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This paper investigated a solar spectrum estimation method based on the SMARTS2 code and the specific impact of input parameters i.e. turbidity and precipitable water vapor (PWV) on the estimation. The turbidity measured by the filter type spectroradiometer called skyradiometer was used for increasing the estimation accuracy. The results of three different estimation methods for obtaining PWV from GPS sensor, skyradiometer and conventional humidity measurement were compared. The estimated solar spectrum was verified by grating type spectroradiometer and conventional instruments. As a consequence, each parameter set was sufficient to estimate solar spectrum, especially, the parameter set consisted of the turbidity from skyradiometer and the PWV from conventional humidity measurement was the most accurate.

Solar Spectrum Estimation and Impact of Input Parameters