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COMPARING MEASURED AND SATELLITE-DERIVED SURFACE IRRADIANCE

机译:比较测得的和卫星衍生的表面辐照度

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The purpose of this study is two-fold: 1) To examine the performance of the Global Solar Insolation Project (GSIP) physics-based model in characterizing global horizontal solar radiation across the United States by comparing to the ground measured data, and 2) to examine improvements of the GSIP data to address temporal and spatial variations. The study enumerates and examines the spatial and temporal limitations of the GSIP model. Most comparisons demonstrate relatively good statistical agreement. However, the methodology used in the satellite model to distinguish microclimate conditions presents significant challenges, and the model requires refinement in addressing aerosol estimates, water vapor estimates, and clear sky optical properties. Satellite derived datasets are only available at half-hour intervals. Surface measurement can easily be made at temporal resolution in the order of seconds. Therefore intra-hour variability, an important quantity for understanding how power production in power plants will vary, cannot be directly derived from satellites. This paper illustrates how intra-hour variability in ground measurements cannot be captured by the satellite based datasets. We also discuss the potential for improved next-generation geostationary satellite data to improve the accuracy of surface radiation estimates.
机译:这项研究的目的有两个:1)通过与地面实测数据进行比较,研究基于全球日晒计划(GSIP)物理模型的性能,以表征整个美国的全球水平太阳辐射,以及2)检查GSIP数据的改进,以解决时空变化。该研究列举并研究了GSIP模型的时空局限性。大多数比较表明相对较好的统计一致性。但是,卫星模型中用来区分微气候条件的方法提出了重大挑战,并且该模型需要完善以解决气溶胶估算,水蒸气估算和晴朗天空的光学特性。卫星衍生的数据集仅每半小时可用一次。可以在几秒钟的时间分辨率下轻松进行表面测量。因此,小时内可变性(对于理解发电厂的发电量将如何变化的重要量)不能直接从卫星得出。本文说明了基于卫星的数据集如何无法捕获地面测量值的小时内变化。我们还将讨论改进下一代对地静止卫星数据以提高地表辐射估计精度的潜力。

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