RSMAS UMCM JMA Initial Condition Forecast Imagery

This data set contains RSMAS UMCM model (using JMA initial boundary conditions) forecast imagery over the Western Pacific Ocean. Products include 500mb height/RH, rain rate and sea level pressure, sea surface temperature and anomaly, significant wave height, and surface winds. Products are available every 6 hours to 84 hours. These images were developed by the University of Miami RSMAS and are in gif format.

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Questions? Email Resource Support Contact:

  • EOL Data Support
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2010-08-03T00:00:00Z
    End:  2010-10-18T23:59:59Z


Resource Type dataset
Temporal Range Begin 2010-08-03T00:00:00Z
Temporal Range End 2010-10-18T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 40.00000
Bounding Box South Lat 0.00000
Bounding Box West Long 115.00000
Bounding Box East Long 160.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format N/A
Standardized Resource Format UNDEFINED FORMAT
Asset Size 546 MB
Legal Constraints


Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Rosentiel School of Marine and Atmospheric Science (RSMAS), University of Miami
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2011-03-04T12:45:20
Digital Object Identifier (DOI)
Alternate Identifier 209.054
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2021-10-01T16:05:10Z
Metadata Record Identifier edu.ucar.eol::209.054
Metadata Language eng; USA
Suggested Citation Rosentiel School of Marine and Atmospheric Science (RSMAS), University of Miami. (2011). RSMAS UMCM JMA Initial Condition Forecast Imagery. 1.0. UCAR/NCAR - Earth Observing Laboratory. Accessed 09 December 2023.

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