The NCEP/NCAR 40-Year Reanalysis Project

By Eugenia Kalnay, M. Kanamitsu, R. Kistler, William D. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen and 12 more. 1996

The NCEP and NCAR are cooperating in a project (denoted “reanalysis”) to produce a 40-year record of global analyses of atmospheric fields in support of the needs of the research and climate monitoring communities. This effort involves the recovery of land surface, ship, rawinsonde, pibal, aircraft, satellite, and other data; quality controlling and assimilating these data with a data assimilation system that is kept unchanged over the reanalysis period 1957–96. This eliminates perceived climate jumps associated with changes in the data assimilation system. The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible. The data assimilation and the model used are identical to the global system implemented operationally at the NCEP on 11 January 1995, except that the horizontal resolution is T62 (about 210 km). The database has been enhanced with many sources of observations not available in real time for operations, provided by differe...

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Citations in the corpus

Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, methodology): “html, is a subset of a reanalysis data set, incorporating observations and numerical weather prediction model output from 1948 to date (Kalnay et al., 1996).”
Machine Learning for the Geosciences: Challenges and Opportunities (2017, methodology): “ferent spatial and temporal resolutions using simple interpolation methods or more advanced methods based on physical understanding such as reanalysis techniques [30].”
A diagram for evaluating multiple aspects of model performance in simulating vector fields (2016, unknown): “, NECP/NCAR Reanalysis 1 (Kalnay et al., 1996), NCEP-DOE Reanalysis 2 (Kanamitsu et al.”
The establishment of a pelagic Sargassum population in the tropical Atlantic: Biological consequences of a basin-scale long distance dispersal event (2020, methodology): “5° degree of spatial resolution, were obtained from the National Centers for Environmental Prediction (NCEP)/ National Center for Atmospheric Research (NCAR) reanalysis (Kalnay et al., 1996; Kistler et al., 2001).”
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (2022, methodology): “ERA5 is an atmospheric reanalysis [Kalnay et al., 1996] dataset and is the result of an optimal combination of observations from various measurement sources and the output of a numerical model using a Bayesian estimation process called data-assimilation [Kalnay, 2003].”
The unprecedented coupled ocean-atmosphere summer heatwave in the New Zealand region 2017/18: drivers, mechanisms and impacts (2019, methodology): “Monthly mean sea level pressure (MSLP) and 500 hPa geopotential height fields were obtained from the NCEP/NCARReanalysis (Kalnay et al 1996), and from the ERA-Interim reanalysis (Dee et al 2011).”
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, background): “html, is a subset of a reanalysis data set, incorporating observations and numerical weather prediction model output from 1948 to date (Kalnay et al., 1996).”
Quantifying the influence of global warming on unprecedented extreme climate events (2017, background): “To explore the potential to quantify the influence of global warming on additionalvariablesbeyondtemperatureandprecipitation,wealsoanalyzeseaicedatafromref.52,andgeopotentialheightpatternsandprecipitablewater fromref.53.”