Evaluation of Seven Different Atmospheric Reanalysis Products in the Arctic*
University of Washington · Johns Hopkins University Applied Physics Laboratory
Abstract
Abstract Atmospheric reanalyses depend on a mix of observations and model forecasts. In data-sparse regions such as the Arctic, the reanalysis solution is more dependent on the model structure, assumptions, and data assimilation methods than in data-rich regions. Applications such as the forcing of ice–ocean models are sensitive to the errors in reanalyses. Seven reanalysis datasets for the Arctic region are compared over the 30-yr period 1981–2010: National Centers for Environmental Prediction (NCEP)–National Center for Atmospheric Research Reanalysis 1 (NCEP-R1) and NCEP–U.S. Department of Energy Reanalysis 2 (NCEP-R2), Climate Forecast System Reanalysis (CFSR), Twentieth-Century Reanalysis (20CR),…
Citation impact
- FWCI
- 36.62
- Percentile
- 100%
- References
- 44
Authors
4- RWR. W. LindsayCorresponding
University of Washington, Johns Hopkins University Applied Physics Laboratory
- MWMark Wensnahan
University of Washington, Johns Hopkins University Applied Physics Laboratory
- ASAxel Schweiger
University of Washington, Johns Hopkins University Applied Physics Laboratory
- JZJinlun Zhang
University of Washington, Johns Hopkins University Applied Physics Laboratory
Topics & keywords
- Climate Forecast System
- Climatology
- Environmental science
- Forcing (mathematics)
- Sea ice
- Arctic
- Data assimilation
- Precipitation
- Life below water
Funding
- NSNational Science Foundation
- UDU.S. Department of Energy
- NANational Aeronautics and Space Administration
- NCNational Center for Atmospheric Research
- CFCanon Foundation for Scientific Research
- CICooperative Institute for Research in Environmental Sciences
- RDRural Development Administration
- ECEuropean Centre for Medium-Range Weather Forecasts
- NONational Oceanic and Atmospheric Administration
- CPClimate Program Office