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Are remote sensing evapotranspiration models reliable across South American climates and ecosystems?
  • +31
  • Davi de Carvalho Diniz Melo,
  • Jamil A.A. Anache,
  • Edson Wendland,
  • Valéria Peixoto Borges,
  • Diego G. Miralles,
  • Brecht Martens,
  • Joshua Fisher,
  • Rodolfo L. B. Nobrega,
  • Alvaro Moreno,
  • Osvaldo M R Cabral,
  • Thiago Rangel Rodrigues,
  • Bergson Bezerra,
  • Cláudio Moisés Santos e Silva,
  • Antonio Alves Meira Neto,
  • Magna S. B. Moura,
  • Thiago Valentim Marques,
  • Suany Campos,
  • José de Souza Nogueira,
  • Rafael Rosolem,
  • Rodolfo Souza,
  • Antonio C. D. Antonino,
  • David Holl,
  • Mauricio Galleguillos,
  • Jorge F. Perez-Quezada,
  • Anne Verhoef,
  • Lars Kutzbach,
  • José Romualdo de Sousa Lima,
  • Eduardo Soares de Souza,
  • María I. Gassman,
  • Claudio F Pérez,
  • Natalia Tonti,
  • Gabriela Posse,
  • Dominik Rains,
  • Paulo Tarso Sanches Oliveira
Davi de Carvalho Diniz Melo
Federal University of Paraíba

Corresponding Author:[email protected]

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Jamil A.A. Anache
Federal University of Mato Groso do Sul
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Edson Wendland
University of São Paulo
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Valéria Peixoto Borges
Federal University of Paraíba
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Diego G. Miralles
Ghent University
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Brecht Martens
Ghent University
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Joshua Fisher
Jet Propulsion Lab
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Rodolfo L. B. Nobrega
Imperial College London
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Alvaro Moreno
Unknown
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Osvaldo M R Cabral
Embrapa Meio Ambiente
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Thiago Rangel Rodrigues
Federal University of Mato Grosso do Sul
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Bergson Bezerra
Federal University of Rio Grande do Norte
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Cláudio Moisés Santos e Silva
Universidade Federal do Rio Grande do Norte
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Antonio Alves Meira Neto
Federal University of Espirito Santo
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Magna S. B. Moura
Brazilian Agricultural Research Corporation (Embrapa Tropical Semi-Arid)
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Thiago Valentim Marques
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
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Suany Campos
Federal University of Rio Grande do Norte
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José de Souza Nogueira
Federal University of Mato Grosso
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Rafael Rosolem
University of Bristol
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Rodolfo Souza
Universidade de Sao Paulo
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Antonio C. D. Antonino
Federal University of Pernambuco
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David Holl
Institute of Soil Science, Center for Earth System Research and Sustainability (CEN), Universit ̈at Hamburg
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Mauricio Galleguillos
Universidad de Chile
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Jorge F. Perez-Quezada
University of Chile
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Anne Verhoef
University of Reading
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Lars Kutzbach
University of Hamburg
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José Romualdo de Sousa Lima
Federal University of the Agreste of Pernambuco
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Eduardo Soares de Souza
Federal Rural University of Pernambuco
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María I. Gassman
University of Buenos Aires
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Claudio F Pérez
University of Buenos Aires
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Natalia Tonti
University of Buenos Aires
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Gabriela Posse
INTA
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Dominik Rains
Ghent University
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Paulo Tarso Sanches Oliveira
Federal University of Mato Grosso do Sul
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Abstract

Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four remote sensing based ET models: Priestley & Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman-Monteith Mu model (PM-MOD), and Penman-Monteith Nagler model (PM-VI). ET was predicted satisfactorily by all four models, with correlations consistently higher (R²>0.6) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of PBIAS (-10
Nov 2021Published in Water Resources Research volume 57 issue 11. 10.1029/2020WR028752