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A global long-term (1981–2000) land surface temperature product for NOAA AVHRR

Ma, Jin; Zhou, Ji; Göttsche, Frank-Michael; Liang, Shunlin; Wang, Shaofei; Li, Mingsong

Land surface temperature (LST) plays an important role in the research of climate change and various land surface processes. Before 2000, global LST products with relatively high temporal and spatial resolutions are scarce, despite a variety of operational satellite LST products. In this study, a global 0.05∘×0.05∘ historical LST product is generated from NOAA advanced very-high-resolution radiometer (AVHRR) data (1981–2000), which includes three data layers: (1) instantaneous LST, a product generated by integrating several split-window algorithms with a random forest (RF-SWA); (2) orbital-drift-corrected (ODC) LST, a drift-corrected version of RF-SWA LST; and (3) monthly averages of ODC LST. For an assumed maximum uncertainty in emissivity and column water vapor content of 0.04 and 1.0 g cm−2, respectively, evaluated against the simulation dataset, the RF-SWA method has a mean bias error (MBE) of less than 0.10 K and a standard deviation (SD) of 1.10 K. To compensate for the influence of orbital drift on LST, the retrieved RF-SWA LST was normalized with an improved ODC method. The RF-SWA LST were validated with in situ LST from Surface Radiation Budget (SURFRAD) sites and water temperatures obtained from the National Data Buoy Center (NDBC). ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000127446
Veröffentlicht am 10.12.2020
DOI: 10.5194/essd-12-3247-2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung (IMK)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 09.12.2020
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000127446
Erschienen in Earth system science data
Verlag Copernicus Publications
Band 12
Heft 4
Seiten 3247–3268
Vorab online veröffentlicht am 07.08.2020
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