Open AccessEmpirical model for estimation of global solar radiation at lowland region Biratnagar using satellite data
Author(s) -
Gulshan Bahadur Shrestha,
Binod Pandey,
Usha Joshi,
Khem N. Poudyal
Publication year - 2021
Publication title -
bibechana
Language(s) - English
Resource type - Journals
ISSN - 2382-5340
DOI - 10.3126/bibechana.v18i1.29689
Subject(s) - angstrom , sunshine duration , empirical modelling , satellite , coefficient of determination , regression analysis , estimation , statistics , regression , mean squared error , linear regression , statistical model , environmental science , mathematics , climatology , meteorology , geography , relative humidity , geology , computer science , physics , chemistry , management , astronomy , programming language , economics , crystallography
This study proposes to find the regression coefficient of the modified Angstrom type model for the estimation of global solar radiation (GSR) in lowland Biratnagar (Lat. 26.5º N, Long. 87.3º E and Alt. 72m) using relative sunshine duration and satellite data of GSR. Using the regression technique, the empirical constants 0.29 and 0.56 are found in the modified Angstrom model. Furthermore, Modified Angstrom model along with other linear models such as Glover and McCulloch model, Page model, Rietveld model, and Turton's model are statistically assessed to evaluate the significance of models. Statistical tests like MPE, MBE, RMSE, and CC reveal that all these models are statistically significant. These findings can be utilized for other locations with a high confidence level at the similar climatic locations of Nepal.
BIBECHANA 18 (2021) 193-200