Model Estimasi Data Intensitas Radiasi Matahari untuk Wilayah Banten

Abstract

Solar radiation data (R_s, MJm^-2d^-1) has a significant role in weather and climate model in quantifying heat exchang between earth surfaces and the atmosphere. Solar radiation data also an important variable in agricultural sciences, hydrology, meteorology, and soil physics. However, the sparsity of weather stations spot in which solar radiation intensity can be observed makes model estimation as one of the best alternative solution for  solar radiation intensity measurements. Today, there are many models that can be used  to estimate the magnitude of solar radiation intensity. This study aims to investigate and evaluate two different modelling approach, first through an empirical model, represented by The Keiser AR (sama seperti abstrak Indonesia, apakah nama modelnya Keiser, AR atau AR itu singkatan dari Arkansas?, kalau singkatan uraikan dulu AR itu apa baru akronimkan) and two, through a deterministic model, which uses three main weather variables as the input data. These variables consists of rainfall (mm), maximum temperature (°C), and minimum temperature (°C) data. Evaluation results of predicted solar radiation intensity data by the model compared to daily reanalysis data of solar radiation from NCEP in coordinate point of Pondok Betung Climatological Station shows a correlation value of 0.72 (i.e a strong correlation value) and a root mean square error value (RMSE) of 2 MJm^-2d^-1. Based on spatial review, the model performance varies over The Province of Banten, the predicted results of solar radiation data in the province’s western region shows better performance than those in the province’s eastern region.