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    Dataset: Crop Indicators: Soybean_L

    Alternate identifier:
    -
    Related identifier:
    (Is Part Of) 10.58160/gGzexcbDikobkyvK - DOI
    (Is Derived From) 10.58160/121 - DOI
    (Is Derived From) 10.58160/122 - DOI
    (Is Derived From) 10.58160/129 - DOI
    Creator/Author:
    Ziegler, Katrin https://orcid.org/0000-0002-9152-3135 [University of Würzburg]

    Abel, Daniel https://orcid.org/0000-0001-9663-3248 [University of Würzburg]
    Contributors:
    (Project Leader)
    Paeth, Heiko https://orcid.org/0000-0001-8145-4706 [University of Würzburg]

    (Project Member)
    Thiel, Michael https://orcid.org/0000-0001-8350-0841 [University of Würzburg]

    (Project Member)
    Otte, Insa https://orcid.org/0000-0001-9704-9668 [University of Würzburg]
    Title:
    Crop Indicators: Soybean_L
    Additional titles:
    (Translated Title) Agrarindizes für die Klasse 'Soybean_L' zu Wasserbedarf (cwn), Wasserverfügbarkeit (wa) und Bewässerungsbedarf (ir) in vier verschiedenen Wachstumsphasen
    (Alternative Title) Indices for class 'Soybean_L' of crop water need, water availability, and irrigation requirement of plants for four different plant stages
    Description:
    (Other) Crop water need: Let ET0i be the daily potential evapotranspiration [mm] for day i, and Kc(pl,ph) the crop factor per plant pl and phase ph, and s(pl,ph) and e(pl,ph) the corresponding start and end day of pl and ph then CWN(pl,ph) is the daily average of the product of Kc(pl,ph) and ET0i, for s(pl,...
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    Keywords:
    Africa
    crop
    precipitation
    irrigation
    water balance
    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/gGzexcbDikobkyvK, see "IsPartOf-DOI").
    Language:
    English
    Publishers:
    University of Würzburg
    Production year:
    Subject areas:
    Geography
    Agriculture
    Climatology
    Climate Modelling
    Resource type:
    Dataset
    Data source:
    (Other) Climate Modell Data
    Software used:
    Resource processing
    Software:
    python - 3.6.15
    gfortran - 7.5.0
    cdo - 2.2.0
    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:
    2024-09-24
    Archive size:
    2.1 GB
    Archive creator:
    851297a882a1411f214c593698f6a7b2
    Archive checksum:
    f0e5661afca6848d0b2896689995ee1f (MD5)
    Embargo period:
    -

    Geolocation