Abstract

In this study, daily global solar radiation data at Urumuqi in 1995-2004 were investigated. Sunshine based models were used to estimate the global radiation. Estimated values were compared with measured values in terms of statistical error tests such as mean percentage error (MPE), mean bias error (MBE), root mean square error (RMSE). The model performing best was selected. The global solar radiation estimated from the best model was compared with measured values. It was determined that the predicted values have good agreement with the measured values at high daily global solar radiation.

Highlights

  • Solar radiation is an important variable to any vegetative, biophysical and hydrological model that simulates mass, water and energy fluxes

  • An accurate knowledge of the global solar radiation data at a particular geographical location is of vital importance

  • The most widely used method is that of Angström [1], who proposed a linear relationship between the ratio of average daily global radiation to the corresponding value on a completely clear day and the ratio of average daily sunshine duration to the maximum possible sunshine duration

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Summary

Introduction

Solar radiation is an important variable to any vegetative, biophysical and hydrological model that simulates mass, water and energy fluxes. In order to achieve this, several empirical models have been developed to predict the solar radiation all over the world using various parameters. These parameters include extraterrestrial radiation, sunshine hours, mean temperature, maximum temperature, soil temperature, relative humidity, number of rainy days, altitude, latitude and cloudiness [1,2,3,4,5,6,7,8,9,10].The most commonly used parameter for estimating global solar radiation in the publications is sunshine duration. The main objective of this paper is to estimate the daily global solar radiation with measured daily sunshine duration data from Urumuqi, and to find the most suitable model for global radiation estimation at Urumuqi, China

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