re Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions

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Melo, D. C. D. ^[1] ; Anache, J. A. A. ^[2] ; Borges, V. P. ^[1] ; Miralles, D. G. ^[3] ; Martens, B. ^[3] ; Fisher, J. B. ^[4] ; Nobrega, R. L. B. ^[5] ; Moreno, A. ^[6] ; Cabral, O. M. R. ^[7] ; Rodrigues, T. R. ^[2] ; Bezerra, B. ^{[8, 9]} ; Silva, C. M. S. ^{[8, 9]} ; Meira Neto, A. A. ^[10] ; Moura, M. S. B. ^[11] ; Marques, V, T. ; Campos, S. ^[12] ; Nogueira, J. S. ^[13] ; Rosolem, R. ^[14] ; Souza, R. M. S. ^[15] ; Antonino, A. C. D. ^[16] ; Holl, D. ^[17] ; Galleguillos, M. ^[18] ; Perez-Quezada, J. F. ^{[19, 18]} ; Verhoef, A. ^[20] ; Kutzbach, L. ^[17] ; Lima, J. R. S. ^[21] ; Souza, E. S. ^[22] ; Gassman, I, M. ; Perez, C. F. ^{[23, 24]} ; Tonti, N. ^[23] ; Posse, G. ^[25] ; Rains, D. ^[3] ; Oliveira, P. T. S. ^[2] ; Wendland, E. ^[26]

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^[1] Fed Univ Paraiba Areia, Areia, PB - Brazil

^[2] Univ Fed Mato Grosso do Sul, Campo Grande, MS - Brazil

^[3] Univ Ghent, Hydroclimate Extreme Lab H CEL, Ghent - Belgium

^[4] Chapman Univ, Schmid Coll Sci & Technol, Orange, CA - USA

^[5] Imperial Coll London, Dept Life Sci, Silwood Pk Campus, Ascot, Berks - England

^[6] Univ Montana, Numer Terradynam Simulat Grp, Missoula, MT 59812 - USA

^[7] Brazilian Agr Res Corp, Embrapa Meio Ambiente, Jaguariuna, SP - Brazil

^[8] Univ Fed Rio Grande do Norte, Dept Atmospher & Climate Sci, Natal, RN - Brazil

^[9] Univ Fed Rio Grande do Norte, Climate Sci Grad Program, Natal, RN - Brazil

^[10] Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ - USA

^[11] Brazilian Agr Res Corp, Embrapa Trop Semiarid, Petrolina, PE - Brazil

^[12] Marques, T., V, Univ Fed Rio Grande do Norte, Climate Sci Grad Program, Natal, RN - Brazil

^[13] Univ Fed Mato Grosso, Cuiaba, MT - Brazil

^[14] Univ Bristol, Bristol, Avon - England

^[15] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX - USA

^[16] Univ Fed Pernambuco, Dept Nucl Energy, Recife, PE - Brazil

^[17] Univ Hamburg, Ctr Earth Syst Res & Sustainabil CEN, Hamburg - Germany

^[18] Univ Chile, Dept Environm Sci & Renewable Nat Resources, Santiago - Chile

^[19] Inst Ecol & Biodivers, Santiago - Chile

^[20] Univ Reading, Dept Geog & Ervironm Sci, Reading, Berks - England

^[21] Fed Univ Agreste Pernambuco, Garanhuns, PE - Brazil

^[22] Univ Fed Rural Pernambuco, Serra Talhada, PE - Brazil

^[23] Gassman, M., I, FCEN UBA, Dept Atmospher & Ocean Sci, Buenos Aires, DF - Argentina

^[24] Gassman, M., I, Consejo Nacl Invest Cient & Tecn, Natl Council Sci & Tech Res, Buenos Aires, DF - Argentina

^[25] Inst Nacl Tecnol Agr INTA, Inst Clima & Agua, Hurlingham - Argentina

^[26] Univ Sao Paulo, Dept Hydraul & Sanit Engn, Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: WATER RESOURCES RESEARCH; v. 57, n. 11 NOV 2021.
• Citações Web of Science: 0

Resumo

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 RSBET 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 percent bias (-10<PBIAS<10%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America. (AU)

• Processo FAPESP: 15/03806-1 - Disponibilidade hídrica e riscos de contaminação em áreas de afloramento do Sistema Aquífero Guarani
• Beneficiário: Edson Cezar Wendland
• Modalidade de apoio: Auxílio à Pesquisa - Programa BIOEN - Temático
• Processo FAPESP: 16/23546-7 - Disponibilidade hídrica em eventos extremos: secas na região da Bacia do Rio Paraná
• Beneficiário: Davi de Carvalho Diniz Melo
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado