NCEP–DOE AMIP-II reanalysis (R-2)
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The NCEP–DOE Atmospheric Model Intercomparison Project (AMIP-II) reanalysis is a follow-on project to the “50-year” (1948–present) NCEP–NCAR Reanalysis Project. NCEP–DOE AMIP-II re-analysis covers the “20-year” satellite period of 1979 to the present and uses an updated forecast model, updated data assimilation system, improved diagnostic outputs, and fixes for the known processing problems of the NCEP–NCAR reanalysis. Only minor differences are found in the primary analysis variables such as free atmospheric geopotential height and winds in the Northern Hemisphere extratropics, while significant improvements upon NCEP–NCAR reanalysis are made in land surface parameters and land–ocean fluxes. This analysis can be used as a supplement to the NCEP–NCAR reanalysis especially where the original analysis has problems. The differences between the two analyses also provide a measure of uncertainty in current analyses.
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Cites
Changes in the Onset of Spring in the Western United States
Cayan, D. R., Dettinger, M. D., Kammerdiener, S. A., Caprio, J. M., & Peterson, D. H. (2001) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(2001)082 · Cited by 906 · see citing works
Stratiform Precipitation in Regions of Convection: A Meteorological Paradox?
Houze, R. A. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078 · Cited by 809 · see citing works
The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R. E., Collins, W., Deaven, D. G., Gandin, L. S., Iredell, M., -, S. S., White, G., Woollen, J. S., et al. (2018) · Routledge eBooks · doi:10.4324/9781315793245-16 · Cited by 756 · see citing works
Self-citationA System Simulation Approach to Ensemble Prediction
Houtekamer, P. L., Lefaivre, L., Derome, J., Ritchie, H., & Mitchell, H. L. (1996) · Monthly Weather Review · doi:10.1175/1520-0493(1996)124 · Cited by 582 · see citing works
A Multiyear Global Surface Wind Velocity Dataset Using SSM/I Wind Observations
Atlas, R. M., Hoffman, R. N., Bloom, S. C., Jusem, J. C., & Ardizzone, J. V. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077 · Cited by 232 · see citing works
Maurer, E. P., O'Donnell, G. M., Lettenmaier, D. P., et al. (2001) · Journal of Geophysical Research Atmospheres · doi:10.1029/2000jd900828 · Cited by 168 · see citing works
Climatology, Persistence, and Their Linear Combination as Standards of Reference in Skill Scores
Murphy, A. H. (1992) · Weather and Forecasting · doi:10.1175/1520-0434(1992)007 · Cited by 120 · see citing works
Chaos, Strange Attractors, and Weather
Tsonis, A. A., & Elsner, J. B. (1989) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1989)070 · Cited by 116 · see citing works
The Aeronomy of Hydrogen in the Atmosphere of the Earth
Liu, S. C., & DONAHUE, T. M. (1974) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1974)031 · Cited by 108 · see citing works
Intercomparison and Validation of Ocean-Atmosphere Energy Flux fields,
Taylor, P. (2000) · Cited by 73 · see citing works
Surface water characteristics in NCEP global spectral model and reanalysis
Roads, J. O., Chen, S. ‐., Kanamitsu, M., et al. (1999) · Journal of Geophysical Research Atmospheres · doi:10.1029/98jd01166 · Cited by 71 · see citing works
Self-citationA Simple Model of Nonlinear Hadley Circulation with an ITCZ: Analytic and Numerical Solutions
Fang, M., & Tung, K. K. (1996) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1996)053 · Cited by 59 · see citing works
Assessment of land‐surface energy budgets from regional and global models
Berbery, E. H., Mitchell, K. E., Benjamin, S. G., et al. (1999) · Journal of Geophysical Research Atmospheres · doi:10.1029/1999jd900128 · Cited by 54 · see citing works
Global surface albedos estimated from ERBE data
STAYLOR, W. F., & Wilber, A. C. (1990) · Conference on Atmospheric Radiation · Cited by 18 · see citing works
Northern Hemisphere surface air temperature variations: 1851–1984.
Jones, P. D., Raper, S. C. B., Bradley, R. S., Diaz, H. F., Kellyo, P. M., & Wigley, T. M. L. (1986) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1986)025
Latif, M. (1999) · doi:10.1175/1520-0442(1999)012
Flagged first, then by citations
Research works printed but not linked: 3
- [5]5. Campana, K. A., Y.-T. Hou, K. E. Mitchell, S.-K. Yang, and R. Cullather, 1994: Improved diagnostic cloud parameterization in NMC's global model. Preprints, 10th Conf. on Numerical Weather Prediction, Port- land, OR, Amer. Meteor. Soc., 324-325.
- [25]25. Yang, S.-K., J. X. Wang, and A. J. Miller, 1998: A revisit of Global Energy Balance using NCEP/NCAR Re- analysis and Satellite Observations. Proc. First WCRP Int Conf. on Reanalysis, WMO TD No. 876, Silver Spring, MD, WMO, 37-40.
- [27]27. M. Kanamitsu, Y.-T. Hou, W. Ebisuzaki, and K. Campana, 2000: Upper tropospheric humidity from NCEP reanalysis and its impact on radiation fluxes. Proc. of the Second WCRP Int. Conf. on Reanalysis, WCRP-109, WMO/TD-985, Wokefield, Reading, United Kingdom, WMO, 95-98.
Cited by
Sorted by citations
Climate-induced variations in global wildfire danger from 1979 to 2013
Jolly, W. M., Cochrane, M. A., Freeborn, P. H., Holden, Z. A., Brown, T. J., Williamson, G. J., & Bowman, D. M. J. S. (2015) · Nature Communications · doi:10.1038/ncomms8537 · Cited by 2,200 · see citing works
Interannual variability in global biomass burning emissions from 1997 to 2004
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., & Arellano, A. F. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3423-2006 · Cited by 1,656 · see citing works
Kharin, V. V., Zwiers, F. W., Zhang, X., & Hegerl, G. C. (2007) · Journal of Climate · doi:10.1175/jcli4066.1 · Cited by 1,103 · see citing works
Magnitude of extreme heat waves in present climate and their projection in a warming world
Russo, S., Dosio, A., Graversen, R. G., Sillmann, J., Carrao, H., Dunbar, M. B., Singleton, A., Montagna, P., Barbola, P., & Vogt, J. V. (2014) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2014jd022098 · Cited by 754 · see citing works
Empirical evidence of mental health risks posed by climate change
Obradovich, N., Migliorini, R., Paulus, M. P., & Rahwan, I. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801528115 · Cited by 492 · see citing works
Climate models predict increasing temperature variability in poor countries
Bathiany, S., Dakos, V., Scheffer, M., & Lenton, T. M. (2018) · Science Advances · doi:10.1126/sciadv.aar5809 · Cited by 479 · see citing works
Causes and impacts of the 2005 Amazon drought
Zeng, N., Yoon, J.-H., Marengo, J. A., Subramaniam, A., Nobre, C. A., Mariotti, A., & Neelin, J. D. (2008) · Environmental Research Letters · doi:10.1088/1748-9326/3/1/014002 · Cited by 373 · see citing works
Climate change may alter human physical activity patterns
Obradovich, N., & Fowler, J. H. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0097 · Cited by 221 · see citing works
Dominant role of greenhouse-gas forcing in the recovery of Sahel rainfall.
Dong, B., & Sutton, R. (2015) · Nature Climate Change · doi:10.1038/nclimate2664 · Cited by 229 · see citing works
Arabian Sea tropical cyclones intensified by emissions of black carbon and other aerosols
Evan, A. T., Kossin, J. P., ‘Eddy’ Chung, C., & Ramanathan, V. (2011) · Nature · doi:10.1038/nature10552 · Cited by 213 · see citing works
Understanding the varied response of the extratropical storm tracks to climate change
O’Gorman, P. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1011547107 · Cited by 173 · see citing works
de Andrade, F. M., Coelho, C. A. S., & Cavalcanti, I. F. A. (2019) · Climate Dynamics · doi:10.1007/s00382-018-4457-z · Cited by 152 · see citing works
Balaguru, K., Foltz, G. R., & Leung, L. R. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077597 · Cited by 149 · see citing works
Very extreme seasonal precipitation in the NARCCAP ensemble: model performance and projections
Wehner, M. F. (2013) · Climate Dynamics · doi:10.1007/s00382-012-1393-1 · Cited by 137 · see citing works
Singh, D., Tsiang, M., Rajaratnam, B., & Diffenbaugh, N. S. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50543 · Cited by 137 · see citing works
Dynamic potential intensity: an improved representation of the ocean’s impact on tropical cyclones.
Balaguru, K., Foltz, G. R., Leung, L. R., Asaro, E. D., Emanuel, K. A., Liu, H., & Zedler, S. E. (2015) · Geophysical Research Letters · doi:10.1002/2015gl064822 · Cited by 95 · see citing works
Evolution of model systematic errors in the tropical Atlantic basin from coupled climate hindcasts.
Huang, B., Hu, Z.-Z., & Jha, B. (2007) · Climate Dynamics · doi:10.1007/s00382-006-0223-8 · Cited by 95 · see citing works
Galfi, V. M., & Lucarini, V. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.058701 · Cited by 62 · see citing works
Omondi, P., Ogallo, L. A., Anyah, R., Muthama, J. M., & Ininda, J. (2013) · International Journal of Climatology · doi:10.1002/joc.3578 · Cited by 60 · see citing works
The Fate of Land Evaporation—A Global Dataset
Link, A., van der Ent, R., Berger, M., Eisner, S., & Finkbeiner, M. (2020) · Earth System Science Data · doi:10.5194/essd-12-1897-2020 · Cited by 46 · see citing works
Sanuy, M., Rigo, T., Jiménez, J. A., & Llasat, M. C. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-3759-2021 · Cited by 34 · see citing works
- Authors
- Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J. J., Fiorino, M., & Potter, G. L.
- Affiliations
- Lawrence Livermore National Laboratory (US)
- Corresponding author
- Kanamitsu, Masao
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2002-11
- Volume
- 83
- Issue
- 11
- Pages
- 1631-1644
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W1989668498
- Cited by
- 5,771
- References
- 19
- Citations by year
- 2026: 115 · 2025: 206 · 2024: 263 · 2023: 292 · 2022: 367 · 2021: 323 · 2020: 364 · 2019: 361 · 2018: 310 · 2017: 325 · 2016: 320 · 2015: 339 · 2014: 307 · 2013: 314 · 2012: 302
- FWCI
- 34.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Bulletin of the American Meteorological Society (publishedVersion)
- Funders
- U.S. Department of Energy
- National Energy Research Scientific Computing Center
- National Oceanic and Atmospheric Administration
- Lawrence Livermore National Laboratory
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- NCEP/NCAR reanalysis, atmospheric reanalysis, data assimilation, land surface parameters, Northern Hemisphere extratropics, atmospheric winds, reanalysis uncertainty
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