scholarly journals Reference evapotranspiration for Londrina, Paraná, Brazil: performance of different estimation methods

2017 ◽  
Vol 38 (4Supl1) ◽  
pp. 2363
Author(s):  
Rodrigo Dlugosz da Silva ◽  
Marcelo Augusto de Aguiar e Silva ◽  
Marcelo Giovanetti Canteri ◽  
Juliandra Rodrigues Rosisca ◽  
Nilson Aparecido Vieira Junior

Aiming at assessing the performance of alternative methods to Penman-Monteith FAO56 for estimating the reference evapotranspiration (ETo) for Londrina, Paraná, Brazil, the methods temperature radiation, Hicks-Hess, Hargreaves-Samani (1982), Turc, Priestley-Taylor, Tanner-Pelton, Jensen-Haise, Makkink, modified Hargreaves, Stephens-Stewart, Abtew, global radiation, Ivanov, Lungeon, Hargreaves-Samani (1985), Benavides-Lopez, original Penman, Linacre, Blaney-Morin, Romanenko, Hargreaves (1974), McCloud, Camargo, Hamon, Kharrufa, McGuiness-Bordne, and Blaney-Criddle were compared to that standard method recommended by FAO. The estimations were correlated by linear regression and assessed by using the Person’s correlation coefficient (r), concordance index (d), and performance index (c) using a set of meteorological data of approximately 40 years. The methods modified Hargreaves, Stephens-Stewart, Abtew, global radiation, Ivanov, Lungeon, Hargreaves-Samani (1985), Benavides-Lopez, original Penman, and Linacre should be avoided, as they did not present excellent results. The methods McCloud, Camargo, Hamon, Kharrufa, McGuinness-Bordne, Blaney-Criddle, Hargreaves (1974), Romanenko, and Blaney-Morin were classified as very bad, not being recommended. In contrast, the methods temperature radiation, Hicks-Hess, Hargreaves-Samani (1982), Turc, Priestley-Taylor, Tenner-Pelton, Jensen-Haise, and Makkink presented excellent performance indices and can be applied in the study region.

2017 ◽  
Vol 38 (4Supl1) ◽  
pp. 2363
Author(s):  
Rodrigo Dlugosz da Silva ◽  
Marcelo Augusto de Aguiar e Silva ◽  
Marcelo Giovanetti Canteri ◽  
Juliandra Rodrigues Rosisca ◽  
Nilson Aparecido Vieira Junior

Aiming at assessing the performance of alternative methods to Penman-Monteith FAO56 for estimating the reference evapotranspiration (ETo) for Londrina, Paraná, Brazil, the methods temperature radiation, Hicks-Hess, Hargreaves-Samani (1982), Turc, Priestley-Taylor, Tanner-Pelton, Jensen-Haise, Makkink, modified Hargreaves, Stephens-Stewart, Abtew, global radiation, Ivanov, Lungeon, Hargreaves-Samani (1985), Benavides-Lopez, original Penman, Linacre, Blaney-Morin, Romanenko, Hargreaves (1974), McCloud, Camargo, Hamon, Kharrufa, McGuiness-Bordne, and Blaney-Criddle were compared to that standard method recommended by FAO. The estimations were correlated by linear regression and assessed by using the Person’s correlation coefficient (r), concordance index (d), and performance index (c) using a set of meteorological data of approximately 40 years. The methods modified Hargreaves, Stephens-Stewart, Abtew, global radiation, Ivanov, Lungeon, Hargreaves-Samani (1985), Benavides-Lopez, original Penman, and Linacre should be avoided, as they did not present excellent results. The methods McCloud, Camargo, Hamon, Kharrufa, McGuinness-Bordne, Blaney-Criddle, Hargreaves (1974), Romanenko, and Blaney-Morin were classified as very bad, not being recommended. In contrast, the methods temperature radiation, Hicks-Hess, Hargreaves-Samani (1982), Turc, Priestley-Taylor, Tenner-Pelton, Jensen-Haise, and Makkink presented excellent performance indices and can be applied in the study region.


Irriga ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Roberta Daniela Silva Santos ◽  
Marcello Henryque Costa de Souza ◽  
Regiane De Carvalho Bispo ◽  
Kevim Muniz Ventura ◽  
Luis Henrique Bassoi

COMPARAÇÃO ENTRE MÉTODOS DE ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DE REFERÊNCIA PARA O MUNICÍPIO DE PETROLINA, PE  ROBERTA DANIELA DA SILVA SANTOS1; MARCELLO HENRYQUE COSTA DE SOUZA1; REGIANE DE CARVALHO BISPO1; KEVIM MUNIZ VENTURA1 E LUÍS HENRIQUE BASSOI2 1Programa de Pós-Graduação em Irrigação e Drenagem, Universidade Estadual Paulista “Júlio de Mesquita Filho”- UNESP/FCA, Rua Dr. José Barbosa de Barros, 1780, Botucatu, SP, [email protected], [email protected], [email protected], [email protected] Embrapa Instrumentação, São Carlos, SP, [email protected]  1 RESUMO O conhecimento da evapotranspiração é vital na determinação das necessidades hídricas de uma cultura. Diante disso, o objetivo deste trabalho foi comparar o desempenho de sete métodos de estimativa da evapotranspiração de referência em relação ao método de Penman-Monteith, adotado como padrão, para o município de Petrolina, PE. Foram utilizados dados climáticos diários de 2004 a 2015, para estimar da ET0, obtidos na estação meteorológica automática do Campo Experimental de Bebedouro da Embrapa Semiárido, Petrolina, PE. Os indicadores estatísticos utilizados na avaliação foram: coeficiente de determinação (r²); coeficiente de correlação (r); índice de concordância (d) e índice de desempenho (c). Os valores do r² mostraram que o método de estimativa que melhor se ajustou ao método de Penman-Monteith foi o de Ivanov (0,73); seguido pelos métodos de Jensen-Haise (0,64); Makkink e Priestley-Taylor (0,63); Villa Nova (0,62); Hargreaves e Samani (0,53) e Hamon (0,45). No entanto, com relação ao do índice “c”, Hamon foi classificado com “péssimo”; Makkink como “mau”; Hargreaves e Samani e Villa Nova como “sofrível”; Ivanov e Priestley-Taylor como “mediano”; e Jensen-Haise como “bom”. Esse último método foi considerado como o de melhor classificação de desempenho. Palavras-chave: Penman-Monteith, correlação, semiárido.  SANTOS, R. D. S.; SOUZA, M. H. C.; BISPO, R. de C.; VENTURA, K. M.; BASSOI, L. H.METHOD-COMPARISON STUDY TO ESTIMATE THE REFERENCE EVAPOTRANSPIRATION IN PETROLINA, PE  2 ABSTRACT The knowledge on evapotranspiration is vital in determining the water requirements of a crop. Therefore, this paper aims to compare the performance of seven of estimation methods for the reference evapotranspiration in relation to the Penman-Monteith method, adopted as standard, for the municipality of Petrolina, state of Pernambuco, Brazil. We used daily climatic data from 2004 to 2015 to estimate the ET0 coefficient, obtained in the automatic weather station of the Test Field in Bebedouro, Embrapa in the Semi-arid climate. The statistical indicators used in the evaluation were: coefficient of determination (r²), correlation coefficient (r), agreement index (d) and performance index (c). The r2 values showed that the estimation method that best fitted to the Penman-Monteith method was Ivanov's (0.73), followed by Jensen-Haise (0.64), Makkink and Priestley-Taylor (0.63), Villa Nova (0.62), Hargreaves and Samani (0.53) and Hamon (0.45) methods. However, in relation to the index "c", Hamon was classified as "very poor"; Makkink as "poor"; Hargreaves and Samani and Villa Nova as "tolerable"; Ivanov and Priestley-Taylor as "medium"; and Jensen-Haise as "good". The last one was considered as the best performance rating method. Keywords: Penman-Monteith, correlation, semi-arid climate.


2019 ◽  
Vol 42 ◽  
pp. e42475
Author(s):  
Vivian Dielly da Silva Farias ◽  
Deborah Luciany Pires Costa ◽  
Joao Vitor de Novoa Pinto ◽  
Paulo Jorge Oliveira Ponte de Souza ◽  
Everaldo Barreiro de Souza ◽  
...  

The use of empirical agrometeorological models that can be adjusted to the climatic conditions of different regions has become increasingly necessary to improve water management in grain-producing municipalities. The aim of this work is to examine the correlation between various reference evapotranspiration (ETo) estimation methods and the standard FAO 56 Penman-Monteith method, as well as to determine correction factors, when necessary, for crop-producing municipalities in the northeast of Pará, during both the rainy and dry seasons. We compared simpler methods of ETo estimation to the FAO 56 Penman-Monteith method. For this purpose, meteorological data from Tracuateua, Bragança, Capitão Poço and Castanhal, provided by the National Institute of Meteorology (INMET), were used. The calibration of equations was performed through linear regression. The accuracy of different estimation methods was examined. The Turc, FAO 24 Blaney-Criddle and regression methods presented the best results for all statistical criteria; the Priestley-Taylor, Makkink and FAO 24 Radiation methods presented excellent results after calibration. The methods of Camargo and Hargreaves-Samani produced the worst results for all the criteria.


Irriga ◽  
2018 ◽  
Vol 21 (3) ◽  
pp. 449 ◽  
Author(s):  
Anderson Amorim Rocha Santos ◽  
Gustavo Bastos Lyra ◽  
Guilherme Bastos Lyra ◽  
Evaldo Paiva Lima ◽  
José Leonaldo De Souza ◽  
...  

EVAPOTRANSPIRAÇÃO DE REFERÊNCIA EM FUNÇÃO DOS EXTREMOS DA TEMPERATURA DO AR NO ESTADO DO RIO DE JANEIRO  ANDERSON AMORIM ROCHA SANTOS1; GUSTAVO BASTOS LYRA2; GUILHERME BASTOS LYRA3; EVALDO PAIVA LIMA4; JOSÉ LEONALDO DE SOUZA5 E RAFAEL COLL DELGADO2 1 Engenheiro Agrônomo, Mestre em Engenharia de Biossistemas, Escola de Engenharia, Universidade Federal Fluminense – UFF, Campus da Praia Vermelha, 24210-240, Niterói, Rio de Janeiro, Brasil, e-mail: [email protected] Meteorologistas, Professores Doutores do Departamento de Ciências Ambientais, Instituto de Florestas, Universidade Federal Rural do Rio de Janeiro – UFRRJ, Campus UFRRJ, 23897-000, Seropédica, Rio de Janeiro, Brasil, e-mail: [email protected]; [email protected] Engenheiro Agrônomo, Professor Doutor do Centro de Ciências Agrárias, Universidade Federal de Alagoas – UFAL, BR-104, 57100-000, Rio Largo, Alagoas, Brasil, e-mail:[email protected]  4 Meteorologista, Pesquisador do Centro Nacional de Pesquisa de Solos, Empresa Brasileira de Pesquisa Agropecuária – EMBRAPA, Rua Jardim Botânico 1024, 22460-000, Rio de Janeiro, Rio de Janeiro, Brasil, e-mail: [email protected] Meteorologista, Professor Doutor do Centro de Ciências Agrárias, Universidade Federal de Alagoas – UFAL, BR-104, 57100-000, Rio Largo, Alagoas, Brasil, e-mail: [email protected]  1 RESUMO A aplicação do método de Penman-Monteith FAO56 (PM-FAO56) para estimativa da evapotranspiração de referência (ETo) requer observações de diversos elementos meteorológicos. A maior parte das estações meteorológicas não realiza medidas de todos os elementos, o que restringe a aplicação do PM-FAO56. O objetivo foi avaliar o desempenho dos métodos empíricos de Thornthwaite, Camargo, Hargreaves-Samani, Jensen-Haise e Makkink na estimativa de ETo em função dos extremos de temperatura do ar no estado do Rio de Janeiro (RJ). Foram utilizadas séries meteorológicas entre oito e 34 anos de 10 estações convencionais pertencentes ao Instituto Nacional de Meteorologia localizadas no RJ. As estimativas decendiais e mensais de ETo pelos métodos empíricos foram comparadas com ETo determinada por PM-FAO56 (padrão) para se avaliar a exatidão (Erro Padrão de Estimativa - EPE e Índice de Willmott - d), precisão (coeficiente de determinação - R²) e o desempenho (índice c de Camargo e Sentelhas) dos métodos. Independente da escala de tempo avaliada, o método de Makkink mostrou estimativas com maior exatidão (d > 0,82 e EPE < 0,68 mm d-1), precisão (R² > 0,88) e desempenho (índice c > 0,85) nas estações caracterizadas com clima úmido, subúmido, subúmido seco com pequeno excedente hídrico. Nas demais estações, clima subúmido seco com excedente nulo e semiárido, o método de Hargreaves-Samani teve melhor desempenho (índice c > 0,85). Os métodos de Thornthwaite e Camargo apresentaram estimativas com exatidão (d > 0,90 e EPE < 0,72 mm d-1) e desempenho (índice c > 0,76) entre os melhores e podem ser usados para estimativa de ETo no RJ. As menores exatidões (d < 0,73 e EPE > 1,38 mm d-1) e desempenhos (0,51 < índice c < 0,75) das estimativas foram proporcionadas por Jensen-Haise para todas as estações e escalas de tempo, não sendo recomendado sua aplicação no estado do RJ. Os métodos de Hargreaves-Samani, Jensen-Haise e Makkink devem ser ajustados às condições climáticas do RJ. Palavras-Chave: Penman-Monteith, radiação solar global, amplitude térmica   SANTOS, A. A. R.; LYRA, G.B.; LYRA, G.B.; LIMA, E. P.; SOUZA, J. L.; DELGADO, R. C.ESTIMATES OF THE REFERENCE EVAPOTRANSPIRATION USING AIR TEMPERATURE EXTREMES IN THE STATE OF THE RIO DE JANEIRO, SOUTHEASTERN BRAZIL 2 ABSTRACT The use of the Penman-Monteith FAO56 method (PM-FAO 56) to estimate reference evapotranspiration (ETo) requires several weather elements. However, most weather stations don’t measure all the elements, which restricts the application of PM-FAO 56. The aim of this article was to evaluate the performance of five empirical methods (Thornthwaite, Camargo, Hargreaves-Samani, Jensen-Haise and Makkink) to estimate ETo using air temperature extremes in the state of the Rio de Janeiro (RJ). Times series of weather elements between eight and 34 years from 10 conventional stations of the Brazilian National Institute of Meteorology located in RJ were used. The ten-day and monthly estimates of ETo by empirical methods were compared to ETo determined by PM-FAO 56 (default) to evaluate the accuracy (Standard Error of the Estimate - SEE and Willmott index - d), precision (coefficient of determination - R²) and performance (Camargo and Sentelhas – c Index) of the methods. Independent of the time scale, the Makkink method showed the highest accuracies (d > 0.82 and SEE < 0.68 mm d-1), precision (R² > 0.88) and performance (c Index > 0.85) on the stations, characterized with humid, sub-humid, dry sub-humid with small water surplus. For the other stations, semiarid and dry sub-humid climate with no surplus, the Hargreaves-Samani method had the best performance (c Index > 0.85). The Thornthwaite and Camargo methods presented accuracy (d > 0.90 and SEE < 0.72 mm d-1) and performance (Index c > 0.76) between the top and can be used to estimate ETo in RJ. For all stations and time scales, the worst accuracies (d < 0.73 and SEE > 1.38 mm d-1) and performance (0.51 < Index c < 0.75) estimates were provided by the Jensen-Haise method, so it is not recommended its application in RJ state. The Hargreaves-Samani, Jensen-Haise and Makkink methods should be fitted to the climatic conditions of RJ. Keywords: Penman-Monteith, solar global radiation, temperature amplitude


2016 ◽  
Vol 11 (2) ◽  
pp. 619-630
Author(s):  
H. H Mashru ◽  
D. K Dwivedi

Estimation of Evapotranspiration is important for determining the agro-climatic potential of a particular region, water requirement of field crops, irrigation scheduling and suitability of crops or varieties, which can be grown successfully with the best economic returns and therefore numerous models have been developed for determining evapotranspiration. The performance evaluation of commonly used reference evapotranspiration (ET0) estimation methods like FAO 56 Penman-Monteith, Samani and Hargreaves, Makkink, Blaney Criddle, Jensen-Haise, Priestly-Taylor, FAO 24 radiation and Modified Penman Monteith method based on their accuracy of estimation has been undertaken in this study. The inter-relationship between FAO-56 Penman-Monteith method and other reference evapotranspiration (ET0) estimation method is also determined in this study. The results showed that Blaney Criddle method, Modified Penman method, Jensen-Haise method and Priestly-Taylor method are the alternative methods to Penman-Monteith method for better estimate of ET0 for the Junagadh city of Gujarat, India.


2021 ◽  
Vol 13 (1) ◽  
pp. 95-115
Author(s):  
Augusto Omar Villa-Camacho ◽  
◽  
Ronald Ernesto Ontiveros-Capurata ◽  
Osías Ruíz-Álvarez ◽  
Alberto González-Sánchez ◽  
...  

<strong>Introduction:</strong> Evapotranspiration is key in the management of arid agricultural areas. In Chihuahua, the volume of irrigation water is based on reference evapotranspiration (ET<sub>o</sub>) calculated with empirical methods and extrapolated to the cropped area, which is inaccurate. The alternative is to calculate ET<sub>o</sub> variation by spatial interpolation.</br> <strong>Objective:</strong> To analyze the spatio-temporal variation of ET<sub>o</sub> using empirical methods and spatial interpolation in Chihuahua, Mexico.</br> <strong>Methodology:</strong> Records from 33 meteorological stations from 1960-2013 and seven ET<sub>o</sub> estimation methods were used. The results were compared with the Penman-Monteith method, modified by FAO (PMMF), ANOVA analysis (P ≤ 0.05), and homogeneous ET<sub>o</sub> surfaces built from the point values by spatial interpolation.</br> <strong>Results:</strong> The Hargreaves method (R<sup>2</sup> = 0.91, RMSE = 1.16 and ME = -0.69 mm-day<sup>-1</sup>) had a smaller bias with respect to PMMF. ET<sub>o</sub> values ranged from 2.5 to 7.1 mm-day<sup>-1</sup> in a west-east direction, with maximum values at low elevations and minimum values at high elevations, which showed the influence of the Sierra Madre Occidental on ET<sub>o</sub>. This characteristic was most noticeable in the warm months (June to September).</br> <strong>Limitations of the study:</strong> The use of estimated data needs field validation.</br> <strong>Originality:</strong> The ET<sub>o</sub> estimation with seven empirical methods and one spatial interpolation method to extrapolate values to areas with scarce meteorological data.</br> <strong>Conclusions:</strong> The Hargreaves method allows estimating the spatio-temporal variation of ET<sub>o</sub> in large extensions and areas with limited meteorological information.</br>


2018 ◽  
Vol 33 (3) ◽  
pp. 567-578 ◽  
Author(s):  
Bruno César Gurski ◽  
Daniela Jerszurki ◽  
Jorge Luiz Moretti de Souza

Abstract The choice of consistent alternative methods is essential for the improvement of reference evapotranspiration (ETo) estimation for different climatic regions. Due to a critical gap in knowledge concerning the most adequate alternative ETo methods for the climatic conditions in Paraná, Brazil, this study aimed to test and to evaluate the main estimation alternative methods (Thornthwaite - EToTH; Camargo - EToC; Hargreaves and Samani - EToHS; Linacre - EToL; and, Budyko - EToB) for the subtropical (Cfb) and semi-arid (Bsh) climate types in Brazil. We compared our results with standard EToPM (Penman-Monteith) estimated between 1970 and 2015, using the minimum and maximum air temperature (T), sunshine hours (n), relative humidity (RH) and wind speed (U2). Least square regression analysis of ETo estimated by alternative methods vs EToPM were used to calibrate the methods for each analyzed climate type. The performance of calibrated and noncalibrated methods was evaluated by index of agreement “d” and performance “c”, root mean square error (RMSE) and mean error (ME). Our results showed the importance of calibration process of alternative methods for the improvement of ETo estimations in Brazil. The Hargreaves and Samani and Linacre calibrated methods showed better performance in the subtropical and semi-arid climates, respectively. Also, the Linacre and Budyko calibrated methods were particularly robust in subtropical and semi-arid climates, outlining the importance of continuous measurements of T used in the EToL and EToB modeling effort. The results presented here showed the importance to calibrate the alternative methods on ETo estimations and outlined the need for improvement and proposition of new ETo methods based on a limited number of climatic variables commonly available in subtropical and semi-arid climates in Brazil.


2018 ◽  
Vol 42 (1) ◽  
pp. 104-114 ◽  
Author(s):  
Lucas Borges Ferreira ◽  
Fernando França da Cunha ◽  
Anunciene Barbosa Duarte ◽  
Gilberto Chohaku Sediyama ◽  
Paulo Roberto Cecon

ABSTRACT The estimation of the reference evapotranspiration is an important factor for hydrological studies, design and management of irrigation systems, among others. The Penman Monteith equation presents high precision and accuracy in the estimation of this variable. However, its use becomes limited due to the large number of required meteorological data. In this context, the Hargreaves-Samani equation could be used as alternative, although, for a better performance a local calibration is required. Thus, the aim was to compare the calibration process of the Hargreaves-Samani equation by linear regression, by adjustment of the coefficients (A and B) and exponent (C) of the equation and by combinations of the two previous alternatives. Daily data from 6 weather stations, located in the state of Minas Gerais, from the period 1997 to 2016 were used. The calibration of the Hargreaves-Samani equation was performed in five ways: calibration by linear regression, adjustment of parameter “A”, adjustment of parameters “A” and “C”, adjustment of parameters “A”, “B” and “C” and adjustment of parameters “A”, “B” and “C” followed by calibration by linear regression. The performances of the models were evaluated based on the statistical indicators mean absolute error, mean bias error, Willmott’s index of agreement, correlation coefficient and performance index. All the studied methodologies promoted better estimations of reference evapotranspiration. The simultaneous adjustment of the empirical parameters “A”, “B” and “C” was the best alternative for calibration of the Hargreaves-Samani equation.


2021 ◽  
Author(s):  
Mohammed ACHITE ◽  
Muhammad Taghi Sattari ◽  
Abderrezak Kamel Toubal ◽  
Andrzej Wałęga ◽  
Nir Krakauer ◽  
...  

Abstract Evapotranspiration (ET) is an important part of the hydrologic cycle, especially when it comes to irrigated agriculture. For the estimation of reference evapotranspiration (ET0), direct methods either pose difficulties or call for many inputs that may not always be available from weather stations. This study compares Feed Forward Neural Network (FFNN), Radial Basis Function Neural Network (RBFNN). and Gene Expression Programming (GEP) approachs for the estimation of daily ET0 in a weather station in Lower Cheliff plain (northwest Algeria), over a 6-year period (2006–2011). Firstly, measured air temperature, relative humidity, wind speed, solar radiation and global radiation was used to calculate ET0 using FAO-56 Penman-Monteith equation as the reference. Then, the calculated ET0 using FAO-56 Penman-Monteith was considered as output for data driven models, while the measured meteorological data were considered as input of the models. The coefficient of determination (R2), root mean square error (RMSE) and Nash Sutcliffe efficiency coefficient (EF) were used to evaluate the developed models. The results of the developed models were compared with the Penman-Monteith evapotranspiration using these performance criteria. The FFNN model proved to yield the best performance compared to all the developed data-driven models, while the RBF-NN and GEP models also demonstrated potential for good performance.


Irriga ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 481-491
Author(s):  
José Carlos Mendonça ◽  
Andre Dalla Bernardina Garcia ◽  
Jonathan Nogueira Franco

COEFICIENTES DE ANGSTRÖM-PRESCOTT PARA ESTIMAR A RADIAÇÃO SOLAR GLOBAL EM CAMPOS DOS GOYTACAZES, RJ     JOSÉ CARLOS MENDONÇA¹; ANDRE DALLA BERNARDINA GARCIA² E JONATHAN NOGUEIRA FRANCO³   ¹ Laboratório de Engenharia Agrícola – LEAG, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, RJ, Brasil. [email protected] ² Laboratório de Engenharia Agrícola – LEAG, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, RJ, Brasil. [email protected] ³ Laboratório de Engenharia Agrícola – LEAG, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego, 2000, Parque Califórnia, Campos dos Goytacazes, RJ, Brasil. [email protected]     1 RESUMO   Para reduzir custos com equipamentos utilizados na estimativa da radiação solar, geralmente são realizadas estimativas a partir de um modelo utilizando a irradiância solar, como Angström-Prescott. Esse trabalho teve por objetivo obter os coeficientes, mensais, utilizados na equação de Angström-Prescott para estimativa da Radiação Solar Global no município de Campos dos Goytacazes, RJ. Foram utilizados dados meteorológicos entre os anos de 1998 a 2020 para obtenção dos valores de horas de insolação (n), máximo de horas de insolação diária (N), radiação solar global no topo da atmosfera (Ra) e radiação solar global (Rs) mensalmente estimados. Os resultados foram validados por meio dos índices de concordância (D), erro médio absoluto (MAE), erro máximo (EMAX), eficiência do modelo ou método (EF), índice de desempenho (c) e coeficiente residual de massa (CRM). Para a região de estudo, os coeficientes “a” e “b” encontrados foram 0,0191 e 0,9486, respectivamente, considerando-se os valores anuais. Os índices estatísticos “D” e “c” foram 0,977 e 0,94, respectivamente, sendo classificados como ótimos. A partir dos resultados e obtidos é possível utilizar apenas um heliógrafo para estimar a radiação global com ótima precisão, em cada um dos meses individualmente, para a cidade de Campos dos Goytacazes.   Palavras-chave: climatologia, agrometeorologia, modelagem.     MENDONÇA, J. C., GARCIA, A. D. B., FRANCO, J. N. MONTHLY ANGSTRÖM-PRESCOTT COEFFICIENTS TO ESTIMATE GLOBAL SOLAR RADIATION IN CAMPOS DOS GOYTACAZES, RJ     2 ABSTRACT   To reduce costs with equipment used to estimate solar radiation, estimates are usually made based on a  model that uses solar irradiance, such as Angström-Prescott. This work aimed to obtain monthly coefficients, using the Angström-Prescott equation to estimate Global Solar Radiation in the city of Campos dos Goytacazes, RJ. Meteorological data from 1998 to 2020 were used to obtain values ​​of hours of sunshine (n), maximum hours of daily sunshine (N), global solar recording at the top of the atmosphere (Ra) and global solar radiation (Rs) monthly estimated. The results were validated using  agreement indexes (D), mean absolute error (MAE), maximum error (EMAX), model or method efficiency (EF), performance index (c) and residual mass coefficient (CRM). For the study region, coefficients "a" and "b" found were 0.0191 and 0.9486, respectively, considering the annual values. The statistical indexes "D" and "c" were 0.977 and 0.94, respectively, and were classified as great. Based on the results, it is possible to use only a heliograph to estimate global radiation with maximum precision, in each month, individually, for the city of Campos dos Goytacazes.   Keywords: climatology, agrometeorology, modeling.


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