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The NCEP/NCAR 40-Year Reanalysis Project
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
The NCEP–NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation
The National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) have cooperated in a project (denoted “reanalysis”) to produce a retroactive record of
In 1997, during the late stages of production of NCEP–NCAR Global Reanalysis (GR), exploration of a regional reanalysis project was suggested by the GR project's Advisory Committee, “particularly if
Ensemble Forecasting at NMC: The Generation of Perturbations
The new method, “breeding of growing modes”, or BGM, consists of one additional, perturbed short-range forecast, introduced on top of the regular analysis in an analysis cycle, to generate growing modes of the atmosphere.
AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems
Based on the excellent radiometric and spectral performance demonstrated by AIRS during prelaunch testing, it is expected the assimilation of AIRS data into the numerical weather forecast to result in significant forecast range and reliability improvements.
Impact of urbanization and land-use change on climate
The difference between trends in observed surface temperatures in the continental United States and the corresponding trends in a reconstruction of surface temperatures determined from a reanalysis of global weather over the past 50 years is used to estimate the impact of land-use changes on surface warming.
Bulletin of the American Meteorological Society
Manuscript Number: BAMS-D-14-00176 Full Title: MED-CORDEX initiative for Mediterranean Climate studies. Article Type: Article Corresponding Author: Paolo Ruti, PhD ENEA Roma, ITALY Corresponding
Ensemble Forecasting at NCEP and the Breeding Method
The breeding method has been used to generate perturbations for ensemble forecasting at the National Centers for Environmental Prediction (formerly known as the National Meteorological Center) since
A Local Ensemble Kalman Filter for Atmospheric Data Assimilation
A new, local formulation of the ensemble Kalman Filter approach for atmospheric data assimilation based on the hypothesis that, when the Earth's surface is divided up into local regions of moderate size, vectors of the forecast uncertainties in such regions tend to lie in a subspace of much lower dimension than that of the full atmospheric state vector of such a region.
Atmospheric Modeling, Data Assimilation and Predictability
  • E. Kalnay
  • Environmental Science, Computer Science
  • 1 November 2002
This work focuses on the post processing of numerical model output to obtain station weather forecasts and the parameterizations of subgrid-scale physical processes.