Global Land Surface Temperature From the Along-Track Scanning Radiometers
Global Land Surface Temperature From the Along-Track Scanning Radiometers
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DOI：
10.1002/2017jd027161
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发表时间：
2017-11-27
影响因子：
4.4
通讯作者：
Remedios, J. J.
中科院分区：
文献类型：
--
作者：
Ghent, D. J.;Corlett, G. K.;Remedios, J. J.
莱斯特沿轨扫描辐射计（ATSR）和海洋和陆地表面温度辐射计（SLSTR）处理器LAND表面温度（LASPLAST）提供全球陆地表面温度（LST）产品的热红外辐射数据。在本文中，国家的最先进的版本LASPLAST，部署在GlobTemperature项目中，描述和应用于数据的高级沿轨扫描辐射计（AATSR）。LASPLAST反演公式为LST是一个只有最低点，双通道，分裂窗口算法，基于生物群落分类，部分植被，和跨跟踪水汽依赖性。它采用了全球强大的反演系数，使用高度采样的大气剖面。LASPLAST受益于适当的空间分辨率辅助信息和一种新的基于概率的云标记算法。对于第一次卫星衍生的LST产品，像素级的不确定性，其特征在于随机，局部相关，和系统的组件提供。新的GlobTemperature GT_ATS_2P版本1.0产品已针对1年的AATSR数据（2009年）进行了验证，这些数据来自黄金标准参考站：纳米比亚的Gobabeb和葡萄牙的埃武拉;七个地面辐射收支站和南部大平原的大气辐射测量站。这些数据显示了GT_ATS_2P版本1.0产品的平均绝对偏差，白天为1.00 K，夜间为1.08 K。数据来源方面的改进包括更高的准确性、完全可追溯的检索系数、量化的不确定性以及GT_ATS_2P产品新的统一格式中更详细的信息，这些改进将允许更有效地利用ATSR的历史LST数据记录以及海洋和陆地表面温度辐射计（SLSTR）提供的宝贵的近实时服务。
The Leicester Along-Track Scanning Radiometer (ATSR) and Sea and Land Surface Temperature Radiometer (SLSTR) Processor for LAnd Surface Temperature (LASPLAST) provides global land surface temperature (LST) products from thermal infrared radiance data. In this paper, the state-of-the-art version of LASPLAST, as deployed in the GlobTemperature project, is described and applied to data from the Advanced Along-Track Scanning Radiometer (AATSR). The LASPLAST retrieval formulation for LST is a nadir-only, two-channel, split-window algorithm, based on biome classification, fractional vegetation, and across-track water vapor dependences. It incorporates globally robust retrieval coefficients derived using highly sampled atmosphere profiles. LASPLAST benefits from appropriate spatial resolution auxiliary information and a new probabilistic-based cloud flagging algorithm. For the first time for a satellite-derived LST product, pixel-level uncertainties characterized in terms of random, locally correlated, and systematic components are provided. The new GlobTemperature GT_ATS_2P Version 1.0 product has been validated for 1year of AATSR data (2009) against in situ measurements acquired from gold standard reference stations: Gobabeb, Namibia, and Evora, Portugal; seven Surface Radiation Budget stations, and the Atmospheric Radiation Measurement station at Southern Great Plains. These data show average absolute biases for the GT_ATS_2P Version 1.0 product of 1.00K in the daytime and 1.08K in the nighttime. The improvements in data provenance including better accuracy, fully traceable retrieval coefficients, quantified uncertainty, and more detailed information in the new harmonized format of the GT_ATS_2P product will allow for more significant exploitation of the historical LST data record from the ATSRs and a valuable near-real-time service from the Sea and Land Surface Temperature Radiometers (SLSTRs).