Remote Sensing · 2012 · 49 citations · 39 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ScienceClimatologyRemote SensingClimate ChangeLand Surface ModelingSatellite Image InterpretationSatellite SensorsSurface Temperature RetrievalThermal Remote SensingArctic ClimateLand Surface Temperature MappingLand Surface Temperature RetrievalsPassive Microwave SensingPassive Microwave SensorsRemote Sensing UncertaintyUncertainty MapsValidation With In Situ Measurements
Models and observations show that the Arctic is experiencing the most rapid changes in global near-surface air temperature. We developed novel EASE-grid Level 3 (L3) land surface temperature (LST) products from Level 2 (L2) AATSR and MODIS data to provide weekly, monthly and annual LST means over the pan-Arctic region at various grid resolutions (1–25 km) for the past decade (2000–2010). In this paper, we provide: (1) a review of previous validation of MODIS/AATSR L2; (2) a description of the processing chain of L3 products; (3) an assessment of the 25 km products uncertainty, and; (4) a quantification of the bias introduced by over-representing clear-sky days in MODIS L3 products. In addition, we generated uncertainty maps by comparing L3 products with LST from passive microwave sensors (AMSR-E and SSM/I) and the North American Regional Reanalysis (NARR). Results show a close correspondence between MODIS and AATSR monthly products with a mean-difference (MD) of −1.1 K. Comparing L3 products with NARR indicates a close agreement in summer and a systematic bias in winter, which is entirely negative with respect to MODIS L3 (MD: −3.6, Min: −6.8, Max: −1 K). Comparing monthly averaged MODIS L3 to NARR clear-sky to quantify over-representing clear-sky days indicates a decrease of winter and an increase of summer difference compared to NARR all-sky. Finally, we provide suggestions to improve LST retrieval over Arctic regions.
39
North American Regional Reanalysis
Fedor Mesinger, Geoff DiMego, Eugenia Kalnay et al. · Bulletin of the American Meteorological Society · 2006 · 3.5K citations · Full text