PARSIVEL Disdrometer Data

Data from the Parsivel disdrometer that was deployed on Yonaguni (a Japanese island to the east of Taiwan) for the PRECIP (Prediction of Rainfall Extremes Campaign in the Pacific) campaign from June to August 2022. It was deployed near the CSU SEA-POL dual-polarization radar to obtain drop-size distribution measurements in Mei-yu fronts, thunderstorms, and tropical cyclones.

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Temporal Range

  • Begin:  2022-05-29T00:00:00Z
    End:  2022-08-11T23:59:59Z

Keywords

Resource Type dataset
Temporal Range Begin 2022-05-29T00:00:00Z
Temporal Range End 2022-08-11T23:59:59Z
Temporal Resolution N/A
Bounding Box North Lat 24.47000
Bounding Box South Lat 24.47000
Bounding Box West Long 123.01000
Bounding Box East Long 123.01000
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Documentation #1 : PRECIP_PARSIVEL_README.pdf

Additional Information N/A
Resource Format NetCDF: Network Common Data Form (application/x-netcdf)
Standardized Resource Format NetCDF
Asset Size 8 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 Ian C. Cornejo
Kristen L. Rasmussen
Chaehyeon Chelsea Nam
Publisher UCAR/NCAR - Earth Observing Laboratory
Publication Date 2023-07-13T19:36:35
Digital Object Identifier (DOI) https://doi.org/10.26023/68DF-F1JW-8H04
Alternate Identifier 621.006
Resource Version 1.0
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-02-07T22:45:03Z
Metadata Record Identifier edu.ucar.eol::621.006
Metadata Language eng; USA
Suggested Citation Ian C. Cornejo, Kristen L. Rasmussen, Chaehyeon Chelsea Nam. (2023). PARSIVEL Disdrometer Data. 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.26023/68DF-F1JW-8H04. Accessed 22 April 2024.

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