Estimates of the global radiation incident on inclined surfaces based of sunshine duration

Authors

  • Adilson P. de Souza Universidade Federal de Mato Grosso, Instituto de Ciências Agrárias e Ambientais, Campus de Sinop
  • João F. Escobedo Universidade Estadual Paulista Júlio de Mesquita Filho, Faculdade de Ciências Agronômicas de Botucatu, Departamento de Ciências Ambientais

DOI:

https://doi.org/10.5039/agraria.v8i3a1894

Keywords:

photoperiod, statistical indicators, Angströn-Prescott model, atmospheric transmissivity

Abstract

Estimating equations of global radiation based on the sunshine duration were proposed for horizontal surface and with inclination of 12.85, 22.85 and 32.85° facing the North in Botucatu, SP, Brazil, in monthly, seasonal and annual groupings of data. Simple linear correlations were applied (for definition of the linear and angular coefficients of Angstrom-Prescott model), in a database measured in all three inclinations in different periods (22.85°: 04/1998 to 07/2001; 12.85°: 08/2011 to 02/2003; and 32.85°: 03/2003 to 12/2007) concomitant with horizontal measures and sunshine duration. The statistical performance of the model was analysed by the means absolute error (MBE), the square root of the mean square error (RMSE) and the index adjustment (d). The minimum global radiation transmissivity varied from 14.35% in August (12.85°) to 27.86% in December (32.85°) and the maximum transmissivity ranged between 62.10% and 78.90%, for June (32.85°) and December (12.85°). Increasing the angle of inclination surface increased the scattering and decreased the index of adjustment and performance. The worst results were found for application of the seasonal and annual models in the months of autumn and winter for 32.85° (RMSE below 42.93% and adjustment superior to 0.4693).

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Published

2022-02-01

How to Cite

Adilson P. de Souza, & João F. Escobedo. (2022). Estimates of the global radiation incident on inclined surfaces based of sunshine duration. Brazilian Journal of Agricultural Sciences, 8(3), 483-491. https://doi.org/10.5039/agraria.v8i3a1894

Issue

Section

Agricultural Engineering