Fluctuations in Insolation during 1962 - 2019 for Municipalities in Pernambuco, Brazil

Raimundo Mainar de Medeiros *

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Moacyr Cunha Filho

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Manoel Vieira de França

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Romildo Morant de Holanda

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Victor Casimiro Piscoya

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

João Silva Rocha

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Thaísa Oliveira Folha Piscoya

Superintendência do Desenvolvimento do Nordeste – SUDENE. Av. Eng. Domingos Ferreira, 1967, CEP: 51111-021, Recife, PE, Brazil.

Ana Luiza Xavier Cunha

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Guilherme Rocha Moreira

Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros, s/n, Dois Irmãos, CEP 52171-900, Recife, PE, Brazil.

Maria Lindomarcia Leonardo da Costa

Universidade Federal da Paraíba, Campus I - Cidade Universitária, s/n, Castelo Branco, CEP 58050-085, João Pessoa, PB, Brazil.

Renisson Neponuceno de Araújo Filho

Universidade Federal do Tocantins, Rua Badejós, Lote 7, Chácaras 69/72, s/n - Zona Rural, CEP 77402-970, Gurupi, TO, Brazil.

*Author to whom correspondence should be addressed.


Abstract

This study evaluates the insolation calculations and their analysis soon after plotting their respective local historical average graph from 1962 to 2019 for some municipalities in Pernambucana. Monthly and annual insolation data for the study period was obtained from the National Institute of Meteorology.After homogenization, data consistency and failure filling of each series, the spatial and temporal insolation densities were performed for municipalities like Arcoverde, Cabrobó, Garanhuns, Ouricuri, Petrolina, Recife, Surubim and Triunfo. The average and its historical average were calculated and appropriate analysis was performed. The spatial distribution of the monthly insolation data showed great variability for the months studied, ranging from approximately 3 to 4 hours. The median values ​​ most likely occured during the months for the eight municipalities under study. The municipality of Garanhuns presented higher insolation values ​​than Petrolina. Comparing the values ​​obtained in this study with the values ​​of the Solarimetric Atlas of Brazil, indicated a good similarity of the recorded data.

Keywords: Agriculture, climatology, climate variability, spatial and temporal distribution


How to Cite

Medeiros, Raimundo Mainar de, Moacyr Cunha Filho, Manoel Vieira de França, Romildo Morant de Holanda, Victor Casimiro Piscoya, João Silva Rocha, Thaísa Oliveira Folha Piscoya, et al. 2020. “Fluctuations in Insolation During 1962 - 2019 for Municipalities in Pernambuco, Brazil”. Journal of Experimental Agriculture International 42 (7):113-23. https://doi.org/10.9734/jeai/2020/v42i730560.

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