Abstract
The poor spatial resolution of available ground data provides an opportunity to estimate solar irradiation from computational models based on the satellite data. The developed model employs various spectral bands of the satellite data and focuses on distinguish weather signatures, such as: dust, aerosols, fog, and clouds. These parameters affect the solar radiation availability all over the world. However, for a tropical country like India, which is potentially rich in solar energy resources, the study of these parameters is of crucial importance. A modified version of the HELIOSAT model is developed and an all-day index based on various bands of satellite data is introduced. Results are validated against the ground data recorded at various stations of the Indian Meterological Department as well as with the Meteosat East data.
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