Petra (Ghent University)
Poyatos, Rafael (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Miralles, Diego G. (Ghent University)
Universitat Autònoma de Barcelona

Date:	2022
Abstract:	Terrestrial evaporation (E) is a key climatic variable that is controlled by a plethora of environmental factors. The constraints that modulate the evaporation from plant leaves (or transpiration, Et) are particularly complex, yet are often assumed to interact linearly in global models due to our limited knowledge based on local studies. Here, we train deep learning algorithms using eddy covariance and sap flow data together with satellite observations, aiming to model transpiration stress (St), i. e. , the reduction of Et from its theoretical maximum. Then, we embed the new St formulation within a process-based model of E to yield a global hybrid E model. In this hybrid model, the St formulation is bidirectionally coupled to the host model at daily timescales. Comparisons against in situ data and satellite-based proxies demonstrate an enhanced ability to estimate St and E globally. The proposed framework may be extended to improve the estimation of E in Earth System Models and enhance our understanding of this crucial climatic variable.
Grants:	European Commission 869550 Agencia Estatal de Investigación RTI2018-095297-J-I00
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:	Hydrology ; Ecological modelling
Published in:	Nature communications, Vol. 13 (April 2022) , art. 1912, ISSN 2041-1723

DOI: 10.1038/s41467-022-29543-7
PMID: 35395845

11 p, 4.8 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Articles > Research articles
Articles > Published articles