Estimativa da radiação solar global baseada na amplitude térmica para o Brasil

Ramos, João Paulo Augusto; Vianna, Murilo dos Santos; Marin, Fábio Ricardo

doi:10.31062/agrom.v26i1.26299

Cited by 6 publications

(5 citation statements)

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“…And they presented excellent performance (c-index between 0.78 and 0.95) in Alagoas, NEB [73], and in some regions of Rio de Janeiro, SEB [13] (c-index between 0.75 and 0.96), both located on the coast and near the Atlantic Ocean. However, the HS EM did not show good performance in locations in Brazilian continental regions, such as MG (S1), Jaguaruana city (Ceará state, NEB), Campinas and Jales cities (São Paulo state, SEB) [74], and all regions located in SEB [33]. In addition, the same results were found in [4] in all subzones of China.…”

Section: Resultsmentioning

confidence: 99%

“…A better functional relationship between the input variables that should be considered in EM studies has also not been proven. In MG, there are scarce works of this nature, and the few existing ones were made to the locality in Lavras [32], the metropolitan, Zona da Mata, and Vale do Rio Doce regions [16], and the northwest of MG [3], where only the category of EM based on air temperature and precipitation was used [3,16,32,33]. ese few studies [3,16,32] present some negative points such as short and insufficient temporal series for a good fit (1-2 years only), no model validation been performed, and models that consider only average air temperature and precipitation data, in addition to the lack of information with regard to the model fit time scale.…”

Section: Introductionmentioning

confidence: 99%

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Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Monteiro

Martins

2019

Advances in Meteorology

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Accurate and complete global solar radiation (Hs) data at a specific region are crucial for regional climate assessment, crop growth modeling, and all operations that use solar energy. However, in the Minas Gerais state, Southeastern Brazil (SEB), the number of weather stations that measure global solar radiation is scarce, and when it is available, it presents gaps in the time series. An attractive alternative to solve the data gap problem is to estimate global solar radiation using empirical models. In this study, thirteen models based on maximum and minimum air temperatures, precipitation, sunshine duration, and extraterrestrial solar radiation were compared in the daily estimation of Hs. Data from 10 weather stations, from 1999 to 2017, located in Minas Gerais were used. Also, cluster analysis was used to group the localities (weather stations) with similar patterns of model performance, climatic classification (Köppen–Geiger and Thornthwaite), and seasonal data variability, considering minimum and maximum air temperatures, precipitation, sunshine duration, and global solar radiation. Although it is apparently simple, studies on this subject are scarce and the few existing ones in Minas Gerais have flaws, which justifies this study. The models were evaluated by root mean square error (RMSE), mean absolute percentage error (MAPE), mean bias error (BIAS), Willmott’s index of agreement (d), and performance index (c-index). Models based on sunshine duration, such as those proposed by Ertekin and Yaldiz and by Newland, showed the best performance (average c-index = 0.71). Models based on temperature and precipitation showed the worst results (average c-index = 0.41). Cluster analysis showed that there is a similar pattern between the performance of the models, climatic classification, and seasonal variability of data among the localities of Minas Gerais. In general, models that presented extremely poor performance were formed with weather stations located in the dry zone, but with different climate classification, and models that presented very good (and good) performance were composed by weather stations located in the humid zone (dry subhumid) with the same climate classification and similar seasonal variability. Furthermore, the models based on temperature have a tendency to overestimate radiation values below 10 MJ·m−2 day−1 and to underestimate values higher than 25 MJ·m−2 day−1. This point is a limitation of the model for estimating global solar radiation below and above these levels, showing the influence of atmospheric systems and atmospheric attenuation mechanisms of global solar radiation.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Monteiro

Martins

2019

Advances in Meteorology

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“…Segundo os autores do modelo (Hargreaves & Samani, 1982) O modelo de Hargreaves-Samani (1982) é amplamente estudado ao redor do mundo, por diversos autores que trabalham com estimativa da radiação solar global (Ihaddadene, R., et al, 2018;Osornio, R.,et al, 2016;Rivero, et al, 2017;Ramos, et al, 2018).…”

Section: • Modelo Hargreaves-samaniunclassified

“…& Chehade, I., 2016). Já no Brasil, alguns autores também desenvolveram diferentes pesquisas e tipos de modelagens e parâmetros climatológicos para estimar a radiação solar (Belúcio, L., et al, 2014;Ramos, J., et al, 2018;Lopes Júnior, J., et al, 2021;Fernandes, D. et al 2018;Dos Santos, P. et al, 2018;Beruski, G. et al, 2015).…”

Section: Introductionunclassified

Modelos de estimativas de Radiação Solar Global e análise estatística em cidades do estado do Pará – Brasil utilizando dados meteorológicos

Valente

Vilhena

Estumano

2022

CONJ

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Estimar a radiação solar é importante para vários segmentos da sociedade como agricultura, meteorologia e geração de energia elétrica (sistemas fotovoltaicos). Este artigo tem como objetivo estimar a Radiação Solar Global em quatro cidades do estado do Pará - Brasil, por meio de modelos de estimativas, Hargreaves-Samani e Bristow-Campbell, usando dados meteorológicos fornecidos pelas Estações Meteorológicas Automáticas, pertencentes ao Instituto Nacional de Meteorologia – INMET, comparar os valores observados e estimados e analisar qual modelo melhor se adequa à região, através dos parâmetros Raiz Quadrada do Erro Quadrático Médio (RMSE), Coeficiente de correlação de Person (r), Coeficiente de Determinação (R²) e Índice de Willmott (d). Os resultados mostraram que os modelos são satisfatórios e podem ser utilizados para estimar a Radiação Solar Global, no entanto para o período menos chuvoso houve uma superestimativa, a estação de Castanhal foi a que possuiu menor desempenho em relação as demais estações e Tucuruí o melhor.

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“…Ainda, segundo os autores as estações de São Romão e Salinas tiveram valores altos de EAM em métodos baseados na temperatura do ar, devido à menor amplitude térmica, comportamento similar obtido pelas estações ID1 e ID7. Para Teresópolis Ramos et al (2018) encontraram R² = 0,48.…”

Section: Desempenho Do Método De Estimativa De Rsunclassified

Métodos baseados em temperatura do ar para estimativa de radiação solar incidente diária no Estado do Rio de Janeiro

Mazzarella¹,

Wanderley

Júnior³

et al. 2020

Rev. Bras. Geog. Fis.

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A radiação solar global (Rs) é um parâmetro de entrada necessária para estimativa da evapotranspiração e em modelos de crescimento, desenvolvimento e simulação do rendimento das culturas. Em locais com ausência de dados de Rs, podem ser utilizados métodos empíricos em função dos extremos de temperatura do ar para sua estimativa. No estado do Rio de Janeiro, estudos sobre Rs com base em métodos empíricos são escassos. Portanto, o objetivo foi estimar Rs diária com base no método de Hargreaves-Samani (HS) por meio de dados da amplitude térmica diária de 11 estações meteorológicas automáticas na escala bianual (2013-2014). O desempenho do método HS com o coeficiente proposto por Hargreaves (1994) e calibrado por Allen (1995) foi avaliado com indicadores estatísticos. O coeficiente R² variou entre 0,30 a 0,85, seguido do índice d entre 0,58 a 0,95 e do índice c entre 0,32 a 0,87, classificados como “Péssimo” a “Ótimo”. O erro absoluto variou de -6,23 a 7,09 MJ m-2 d-1 e o RQME 2,98 entre 8,69 MJ m-2 d-1. Baseado nos resultados o coeficiente proposto por Hargreaves (1994) resulta em estimativas precisas em comparação ao calibrado por Allen (1995), com ressalva das estações costeiras. Methods based on air temperature to estimate daily incident solar radiation in Rio de Janeiro State A B S T R A C TGlobal solar radiation (Rs) is a necessary input parameter for estimating evapotranspiration and in crop growth, development and simulation models. In places with no data of Rs, empirical methods may be used as a function of the extremes of air temperature for their estimation. In the state of Rio de Janeiro, studies on Rs based on empirical methods are scarce. Therefore, the objective was to estimate daily Rs based on the Hargreaves-Samani (HS) method using data from the daily thermal amplitude of 11 automatic meteorological stations on a biannual scale (2013-2014). The performance of the HS method with the coefficient proposed by Hargreaves (1994) and calibrated by Allen (1995) was evaluated with statistical indicators. The R² coefficient ranged from 0.3 to 0.85, followed by the d index between 0.58 to 0.95 and the c index between 0.32 to 0.87, classified as "Poor" to "Great." The médium erro ranged from -6.23 to 7.09 MJ m-2 d-1 and RMSE 2.98 to 8.69 MJ m-2 d-1. Based on the results, the coefficient proposed by Hargreaves (1994) results in more accurate estimates compared to the one calibrated by Allen (1995), with the exception of the coastal stations.Keywords: meteorological parameters, atmospheric transmissivity, thermal amplitude.

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Estimativa da radiação solar global baseada na amplitude térmica para o Brasil

Cited by 6 publications

References 0 publications

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Global Solar Radiation Models in Minas Gerais, Southeastern Brazil

Modelos de estimativas de Radiação Solar Global e análise estatística em cidades do estado do Pará – Brasil utilizando dados meteorológicos

Métodos baseados em temperatura do ar para estimativa de radiação solar incidente diária no Estado do Rio de Janeiro

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