2010
DOI: 10.1029/2009jd012760
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Surface temperature spatial and temporal variations in North America from homogenized satellite SMMR‐SSM/I microwave measurements and reanalysis for 1979–2008

Abstract: [1] We have developed procedures for deriving land surface temperature and homogenizing 30 years of daily microwave brightness temperatures from the NOAA/ NASA Nimbus 7 scanning multichannel microwave radiometer (SMMR) and Defense Meteorological Satellite Program Special Sensor Microwave/Imager (DMSP SSM/I) Pathfinder EASE-Grid database. Processing includes normalization of variable acquisition overpass time, removing the effects of changing satellite orbits, intercalibration of sensors, and filling gaps betwe… Show more

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Cited by 50 publications
(26 citation statements)
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References 61 publications
(96 reference statements)
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“…Filling the gaps in MODIS LST time series is necessary, either by temporal interpolation or by possibly combining them with temperature values obtained with coarser resolution passive microwave satellite data (e.g. Kohn and Royer, 2010;Royer and Poirier, 2010) or with data from reanalyses.…”
Section: Discussionmentioning
confidence: 99%
“…Filling the gaps in MODIS LST time series is necessary, either by temporal interpolation or by possibly combining them with temperature values obtained with coarser resolution passive microwave satellite data (e.g. Kohn and Royer, 2010;Royer and Poirier, 2010) or with data from reanalyses.…”
Section: Discussionmentioning
confidence: 99%
“…NUWRF atmospheric lateral boundary conditions (LBC) were also downscaled from NARR. NARR is known to be generally drier and warmer than the observations (e.g., Royer and Poirier, 2010;Kennedy et al, 2011). As in default and many WRF simulations, the green vegetation fraction (GVF) input data in this case were based on climatological monthly mean satellite normalized difference vegetation index (NDVI).…”
Section: Nuwrf Meteorological Simulations Using Different Land and Atmentioning
confidence: 99%
“…The product is based on the use of SSM/I-SSMIS 37 GHz measurements at both vertical and horizontal polarizations and is provided on a 25 km resolution EASE grid at a 1 h time step for the period 2000-2011. LST retrievals are based on the assumption of a relationship between surface emissivities at both polarizations (Royer and Poirier, 2010) which was calibrated at pixel scale using cloud-free independent LST data from MODIS instruments. The SSM/I-SSMIS and MODIS data were synchronized by fitting a diurnal cycle model built on skin temperature with reanalysis provided by the European Centre for Medium-Range Weather Forecasts (ECMWF).…”
Section: B2 Surface Soil Temperaturementioning
confidence: 99%