机译:使用REST2模型和阿拉伯半岛上的WRF-CHIMERE模拟来预测日前晴朗天空的下行井地面太阳辐照度
Khalifa Univ Sci & Technol, Res Ctr Renewable Energy Mapping & Assessment, Masdar Inst, POB 54224, Abu Dhabi, U Arab Emirates;
Khalifa Univ Sci & Technol, Res Ctr Renewable Energy Mapping & Assessment, Masdar Inst, POB 54224, Abu Dhabi, U Arab Emirates;
Khalifa Univ Sci & Technol, Res Ctr Renewable Energy Mapping & Assessment, Masdar Inst, POB 54224, Abu Dhabi, U Arab Emirates;
Khalifa Univ Sci & Technol, Res Ctr Renewable Energy Mapping & Assessment, Masdar Inst, POB 54224, Abu Dhabi, U Arab Emirates;
KACARE, POB 2022, Riyadh 11451, Saudi Arabia;
KACARE, POB 2022, Riyadh 11451, Saudi Arabia;
KACARE, POB 2022, Riyadh 11451, Saudi Arabia;
Khalifa Univ Sci & Technol, Res Ctr Renewable Energy Mapping & Assessment, Masdar Inst, POB 54224, Abu Dhabi, U Arab Emirates;
Aerosols; Cloud-free; Chemistry transport; Solar forecasting;
机译:使用参考物理辐射传输模型对干旱地点的直接和全球晴空太阳辐照度预测进行多模型基准测试
机译:太阳能制图和大规模应用的晴空辐照度预测:改进的验证方法和18种宽带辐射模型的详细性能分析
机译:先进的晴空模型可针对任意定向的倾斜表面提供更准确的辐照度和照度预测
机译:朝着改进的太阳辐照度预报:朝鲜半岛太阳辐照度业务数值天气预报模型的评估
机译:基于机器学习的日航天太阳辐照度预测方法探索
机译:晴空表面辐照度的参数化及其对气溶胶直接辐射效应和气溶胶光学深度的估计
机译:在阿拉伯联合酋长国无云的天空下,验证由McClear模型估算的地面下行太阳辐照度