Brazil Sao Borja OTT Parsivel Disdrometer Data

This data set contains one minute resolution droplet size distribution data from the INPE (Instituto Nacional de Pesquisas Espaciais) OTT Parsivel disdrometer that was located in Sao Borja, Brazil during the RELAMPAGO (Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations) field season.

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Temporal Range

  • Begin:  2018-11-01T00:00:00Z
    End:  2018-12-13T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2018-11-01T00:00:00Z
Temporal Range End 2018-12-13T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat -28.63520
Bounding Box South Lat -28.63520
Bounding Box West Long -56.00010
Bounding Box East Long -56.00010
Spatial Representation grid
Spatial Resolution N/A
Related Links

Documentation #1 : OTT_Parsivel_manual_EN.pdf

Documentation #2 : Readme_OTT_Parsivel_disdrometer_Brazil.pdf
Additional Information N/A
Resource Format ASCII: ASCII Text (text/plain)
Standardized Resource Format ASCII
Asset Size 424 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 Bruno Ribeiro
Luiz Machado
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2019-05-13T15:23:54
Digital Object Identifier (DOI) https://doi.org/10.26023/PXYA-Z1XK-MP0W
Alternate Identifier 553.016
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:44:05Z
Metadata Record Identifier edu.ucar.eol::553.016
Metadata Language eng; USA
Suggested Citation Bruno Ribeiro, Luiz Machado. (2019). Brazil Sao Borja OTT Parsivel Disdrometer Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/PXYA-Z1XK-MP0W. Accessed 24 November 2024.

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