ECMWF Tropical Cyclone Track Forecast Imagery

This data set contains long range monthly ECMWF ensemble model tropical cyclone track forecasts over the Western Pacific Ocean. Several types of products are included: week-by-week ensemble mean forecast tracks, member and mean forecast tracks for individual predicted systems, and wind speed exceedance probabilities and weighted means. These images were developed by NPS and are in png format.

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  • EOL Data Support
    datahelp@eol.ucar.edu
    UCAR/NCAR - Earth Observing Laboratory

Temporal Range

  • Begin:  2010-08-26T00:00:00Z
    End:  2010-10-19T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2010-08-26T00:00:00Z
Temporal Range End 2010-10-19T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 60.00000
Bounding Box South Lat 0.00000
Bounding Box West Long 100.00000
Bounding Box East Long 170.00000
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format PNG: Portable Network Graphics (PNG) (image/png)
Standardized Resource Format Image
Asset Size 28 MB
Legal Constraints

none
Access Constraints none
Software Implementation Language N/A

Resource Support Name EOL Data Support
Resource Support Email datahelp@eol.ucar.edu
Resource Support Organization UCAR/NCAR - Earth Observing Laboratory
Distributor UCAR/NCAR - Earth Observing Laboratory
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization UCAR/NCAR - Earth Observing Laboratory

Author Chuck Wash
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2011-03-09T10:54:35
Digital Object Identifier (DOI) https://doi.org/10.26023/16FT-ECXZ-ZC09
Alternate Identifier 209.035
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:49:48Z
Metadata Record Identifier edu.ucar.eol::209.035
Metadata Language eng; USA
Suggested Citation Chuck Wash. (2011). ECMWF Tropical Cyclone Track Forecast Imagery. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/16FT-ECXZ-ZC09. Accessed 28 November 2024.

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