An Ensemble Mean and Evaluation of Third Generation Global Climate Reanalysis Models

• Main Authors: Jeffrey D. Auger, Sean D. Birkel, Kirk A. Maasch, Paul A. Mayewski, Keah C. Schuenemann
• Format: Article
• Language: English
• Published: MDPI AG 2018-06-01
• Series: Atmosphere
• Subjects: reanalysis models; temperature; precipitation; geopotential height
• Online Access: http://www.mdpi.com/2073-4433/9/6/236

We have produced a global ensemble mean of the four third-generation climate reanalysis models for the years 1981–2010. The reanalysis system models used in this study are National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR), European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis Interim (ERA-I), Japan Meteorological Agency (JMA) 55-year Reanalysis (JRA-55), and National Aeronautics and Space Administration (NASA) Modern-Era Retrospective Analysis for Research and Applications (MERRA). Two gridded datasets are used as a baseline, for temperature the Global Historical Climatology Network (GHCN), and for precipitation the Global Precipitation Climatology Centre (GPCC). The reanalysis ensemble mean is used here as a comparison tool of the four reanalysis members. Meteorological fields investigated within the reanalysis models include 2-m air temperature, precipitation, and 500-hPa geopotential heights. Comparing the individual reanalysis models to the ensemble mean, we find that each perform similarly over large domains but exhibit significant differences over particular regions.