NCEP–DOE AMIP-II Reanalysis (R-2)
By M. Kanamitsu, W. Ebisuzaki, J. Woollen, Shi-Keng Yang, J. Hnilo, M. Fiorino, G. Potter. 2002
5,720 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e649460ac5e98bb820ee120561d4ca5c877313e9
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Citations in the corpus
- Impacts of land use and land cover change on regional climate: a case study in the agro-pastoral transitional zone of China (2015, methodology): “The data used for OMR analyses include the gridded reanalysis data described by Kanamitsu et al (2002) and station-based observations obtained from the data set described above.”
- Major Characteristics of Southern Ocean Cloud Regimes and Their Effects on the Energy Budget (2011, methodology): “These variables are derived from the 6-hourly National Centers for Environmental Prediction–U.S. Department of Energy Atmospheric Model Intercomparison Project Reanalysis, phase 2, dataset (hereinafter NCEP-II), at 2.58 horizontal resolution on 17 vertical levels (Kanamitsu et al. 2002).”
- Global water vapor variability and trend from the latest 36 year (1979 to 2014) data of ECMWF and NCEP reanalyses, radiosonde, GPS, and microwave satellite (2016, methodology): “The NCEP/DOE AMIP-II Reanalysis (R-2) is generated using an improved physics model and more consistent observations [Kanamitsu et al., 2002].”
- The Twentieth Century Reanalysis Project (2009, background): “…Kalnay et al., 1996); the 1957–2002 ECMWF reanalysis (ERA-40; Uppala et al., 2005); the 1979–present NCEP–Department of Energy (DOE) reanalysis dataset (Kanamitsu et al., 2002); the 1979–present Japan Meteorological Agency reanalysis Archive 25 (Onogi et al., 2007); the 1979–present NASA Modern…”
- How are seasonal prediction skills related to models’ performance on mean state and annual cycle? (2010, methodology): “the precipitation and atmospheric variables from the NCEP-Department of Energy (DOE) reanalysis 2 (NCEPR2) data (Kanamitsu et al. 2002), and (4) the precipitation data from ECMWF 40-year Reanalysis (ERA-40) data (Uppala et al.”
- An Assessment of the CFS Real-Time Seasonal Forecasts (2010, methodology): “These cold T2M anomalies are found to be related to the initial soil moisture anomalies from the NCEP Reanalysis-2 (R2), which produced the largest positive soil moisture anomalies over central North America during 2005–08.”
- Importance of Resolving Kuroshio Front and Eddy Influence in Simulating the North Pacific Storm Track (2017, background): “Some of the recent progress in understanding the role of the sharp SST gradient along oceanic fronts in large-scale atmospheric circulation can be found in recent reviews (Kelly et al. 2010; Kwon et al. 2010).”
- The Role of Atmosphere Feedbacks during ENSO in the CMIP3 Models. Part III: The Shortwave Flux Feedback (2012, neutral): “• NCEP2: an update of the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis, covering 1979-2009 (Kanamitsu et al. 2002).”
- Predictions of Nino3.4 SST in CFSv1 and CFSv2: a diagnostic comparison (2013, background): “The skill of CFSv2 is even found competitive with that of ECMWF system 4 for winter climate predictions over North America, despite its relative shortcomings in predictions of ENSO and the globally averaged tropical climate (Kim et al. 2012).”