Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD027161 |
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 |
ISSN | 2169-897X |
EISSN | 2169-8996 |
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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