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Assessment of Arctic Cloud Cover Anomalies in Atmospheric Reanalysis Products Using Satellite Data
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2016
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Source: Journal of Climate, 29(17), 6065-6083
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Journal Title:Journal of Climate
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Personal Author:
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NOAA Program & Office:NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; NCEI (National Centers for Environmental Information) ; JPSS (Joint Polar Satellite System Program Office) ; CIMSS (Cooperative Institute for Meteorological Satellite Studies)
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Description:Cloud cover is one of the largest uncertainties in model predictions of the future Arctic climate. Previous studies have shown that cloud amounts in global climate models and atmospheric reanalyses vary widely and may have large biases. However, many climate studies are based on anomalies rather than absolute values, for which biases are less important. This study examines the performance of five atmospheric reanalysis products—ERA-Interim, MERRA, MERRA-2, NCEP R1, and NCEP R2—in depicting monthly mean Arctic cloud amount anomalies against Moderate Resolution Imaging Spectroradiometer (MODIS) satellite observations from 2000 to 2014 and against Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) observations from 2006 to 2014.
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Source:Journal of Climate, 29(17), 6065-6083
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Rights Information:Other
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Compliance:Submitted
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