Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data: Fid-Bau Portal

Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data

Zolfaghari, Ali Asghar / Raeesi, Maryam / Longo-Minnolo, Giuseppe / Consoli, Simona / Dyck, Miles

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Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data

Zolfaghari, Ali Asghar / Raeesi, Maryam / Longo-Minnolo, Giuseppe / Consoli, Simona / Dyck, Miles

Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data

Zolfaghari, Ali Asghar / Raeesi, Maryam / Longo-Minnolo, Giuseppe / Consoli, Simona / Dyck, Miles

Zugriff

Download

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Titel:

Daily reference evapotranspiration prediction in Iran: A machine learning approach with ERA5-land data

Weitere Titelangaben:

Journal of Hydrology: Regional Studies

Beteiligte:

Zolfaghari, Ali Asghar (Autor:in) / Raeesi, Maryam (Autor:in) / Longo-Minnolo, Giuseppe (Autor:in) / Consoli, Simona (Autor:in) / Dyck, Miles (Autor:in)

Erschienen in:

Journal of Hydrology: Regional Studies ; 59 ; 102343

Erscheinungsdatum:

01.06.2025

ISSN:

2214-5818

DOI:

https://doi.org/10.1016/j.ejrh.2025.102343

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

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

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