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    Assessment and prediction of meteorological drought using machine learning algorithms and climate data

    New search for: En-Nagre, Khalid
    New search for: Aqnouy, Mourad
    New search for: Ouarka, Ayoub
    New search for: Ali Asad Naqvi, Syed
    New search for: Bouizrou, Ismail
    New search for: Tariq, Aqil
    New search for: Soufan, Walid
    New search for: Li, Wenzhao
    New search for: El-Askary, Hesham

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    Assessment and prediction of meteorological drought using machine learning algorithms and climate data

    New search for: En-Nagre, Khalid
    New search for: Aqnouy, Mourad
    New search for: Ouarka, Ayoub
    New search for: Ali Asad Naqvi, Syed
    New search for: Bouizrou, Ismail
    New search for: Tariq, Aqil
    New search for: Soufan, Walid
    New search for: Li, Wenzhao
    New search for: El-Askary, Hesham

    Access

    Download

    Assessment and prediction of meteorological drought using machine learning algorithms and climate data

    New search for: En-Nagre, Khalid
    New search for: Aqnouy, Mourad
    New search for: Ouarka, Ayoub
    New search for: Ali Asad Naqvi, Syed
    New search for: Bouizrou, Ismail
    New search for: Tariq, Aqil
    New search for: Soufan, Walid
    New search for: Li, Wenzhao
    New search for: El-Askary, Hesham

    Access

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    Access

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    Document information
    Title:

    Assessment and prediction of meteorological drought using machine learning algorithms and climate data

    Additional title:

    Climate Risk Management

    Contributors:

    En-Nagre, Khalid (author) / Aqnouy, Mourad (author) / Ouarka, Ayoub (author) / Ali Asad Naqvi, Syed (author) / Bouizrou, Ismail (author) / Eddine Stitou El Messari, Jamal (author) / Tariq, Aqil (author) / Soufan, Walid (author) / Li, Wenzhao (author) / El-Askary, Hesham (author)

    Published in:

    Climate Risk Management ; 45 ; 100630

    Publication date:

    2024-01-01

    ISSN:

    2212-0963

    DOI:

    https://doi.org/10.1016/j.crm.2024.100630

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Licence:

    http://creativecommons.org/licenses/by-nc/4.0/

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