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    Datenpaket: Climate Indicators: Standardized Precipitation Evapotranspiration Index (spei)

    Alternativer Identifier:
    -
    Verwandter Identifier:
    (Is Part Of) 10.58160/gGzexcbDikobkyvK - DOI
    (Is Derived From) 10.58160/120 - DOI
    Ersteller/in:
    Ziegler, Katrin https://orcid.org/0000-0002-9152-3135 [University of Würzburg]

    Abel, Daniel https://orcid.org/0000-0001-9663-3248 [University of Würzburg]
    Beitragende:
    (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]
    Titel:
    Climate Indicators: Standardized Precipitation Evapotranspiration Index (spei)
    Weitere Titel:
    (Translated Title) Dürreindex
    (Alternative Title) A drought measure specified using precipitation and evaporation
    Beschreibung:
    (Other) Standardized Precipitation Evapotranspiration Index: A precipitation and evapotranspiration(Hargreaves) anomaly is considered relativ to the mean of a reference period (1981-2010) and based on the underlying statistical distribution (Gamma). The anomlies are considered over different months (3, 6, 9, 12). (More information under: https://climate-indices.readthedocs.io/en/latest/)
    Schlagworte:
    Africa
    drought
    Zugehörige Informationen:
    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").
    Sprache:
    Englisch
    Herausgeber/in:
    University of Würzburg
    Erstellungsjahr:
    Fachgebiet:
    Geography
    Agriculture
    Climatology
    Climate Modelling
    Objekttyp:
    Dataset
    Datenquelle:
    (Other) Climate Modell Data
    Verwendete Software:
    Software für Datenbearbeitung
    Software:
    cdo - 1.9.7.1
    python - 3.6.15
    Alternative Software:
    nco - 5.0.6
    Datenverarbeitung:
    part of the calculation with python package: https://github.com/monocongo/climate_indices
    Erscheinungsjahr:
    Rechteinhaber/in:
    Förderung:
    Federal Ministry of Education and Research - (Verbundprojekt WASCAL WRAP 2.0) 01LG2080A
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    edd603174664ce0c5b2add544d5cc0a7
    Erstellt am:
    Archivierungsdatum:
    2024-09-24
    Archivgröße:
    710,3 MB
    Archiversteller:
    851297a882a1411f214c593698f6a7b2
    Archiv-Prüfsumme:
    0333d066c413185722b262ce1271a1a1 (MD5)
    Embargo-Zeitraum:
    -

    Standort