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Near-real time retrievals of land surface temperature within the MODIS Rapid Response System

机译:MODIS快速响应系统内的近地表温度实时检索

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摘要

The MODIS Rapid Response (RR) System was developed to meet the near real time needs of the applications community. Generally, its products are available online within hours of the satellite overpass. We recently adapted the standard MODIS land surface temperature (LST) split-window algorithm for use in the RR System. To minimize latency, we eliminated the algorithm's dependency on upstream MODIS products. For example, although the standard MODIS LST requires prior retrieval of air temperature and water vapor from the MODIS scene, the RR LST employs a climatological database of atmospheric values based on a 25-year record of NOAA TOVS observations. The standard and RR algorithms also differ in upstream processing, surface emissivity determination, and use of a cloud mask (RR product does not contain one). Comparison of the MODIS RR and standard LST products suggests that biases are generally less than 0.1 K, and root-mean-square differences are less than I K despite the presence of some larger outliers. Initial validation with field data suggests the absolute uncertainty of the RR product is below I K. The MODIS RR land surface temperature algorithm is a stand-alone computer code. It has no dependencies on external products or toolkits, and is suitable for Direct Broadcast and other processing systems. (c) 2006 Elsevier Inc. All rights reserved.
机译:开发MODIS快速响应(RR)系统是为了满足应用程序社区的近实时需求。通常,其产品可在卫星立交后数小时内在线获得。我们最近修改了标准MODIS地表温度(LST)分割窗口算法,以在RR系统中使用。为了最大程度地减少延迟,我们消除了算法对上游MODIS产品的依赖。例如,尽管标准的MODIS LST要求事先从MODIS场景中获取空气温度和水蒸气,但RR LST还是根据25年NOAA TOVS观测记录使用了大气数值气候数据库。标准算法和RR算法在上游处理,表面发射率确定和使用云掩模方面也有所不同(RR产品不包含一个)。 MODIS RR和标准LST产品的比较表明,尽管存在一些较大的离群值,但偏差通常小于0.1 K,并且均方根差小于IK。现场数据的初步验证表明,RR产品的绝对不确定性低于IK。MODIS RR地表温度算法是独立的计算机代码。它不依赖于外部产品或工具包,并且适用于直接广播和其他处理系统。 (c)2006 Elsevier Inc.保留所有权利。

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