GSTDTAP  > 气候变化
DOI10.1002/2017JD027161
Global Land Surface Temperature From the Along-Track Scanning Radiometers
Ghent, D. J.1; Corlett, G. K.1; Goettsche, F. -M.2; Remedios, J. J.1
2017-11-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2017
卷号122期号:22
文章类型Article
语种英语
国家England; Germany
英文摘要

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).


英文关键词land-surface temperature AATSR retrieval algorithm
领域气候变化
收录类别SCI-E
WOS记录号WOS:000418084500020
WOS关键词HIGH-RESOLUTION RADIOMETER ; ESSENTIAL CLIMATE VARIABLES ; SPLIT-WINDOW ALGORITHM ; RADIATIVE-TRANSFER ; DATA ASSIMILATION ; TIME-SERIES ; EMISSIVITY RETRIEVAL ; SKIN TEMPERATURE ; ORBITAL DRIFT ; GEOV1 LAI
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/32861
专题气候变化
作者单位1.Univ Leicester, Dept Phys & Astron, Natl Ctr Earth Observat, Leicester, Leics, England;
2.Karlsruhe Inst Technol, Eggenstein Leopoldshafen, Germany
推荐引用方式
GB/T 7714
Ghent, D. J.,Corlett, G. K.,Goettsche, F. -M.,et al. Global Land Surface Temperature From the Along-Track Scanning Radiometers[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(22).
APA Ghent, D. J.,Corlett, G. K.,Goettsche, F. -M.,&Remedios, J. J..(2017).Global Land Surface Temperature From the Along-Track Scanning Radiometers.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(22).
MLA Ghent, D. J.,et al."Global Land Surface Temperature From the Along-Track Scanning Radiometers".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.22(2017).
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