JRA-55C: Monthly Means and Variances

As a subset of the Japanese 55-year Reanalysis (JRA-55) project, the Meteorological Research Institute of the Japan Meteorological Agency has conducted a global atmospheric reanalysis that assimilates only conventional surface and upper air observations, with no use of satellite observations, using the same data assimilation system as the JRA-55. The project, named the JRA-55 Conventional (JRA-55C), aims to produce a more homogeneous dataset over a long period, unaffected by changes in historical satellite observing systems. The dataset is intended to be suitable for studies of climate change or multidecadal variability. The reanalysis period of JRA-55C is from November 1972 to December 2012. The JMA recommends the use of JRA-55 to extend JRA-55C back to January 1958. The Data Support Section at NCAR has downloaded all JRA-55C data. The entire archive has been reorganized into single parameter time series, and model resolution data has been transformed to a regular Gaussian grid. The JRA-55C products are currently being made accessible to RDA registered users of JRA-55, and will appear incrementally via the Data Access tab.

To Access Resource:

Questions? Email Resource Support Contact:

  • datahelp@ucar.edu

Temporal Range

  • Begin:  1972-11-01T0000+00
    End:  2013-01-01T0000+00

Keywords

Resource Type dataset
Temporal Range Begin 1972-11-01T0000+00
Temporal Range End 2013-01-01T0000+00
Temporal Resolution N/A
Bounding Box North Lat 90.0
Bounding Box South Lat -90.0
Bounding Box West Long -180.0
Bounding Box East Long 180.0
Spatial Representation grid
Spatial Resolution 1.25 degree
0.563 degree
2.5 degree
0.562 degree
Related Links

Related Resource #1 : JRA-55 Quality Issues

Related Resource #2 : JRA-55 Project
Additional Information N/A
Resource Format WMO GRIB1
Standardized Resource Format GRIB
Asset Size 831910.169 MB
Legal Constraints

When accessing the JRA data, you agree to the following Terms and Conditions:

a. Conditions of use

   * Individual users must register their name, affiliation and email address with NCAR before access to datasets will be permitted.
   * The source of the datasets should be duly acknowledged in scientific and technical papers, publications, press releases and other communications regarding the datasets. Example: The dataset used for this study is from the Japanese 55-year Reanalysis Using Conventional Data Only (JRA-55C) project carried out by the Japan Meteorological Agency (JMA).
   * Individual users should provide JMA (jra@met.kishou.go.jp) with a copy of their scientific or technical papers, publications, press releases or other communications regarding these datasets.

b. Disclaimer

   * Although JMA has taken the utmost care in creating the datasets, it assumes no responsibility regarding their reliability. JMA is not responsible for any damage that may result from their use.

c. Intellectual property

   * The intellectual property rights of the datasets belong exclusively to JMA.

The complete JMA and NCAR agreement for JRA-55 (and JRA-55C) may be viewed via the Documentation tab.
Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email datahelp@ucar.edu
Resource Support Organization N/A
Distributor NSF NCAR Geoscience Data Exchange
Metadata Contact Name N/A
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization NSF NCAR Geoscience Data Exchange

Author Japan Meteorological Agency, Japan
Publisher NSF National Center for Atmospheric Research
Publication Date 2015-07-24
Digital Object Identifier (DOI) https://doi.org/10.5065/D6C827B7
Alternate Identifier d628003
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-09T01:36:37Z
Metadata Record Identifier edu.ucar.gdex::d628003
Metadata Language eng; USA
Suggested Citation Japan Meteorological Agency, Japan. (2015). JRA-55C: Monthly Means and Variances. NSF National Center for Atmospheric Research. https://doi.org/10.5065/D6C827B7. Accessed 09 October 2025.

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