Intercomparison and uncertainty assessment of methods for estimating evapotranspiration using a high-resolution gridded weather dataset over Brazil-Reference-Cited by-同舟云学术

Intercomparison and uncertainty assessment of methods for estimating evapotranspiration using a high-resolution gridded weather dataset over Brazil

Published:2021-08-22 Issue:1-2 Volume:146 Page:583-597
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Monteiro Ana Flávia Martins^ORCID,Martins Fabrina Bolzan^ORCID,Torres Roger Rodrigues^ORCID,de Almeida Vitor Hugo Marrafon^ORCID,Abreu Marcel Carvalho^ORCID,Mattos Enrique Vieira^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00704-021-03747-1.pdf

Reference56 articles.

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2. Alencar LP, Sediyama GC, Mantovani EV (2015) Estimation of reference evapotranspiration (ETo) under FAO standards with missing climatic data in Minas Gerais, Brazil. Eng Agríc 35:39–50. https://doi.org/10.1590/1809-4430-Eng.Agric.v35n1p39-50/2015

3. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements (FAO - Irrigation and Drainage paper, 56). FAO, Rome

4. Almorox J, Quej VH, Martí P (2015) Global performance ranking of temperature-based approaches for evapotranspiration estimation considering Köppen climate classes. J Hydrol 528:514–522. https://doi.org/10.1016/j.jhydrol.2015.06.057

5. Alvares CA, Stape JL, Sentelhas PC, Gonçalves JLM, Sparovek G (2013) Köppen’s climate classification map for Brazil. Meteorol Zeitschrift 22:711–728. https://doi.org/10.1127/0941-2948/2013/0507

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