@Article{UlianaAiSoSiMoCrAr:2024:EsEvLa,
               author = "Uliana, Eduardo Morgan and Aires, Uilson Ricardo Ven{\^a}ncio and 
                         Sousa J{\'u}nior, Marionei Fomaca de and Silva, Demetrius David 
                         da and Moreira, Michel Castro and Cruz, Ibraim Fantin da and 
                         Ara{\'u}jo, Handrey Borges",
          affiliation = "{Universidade Federal de Mato Grosso (UFMT)} and {Mississippi 
                         State University} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {} and {Universidade Federal de Vi{\c{c}}osa (UFV)} 
                         and {Universidade Federal de Mato Grosso (UFMT)} and {Universidade 
                         Federal de Mato Grosso (UFMT)}",
                title = "Estimated evaporation of lakes by climate reanalysis data and 
                         artificial neural networks",
              journal = "Journal of South American Earth Sciences",
                 year = "2024",
               volume = "136",
                pages = "e104811",
                month = "Apr.",
             keywords = "Amazon, Artificial neural networks, ERA5, Pantanal, Penman 
                         method.",
             abstract = "Evaporation, together with precipitation, is the most important 
                         component of the hydrological cycle, and knowledge of the local 
                         values of lake evaporation has applications in reservoir design 
                         and management. The objective of this study was to estimate lake 
                         evaporation at locations without meteorological monitoring using 
                         ERA5 reanalysis data and artificial neural networks (ANNs). Data 
                         from 32 automatic stations in the state of Mato Grosso were used 
                         to estimate evaporation using the method of Penman (1948). The 
                         evaporation values were related to ERA5 data and radiation data at 
                         the top of the atmosphere using multilayer perceptron ANN models. 
                         The Mann-Kendall test was used for trend analysis in the estimated 
                         monthly evaporation series. From the analysis of the results, it 
                         is concluded that it is possible to quantify the spatial and 
                         temporal distribution of evaporation from lakes with data from 
                         ERA5 reanalysis and the use of ANNs. The historical evaporation 
                         series for the period 1980 to 2019 showed a positive trend in 
                         certain parts of the Brazilian Savanna and Amazon biomes. Isolated 
                         areas of the Pantanal biome also showed a positive trend for 
                         monthly evaporation. The proposed methodology allows for the 
                         precise and accurate estimation of evaporation from liquid 
                         surfaces at locations without meteorological monitoring.",
                  doi = "10.1016/j.jsames.2024.104811",
                  url = "http://dx.doi.org/10.1016/j.jsames.2024.104811",
                 issn = "0895-9811",
           targetfile = "1-s2.0-S0895981124000336-main.pdf",
        urlaccessdate = "11 maio 2024"
}