Oct 2, 2015

Meteosat Land Surface Temperature Climate Data Record: Achievable Accuracy and Potential Uncertainties

Anke Duguay-Tetzlaff, Virgílio A. Bento, Frank M. Göttsche, Reto Stöckli, João P. A. Martins, Isabel Trigo, Folke Olesen, Jędrzej S. Bojanowski, Carlos da Camara, and Heike Kunz
Remote Sensing
  • States that long-term LST climate data records with a high temporal and spatial resolution are useful for climate monitoring and climate applications
  • States the European Organization for the Exploitation of Meteorological Satellites’ (EUMETSAT) Meteosat satellites provide the unique opportunity to compile a 30+ year land surface temperature (LST) climate data record
  • Compares the performance of two single-channel LST retrieval algorithms: (1) A physical radiative transfer-based mono-window (PMW); and (2) a statistical mono-window model (SMW)
  • Assesses the performance of the single-channel algorithms using a database of synthetic radiances for a wide range of atmospheric profiles and surface variables
  • Evaluates the two single-channel algorithms against the commonly-used generalized split-window (GSW) model
  • States the three algorithms are verified against more than 60,000 LST ground observations with dry to very moist atmospheres (total column water vapor (TCWV) 1–56 mm)
  • Finds that except for very moist atmospheres (TCWV > 45 mm), results show that Meteosat single-channel retrievals match those of the GSW algorithm by 0.1–0.5 K
  • Outlines that it is possible to put realistic uncertainties on Meteosat single-channel LSTs, except for very moist atmospheres: simulated theoretical uncertainties are within 0.3–1.0 K of the in situ root mean square differences for TCWV < 45 mm