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"Wind Energy Potential Assessment Based-on WRF Four-Dimensional Data As" by Nurry Widya Hesty, Dian Galuh Cendrawati et al.

Indonesia has a target of achieving 23% of renewable energy share in the total energy mix in 2025. However, Indonesia does not have accurate and comprehensive data on renewable energy potentials, especially wind energy. This article aims to assess the theoretical potential of wind speed and to visualize the wind speed by province for the entire Indonesia. Our assessment relied on the Weather Research and Forecasting (WRF) model using Four-Dimensional Data Assimilation technique, also known as Nudging Newtonian relaxation. The robustness of our analysis is confirmed by using high-resolution data from the National Centers for Environmental Prediction-Final (NCEP - FNL) and Cross-Calibrated Multi-Platform (CCMP) Reanalysis satellite data. This study shows the WRF method is a feasible option to estimate wind speed data. ....

National Centers For Environmental Prediction , Weather Research , Four Dimensional Data Assimilation , Nudging Newtonian , National Centers , Environmental Prediction Final , Cross Calibrated Multi Platform ,