Climate data guide content with tag Atmospheric Reanalysis
Arctic System Reanalysis (ASR)
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The Arctic System Reanalysis is a multi-agency, university-led retrospective analysis (reanalysis) of the Greater Arctic. ASR is produced using high-resolution versions of the Polar Weather Forecast Model (PWRF) and the WRF-VAR and High Resolution Land Data Assimilation (HRLDAS) data assimilation systems that have been optimized for the Arctic. ASR is a comprehensive…
Experts contributing reviews
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Atmospheric Reanalysis: Overview & Comparison Tables
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Reanalysis a systematic approach to produce data sets for climate monitoring and research. Reanalyses are created via an unchanging ("frozen") data assimilation scheme and model(s) which ingest all available observations every 6-12 hours over the period being analyzed. This unchanging framework provides a dynamically consistent estimate of the climate state at each time…
Main variables and Earth System components
Atmosphere-
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Experts contributing reviews
- Dee, Dick, Fasullo, John, Shea, Dennis, Walsh, John
CERA-20C: ECMWF's Coupled Ocean-Atmosphere Reanalysis of the 20th Century
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The CERA-20C is a global, coupled reanalysis spanning 1901-2010 with a focus on low-frequency climate variability. Similar to ERA-20C, the surface observations assimilated include surface pressures from the International Surface Pressure Databank v3.2.6 and ICOADS v 2.5.1, and surface winds over the oceans from ICOADSv2.5.1. Upper-air and satellite data are…
Main variables and Earth System components
Atmosphere Multiple variables Cryosphere Sea Ice Concentration OceanExperts contributing reviews
- Laloyaux, Patrick
Climate Forecast System Reanalysis (CFSR)
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The CFSR is a third generation reanalysis product. It is a global, high resolution, coupled atmosphere-ocean-land surface-sea ice system designed to provide the best estimate of the state of these coupled domains over this period. The CFSR includes (1) coupling of atmosphere and ocean during the generation of the 6 hour guess field, (2) an interactive sea-ice model, and…
Main variables and Earth System components
Atmosphere Air Temperature Geopotential Height Precipitable water Ocean-
Formats
- GRIB
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Timestep
- Sub-daily, Monthly
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Domain
- Global
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Collections
- Climate Analysis Section (CAS) Data Catalog
Experts contributing reviews
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ERA-20C: ECMWF's atmospheric reanalysis of the 20th century (and comparisons with NOAA's 20CR)
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The ECMWF's first atmospheric reanalysis of the 20th Century, ERA-20C, provides a long, gridded dataset of many climate variables, spanning 1900-2010. Observations assimilated include surface pressures from the International Surface Pressure Databank v3.2.6 and ICOADS v 2.5.1, and surface winds over the oceans from ICOADSv2.5.1. Upper-air and satellite data…
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Timestep
- Sub-daily, Daily, Monthly
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Domain
- Global
Experts contributing reviews
- Poli, Paul
ERA-Interim
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Using a much improved atmospheric model and assimilation system from those used in ERA-40, ERA-Interim represents a third generation reanalysis. Several of the inaccuracies exhibited by ERA-40 such as too-strong precipitation over oceans from the early 1990's onwards and a too-strong Brewer-Dobson circulation in the stratosphere, were eliminated or significantly reduced…
Main variables and Earth System components
Atmosphere Air Temperature Geopotential Height Precipitable water Precipitation-
Timestep
- Sub-daily, Daily, Monthly
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Domain
- Global
Experts contributing reviews
- Dee, Dick
ERA-Interim: derived components
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Era-Interim data are used to derive monthly mass, moisture and energy budget products. Each term is available. Atmospheric energy, mass, and moisture budgets can be computed by vertically integrating reanalysis fields and employing suitable corrections (e.g. mass). The budgets are uniquely valuable for interpreting the climate's mean state and its variability. They can…
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Formats
- netCDF
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Timestep
- Monthly
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Domain
- Global
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Collections
- Climate Analysis Section (CAS) Data Catalog
Experts contributing reviews
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ERA5 atmospheric reanalysis
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ERA5, the successor to ERA-Interim, provides global, hourly estimates of atmospheric, ocean-wave and land-surface variables, at a horizontal resolution of 31 km and 137 levels in the vertical from the surface to 0.01 hPa (about 80km). Produced by ECMWF on behalf of the European Union’s Copernicus Climate Change Service (C3S), ERA5 extends from 1940 onwards. Each day one…
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Timestep
- Sub-daily, Daily, Monthly
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Domain
- Global
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Collections
- Diagnostic Data Sets
Experts contributing reviews
- Hersbach, Hans
JRA-55
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Spanning 1958-present, JRA-55 is the longest third-generation reanalysis that uses the full observing system (in contrast, products like ERA-20C and NOAA 20CR assimilate a very limited set of observations while NCEP R1 uses an antiquated model and assimilation scheme). Compared to the previous generation Japanese Meteorological Agency (JMA) reanalysis, JRA-25, JRA-…
Main variables and Earth System components
Atmosphere Air Temperature Geopotential Height Precipitable waterExperts contributing reviews
- Kobayashi, Shinya
NASA MERRA
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The Modern Era Retrospective-Analysis for Research and Applications (MERRA) was undertaken by NASA’s Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA’s Earth Observing System satellites into a climate context and to improve upon the hydrologic cycle represented in earlier generations of reanalyses. MERRA was generated…
Main variables and Earth System components
Atmosphere Air Temperature Geopotential Height Precipitable water Water Vapor-
Timestep
- Sub-daily, Monthly
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Domain
- Global
Experts contributing reviews
- N/A
NASA's MERRA2 reanalysis
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The Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) is a global atmospheric reanalysis produced by the NASA Global Modeling and Assimilation Office (GMAO). It spans the satellite observing era from 1980 to the present. The goals of MERRA-2 are to provide a regularly-gridded, homogeneous record of the global atmosphere, and to…
Main variables and Earth System components
Atmosphere Aerosols Air Temperature Geopotential Height Precipitable waterExperts contributing reviews
- Bosilovich, Michael, Cullather, Richard
NCEP NARR
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A high resolution (32km x 29 pressure levels) data set focused upon the North American Region. Relative to the NCEP-DOE (R2) it has a much improved land-hydrology, diurnal cycle and land-atmosphere interaction. As such, it can be considered a second generation reanalysis. A unique feature is the direct assimilation of observed precipitation.
Main variables and Earth System components
Atmosphere Air Temperature Geopotential Height Precipitable water Land-
Formats
- GRIB
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Timestep
- Climatology, Sub-daily, Monthly
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Domain
- North America
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Collections
- N/A
Experts contributing reviews
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NCEP-NCAR (R1): An Overview
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NCEP-NCAR (R1) is the original reanalysis effort. It uses a frozen global state-of-the-art global data assimilation system (as of 11 January 1995). The original database was enhanced (additional, quality checked datasets) by NCAR's Data Support Section. Originally planned to span 1957-96 ("40-Year Reanalysis Project"), it was extended back to 1948 and continues to this…
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Timestep
- Sub-daily, Daily, Monthly
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Domain
- Global
Experts contributing reviews
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NOAA 20th-Century Reanalysis, Version 2 and 2c
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The Twentieth Century Reanalysis (20CR) provides a comprehensive global atmospheric circulation data set spanning 1850-2014. Its chief motivation is to provide an observational validation data set, with quantified uncertainties, for assessing climate model simulations of the 20th century, with emphasis on the statistics of daily weather. The analyses are generated by…
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Timestep
- Sub-daily, Daily, Monthly
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Domain
- Global
Experts contributing reviews
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Simplistic Overview of Reanalysis Data Assimilation Methods
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Data assimilation is the process of combining observations from a wide variety of sources and forecast output from a weather prediction model. The resulting analysis is considered to be the 'best' estimate of the state of the atmosphere at a particular instant in time. The process of combining the observational and model information is accomplished within a Bayesian…
Main variables and Earth System components
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