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Abstract: Enhancing Renewable Energy Forecast Accuracy via High-resolution WRF-Solar and Roughness sublayer scheme (AGU25)

Enhancing Renewable Energy Forecast Accuracy via High-resolution WRF-Solar and Roughness sublayer scheme

Chanyi Gwak, Kongju National University, Gongju, Korea, Republic of (South), Eun-Chul Chang, Kongju National University, Department of Atmospheric Science, Gongju, South Korea and Junhong Lee, Center for Atmospheric REmote sensing (CARE), Kyungpook National University, Daegu, South Korea
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