Journal
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume 122, Issue 22, Pages 12167-12193Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2017JD027161
Keywords
land-surface temperature; AATSR; retrieval algorithm
Categories
Funding
- European Space Agency within the framework of the GlobTemperature project under the Data User Element of ESA's Fourth Earth Observation Envelope Programme
- NERC
- European Commission
- European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)
- Karlsruhe Institute of Technology (KIT)
- NERC [NE/I006389/1, NE/I030100/1, NE/K015982/1, nceo020001, nceo020005, NE/H00386X/1] Funding Source: UKRI
- Natural Environment Research Council [NE/H00386X/1, nceo020001, NE/K015982/1, nceo020005, NE/I030100/1, NE/I006389/1] Funding Source: researchfish
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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).
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