首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >THE VERISIMILITUDE OF THE INDEPENDENT PIXEL APPROXIMATION USED IN CLOUD REMOTE SENSING
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THE VERISIMILITUDE OF THE INDEPENDENT PIXEL APPROXIMATION USED IN CLOUD REMOTE SENSING

机译:云遥感中独立像素逼近的逼真度

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We assess the validity of the ''independent pixel approximation'' (IPA) using Monte Carlo simulations of realistic scale-invariant clouds modeled with 2-D horizontal variations in optical depth. The IPA uses a plane-parallel approximation for each pixel, and is used in virtually all cloud remote sensing algorithms. We confirm the validity of the IPA at the largest scales and demonstrate its shortcomings on the smallest scales: a) It overestimates the variability of the radiation field when the optical depth field is known, and b) it underestimates the variability of the optical depth field when the radiation field is known. Both effects are due to smoothing by horizontal fluxes. [References: 24]
机译:我们使用光学深度为2D水平变化建模的真实尺度不变云的蒙特卡罗模拟来评估“独立像素近似”(IPA)的有效性。 IPA对每个像素使用平面平行近似,并且实际上在所有云遥感算法中使用。我们在最大尺度上确认了IPA的有效性,并在最小尺度上证明了其缺点:a)当已知光学深度场时,它高估了辐射场的可变性; b)低估了光学深度场的变化当辐射场已知时。两种效果均归因于水平通量的平滑。 [参考:24]

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