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    Dataset: Extremely Wet Days in Rainy Season (r99prs)

    Alternate identifier:
    -
    Related identifier:
    (Is Part Of) 10.58160/99 - DOI
    Creator/Author:

    Contributors:
    (Project Leader)
    Title:
    Extremely Wet Days in Rainy Season (r99prs)
    Additional titles:
    (Translated Title) Jährlicher Grenzwert für Extremniederschlag in der Regensaison
    Description:
    (Technical Info) cdo -yearpctl,99 RRmask.nc out.nc
    (Other) Annual threshold for extreme heavy precipitation in rainy season: Let RRt be the daily precipitation amount on day t. For r99prs list all RRt of one year, but only in rainy season (which means rs1_ons≤t≤rs1_ces or rs2_ons≤t≤rs2_ces, for climatological rs1_ons, rs1_ces, rs2_ons, rs2_ces) and take the 99th percentile value.
    Keywords:
    Africa
    rainy season
    precipitation
    Related information:
    More information about the climate model data source and methods can be found in the text files of the head data set (DOI: 10.58160/99, see "IsPartOf-DOI").
    Language:
    English
    Publishers:
    University of Würzburg
    Production year:
    Subject areas:
    Geography
    Climatology
    Climate Modelling
    Agriculture
    Resource type:
    Dataset
    Data source:
    (Other) Climate Modell Data
    Software used:
    Resource processing
    Software:
    cdo - 2.2.0
    python - 3.6.15
    Alternative software:
    nco - 5.0.6
    Data processing:
    -
    Publication year:
    Rights holders:
    Funding:
    Federal Ministry of Education and Research - (Verbundprojekt WASCAL WRAP 2.0) 01LG2080A
    Name Storage Metadata Upload Action
    Status:
    Published
    Uploaded by:
    edd603174664ce0c5b2add544d5cc0a7
    Created on:
    Archiving date:
    2024-02-08
    Archive size:
    1.2 GB
    Archive creator:
    dd7b509482ad0a11773b217cbbcdf32f
    Archive checksum:
    b2bd99c3d19a448739b4ab91e326b46c (MD5)
    Embargo period:
    2024-05-31

    Geolocation