Title of article
Comparison of ANN and MLR models for estimating solar radiation in Turkey using NOAA/AVHRR data Original Research Article
Author/Authors
Mehmet ?ahin، نويسنده , , Y?lmaz Kaya، نويسنده , , Murat Uyar، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2013
Pages
14
From page
891
To page
904
Abstract
In this paper, the estimation capacities of MLR and ANN are investigated to estimate monthly-average daily SR over Turkey. The satellite data are used for 73 different locations over Turkey. Land surface temperature, altitude, latitude, longitude and month are offered as the input variables for modeling ANN and MLR to get SR. Estimations of SR are evaluated with the meteorological values by using the statistical bases. The obtained results indicated that the ANN model could achieve a satisfactory performance when compared to the MLR model. Moreover, it is understood that more accurate results in estimation of SR are obtained in the use of satellite data, rather than the use of meteorological station data. Finally, the built ANN model is used to estimate the yearly average of daily SR over Turkey. As a result, satellite-based SR map for Turkey is generated.
Keywords
NOAA/AVHRR , Solar radiation , mapping , Land Surface Temperature , Artificial neural network , Multiple linear regression
Journal title
Advances in Space Research
Serial Year
2013
Journal title
Advances in Space Research
Record number
1134500
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