Modelagem Simplificada Para Estimativa do Balanço de Energia à Superfície em Escala Regional (R-SSEB)

Abstract

ResumoEste estudo apresenta uma metodologia simplificada e ajustada a partir de algoritmos existentes a dados de sensores orbitais disponíveis para a região Nordeste do Brasil (NEB) com o intuito de operacionalizar a determinação espacial da evapotranspiração (ET) apenas com dados de sensoriamento remoto, utilizando dados MODIS/Terra do período de 2002 a 2011. Os resultados obtidos para diversos alvos espalhados pelo NEB foram comparados a dados CLM (Common Land Model) e MOD16. Obteve-se erro médio percentual (EMP) e erro médio absoluto (EMA) da ordem de 23,6% e 181 mm.ano -1 , respectivamente, nos valores de ET quando comparados a dados CLM. Avaliou-se a ET obtida pelo algoritmo proposto, com dados de ET do produto MOD16, o que resultou em valores de EMP e EMA de 38,6% e 288 mm.ano , respectively, when compared to CLM data. It was evaluated the ET obtained by the proposed algorithm with MOD16 ET data, resulting in EMP and EMA of 38,6% and 288 mm.year -1 , respectively. The average annual data from ET ranged 482-1105 mm.year -1 relating to areas of Caatinga and tropical rainforest, respectively. The results presented are consistent with the literature and showed that the proposed methodology enables operationalize the computation of ET throughout the Northeast, despite the large topographic heterogeneity and climate of the region.

Net Radiation in the Semiarid Region of the States of Paraíba and Rio Grande do Norte Using the MODIS Sensor

“…The term was estimated according to the method used by Araújo et al (2017). The proposal is that the surface temperature T S of each pixel of the image can be used in place of T a , suggesting that varies proportionally to T S .…”

“…In this context, the assessment of the accuracy of Rn data under clear sky obtained from remote sensing products is necessary, as it has been done in different studies such as those developed by Santos et al (2013), Santos et al (2015), Mira et al (2016), Araújo et al (2017), Araújo et al (2018), Santos et al (2017), andSantos et al (2020). For that, estimates using remote sensing data were compared with surface Rn measures in experimental areas.…”

Parâmetros biofísicos e índices de extremos de temperatura do ar na transição Cerrado-Amazônia

“…As estimativas de albedo, saldo de radiação, fluxo de calor sensível e fluxo de calor latente foram obtidas como parte do Algoritmo R-SSEB (Simplified Modeling for Energy Balance Estimation to the Regional Scale Surface) proposto por Araújo et al (2017). O albedo da superfície foi calculado de acordo com a Equação 1, proposta por Tasumi et al (2008).…”

Productivity and water demand of maize estimated by the modified satellite Priestley-Taylor algorithm

“…There are numerous algorithms based on satellite images to estimate this parameter, both physical and empirical (ZHANG et al, 2016). Some of the well-known algorithms are: SEBAL -Surface Energy Balance Algorithm for Land (BASTIAANSSEN et al, 1998); METRIC -Mapping EvapoTranspiration at high Resolution with Internalized Calibration (ALLEN et al, 2007); R-SSEB -Regional Simplified Surface Energy Balance (ARAÚJO et al, 2017); two-layer models (KUSTAS et al, 1996); SAFER -Simple Algorithm for Evapotranspiration Retrieving (TEIXEIRA, 2010); SSEBOP -Simplified Surface Energy Balance (SENAY et al, 2016); and MS-PT -Modified Satellite Priestley-Taylor (YAO et al, 2013;ZHANG et al, 2017a).…”