CIMA Universidad de Buenos Aires RAMS Forecast Products (experiments 3,4)

This dataset contains the UBA-CIMA_rams Forecast model output data (both control and data files) for experiments 3 and 4 run by the Universidad de Bueno Aires for January 17, 2003 as part of the South American Low Level Jet Experiment (SALLJEX). SALLJEX was funded by NOAA/OGP, NSF(ATM0106776) and funding agencies from Brazil FAPESP Grant 01/13816-1) and Argentina (ANPCYT PICT 07-06671, UBACyT 055).

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    datahelp@eol.ucar.edu

Temporal Range

  • Begin:  2003-01-17T00:00:00Z
    End:  2003-01-19T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2003-01-17T00:00:00Z
Temporal Range End 2003-01-19T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 0.00000
Bounding Box South Lat -40.00000
Bounding Box West Long -85.00000
Bounding Box East Long -35.00000
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : acknowledgment.txt

Documentation #2 : readme_uba-cima_rams-exp3.txt
Additional Information N/A
Resource Format ASCII: ASCII Text (text/plain)
Binary (application/octet-stream)
Standardized Resource Format ASCII
Binary
Asset Size 55 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 N/A
Distributor N/A
Metadata Contact Name EOL Data Support
Metadata Contact Email datahelp@eol.ucar.edu
Metadata Contact Organization N/A

Author Kingtse Mo
Yanina Garcia Skabar
Vernon Kousky
Wesley Ebisuzaki
Publisher N/A
Publication Date 2005-10-27T10:24:15
Digital Object Identifier (DOI) https://doi.org/10.26023/B2NJ-CXDX-GF0J
Alternate Identifier 83.030
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2025-10-07T21:46:58Z
Metadata Record Identifier edu.ucar.eol::83.030
Metadata Language eng; USA
Suggested Citation Kingtse Mo, Yanina Garcia Skabar, Vernon Kousky, Wesley Ebisuzaki. (2005). CIMA Universidad de Buenos Aires RAMS Forecast Products (experiments 3,4). 1.0. https://doi.org/10.26023/B2NJ-CXDX-GF0J. Accessed 31 October 2025.

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