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COMPARING MEASURED AND SATELLITE-DERIVED SURFACE IRRADIANCE

机译:比较测量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:本研究的目的是两倍:1)通过与地面测量数据相比,研究全球太阳能缺失项目(GSIP)物理基础模型的表征,在整个美国的全球水平太阳辐射,2)检查GSIP数据的改进以解决时间和空间变化。该研究枚举并检查GSIP模型的空间和时间局限。大多数比较都表现出相对良好的统计协议。然而,在卫星模型中使用的方法来区分小微气体条件具有重大挑战,并且该模型需要改进在寻址气溶胶估计,水蒸气估计和清晰的天空光学性质方面。卫星派生数据集仅以半小时间隔提供。表面测量很容易按秒的顺序在时间分辨率下进行。因此,单小时内变异性,了解发电厂在发电厂的电力产生如何变化的重要数量,不能直接来自卫星。本文说明了基于卫星基于数据集无法捕获地面测量中的小时内变异性。我们还讨论了改进的下一代地静止卫星数据的潜力,以提高表面辐射估计的准确性。

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