Climatological Water Balance and Calibration of the Nasa Power System for the Southern Region of the Triângulo Mineiro, Brazil
DOI:
https://doi.org/10.21664/2238-8869.2024v13i4.p75-87Keywords:
remote data, water deficiency, water surplus, Thornthwaite and MatherAbstract
The climatological water balance (BHC) is one of several forms of monitoring water storage in the soil, from which water inputs and outputs are determined over a period, using data from several years of temperature, evapotranspiration, and precipitation. In regions without availability of climate data, the database provided by the National Aeronautics and Space Administration/Prediction of Worldwide Energy Resources (NASA/POWER) is a potential source for agrometeorological studies. This study aims to evaluate the water surplus and deficit in the southern region of the Triângulo Mineiro and evaluate the estimates produced by the NASA Power reanalysis. Daily climate data for Frutal and Conceição das Alagoas-MG were used. The BHC were calculated for each city with data obtained by surface meteorological stations and the NASA Power platform for the same period and locations. And finally, the deficit and excess values of water in the soil obtained by BHC by the stations and estimated by NASA Power were compared. The southern region of the Triângulo Mineiro experiences a dry period between the months of April and September, with an average annual total water deficiency (DEF) of 195.1 mm. The water surplus (EXC) averaged 347.8 mm/year, with the months of December and January being marked as a period of water replacement in the soil. For both DEF and EXC, positive correlations were found between the values observed by the station and estimated by NASA Power, with correlation and confidence values greater than 0.90. The accuracy of the models was high with R2 greater than 80.0% and absolute errors fewer than 6.0 mm. Based on these findings, precipitation and evapotranspiration remotely detected by NASA Power showed good potential for use in detecting dry and rainy periods, making it possible to support decision-making at relevant scales.
References
Alves LM, Marengo JA, Camargo Júnior H, Castro C. 2005. Início da estação chuvosa na região Sudeste do Brasil: Parte 1 – Estudos observacionais. Revista Brasileira de Meteorologia 20(3):385-394.
Aparecido LEO, Rolim GS, Moraes RSCD., Torsoni GB, Meneses KCD, Costa CTS. 2020. Acurácia da reanálise ERA-Interim do ECMWF e sua aplicação na estimativa da deficiência hídrica no estado do Paraná, Brasil. Revista Brasileira de Meteorologia 34:515-528.
Camargo, AD, Sentelhas PC. 1997. Avaliação do desempenho de diferentes métodos de estimativa da evapotranspiração potencial no Estado de São Paulo, Brasil. Revista Brasileira de Agrometeorologia 5(1):89-97.
Castro, FDS, Pezzopane JE, Cecílio RA, Pezzopane JR, Xavier AC. 2010. Avaliação do desempenho dos diferentes métodos de interpoladores para parâmetros do balanço hídrico climatológico. Revista Brasileira de Engenharia Agrícola e Ambiental 14(8):871-880.
Cordeiro ALM, Silva FS, Silva AM, Costa CEAS, Santana LR. 2023. Variabilidade espaço-temporal da precipitação pluviométrica na região hidrográfica da Calha Norte, Estado Do Pará, Brasil. Fronteiras: Journal of Social, Technological and Environmental Science 12(2):159-7/10.
Duarte YC, Sentelhas PC. 2020. NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?. International Journal of Biometeorology 64:319-329.
Fischer Filho JA, Zocoler JL. 2016. Estimativa do coeficiente de cultura (kc) do feijoeiro em Ilha Solteira, SP. Revista Engenharia na Agricultura 24(3), 229-235.
Giovanella TH, Oliveira FCD, Marchi VADA, Tluszcz J. 2021. Desempenho de métodos de preenchimento de falhas em dados de evapotranspiração de referência para região oeste do paraná. Revista Brasileira de Meteorologia 36:415-422.
Goulart MA, Sanches L, Vilani MT, Pinto Júnior OB. 2015. Análise da evapotranspiração por wavelet de Morlet em área de Vochysia divergens Pohl no Pantanal. Revista Brasileira de Engenharia Agrícola e Ambiental 19(2):93-98.
Hopkins WG. Correlation coefficient. 2000. [Disponível em 10 Dez. 2000; acesso em 20 mar. 2023]. Disponível em: http://www.sportsci.org/resource/stats/correl.html.
Horikoshi AS, Fisch G. 2007. Balanço hídrico atual e simulações para cenários climáticos futuros no Município de Taubaté, SP, Brasil. Ambiente & Água 2(2):33-46.
Kheyruri Y, Nikaein E, Sharafati A. 2023. Spatial monitoring of meteorological drought characteristics based on the NASA POWER precipitation product over various regions of Iran. Environmental Science and Pollution Research 30(15):43619-43640.
Lima FB. 2009. Balanço hídrico-espacial da cultura para o uso e ocupação atual da bacia hidrográfica do Ribeirão Santa Rita, Noroeste do Estado de São Paulo. 2009. 89 f. Monografia, Fundação Educacional de Fernandópolis, Fernandópolis, 89 pp.
Maldonado Júnior W, Valeriano TTB, Rolim GS. 2019. EVAPO: A smartphone application to estimate potential evapotranspiration using cloud gridded meteorological data from NASA-POWER system. Computers and Electronics in Agriculture 156:187-192.
Medeiros RM, Silva JAS, Oliveira Silva A, Matos RM, Balbino DP. 2013. Balanço hídrico climatológico e classificação climática para a área produtora da banana do município de Barbalha, CE. Revista Brasileira De Agricultura Irrigada 7(4):258-268.
Miró JJ, Caselles V, Estrela MJ 2017. Multiple imputation of rainfall missing data in the Iberian Mediterranean context. Atmospheric research 197:313-330.
Monteiro LA, Sentelhas PC, Pedra GU. 2018. Assessment of NASA/POWER satellite‐based weather system for Brazilian conditions and its impact on sugarcane yield simulation. International Journal of Climatology 38(3):1571-1581.
Moraes RA, Rocha JV, Rolim GDS, Lamparelli RAC, Martins MM. 2012. Evaluation of 10-day period precipitation, maximum and minimum air temperature data from the ECMWF model in São Paulo state. Brazilian Journal of Irrigation and Drainage 17(3), 397-407.
Moreira A, Fontana DC, Kuplich TM, Cardoso MA. 2017. Dados meteorológicos estimados em condições de clima subtropical e a relação com índices de vegetação. Revista Brasileira de Cartografia 69(6):1075-1091.
Oliveira JÂM. 2019. Balanço hídrico climatológico e classificação climática de Thornthwaite e Mather para o município de Conceição do Mato Dentro–MG. Revista Brasileira de Agricultura Irrigada 13(1): 3203-3211.
Oliveira, J. Â. M., & de Oliveira, C. M. M. (2018). Balanço hídrico climatológico e classificação climática para o município de Arinos–MG. Revista Brasileira de Agricultura Irrigada 12(6), 3021-3027.
Parreira AGB, Marasca I, Silva Solino AJ, Santos GO. 2019. Balanço hídrico climatológico para o município de Rio Verde, Goiás. Cientific@-Multidisciplinary Journal 6(1):26-33.
Pereira AR, Angelocci LR, Sentelhas PC. 2002. Agrometeorologia: fundamentos e aplicações práticas. Editoria Agropecuária, Guaíba, 478 p.
Rodrigues GC, Braga RP. 2021. Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer mediterranean climate. Agronomy 11(10):2077.
Rosa GB, Silva Fuzzo DF, Fischer Filho JA. 2023a. Modelos de estimativa da evapotranspiração de referência para a região sul do Triângulo Mineiro, Brasil. Revista Brasileira de Climatologia 33:81-97.
Rosa SLK, Souza JLMD, Santos AAD. 2023b. Data from NASA Power and surface weather stations under different climates on reference evapotranspiration estimation. Pesquisa Agropecuária Brasileira 58:e03261.
Sobrinho OPL, Santos LNS, Santos GO, Cunha FN, Soares FAL, Teixeira MB. 2020. Balanço hídrico climatológico mensal e classificação climática de Köppen e Thornthwaite para o município de Rio Verde, Goiás. Revista Brasileira de Climatologia 27:19-33.
Souza AP, Mota LL, Zamadei T, Martin CC, Almeida FT, Paulino, J. 2013. Classificação climática e balanço hídrico climatológico no estado de Mato Grosso. Nativa, 1(1), 34-43.
Stackhouse PW, Westberg D, Hoell JM, Chandler WS, Zhang T. 2015. Prediction of Worldwide Energy Resource (POWER): Agroclimatology Methodology (1.0° Latitude by 1.0° Longitude Spatial Resolution), v 1.0.2, NASA, Washington.
Thornthwaite CW, Mather JR. 1955. The water balance. Publications in Climatology 8(1):104.
White JW, Hoogenboom G, Wilkens PW, Stackhouse Júnior PW, Hoel J M. 2011. Evaluation of satellite‐based, modeled‐derived daily solar radiation data for the continental United States. Agronomy Journal 103(4):1242-1251.
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