Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models: Fid-Bau Portal

Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models

Abdallah, Mohammed / Mohammadi, Babak / H. Zaroug, Modathir A. / Omer, Abubaker / Cheraghalizadeh, Majid / Eldow, Mohamed E.E. / Duan, Zheng

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Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models

Abdallah, Mohammed / Mohammadi, Babak / H. Zaroug, Modathir A. / Omer, Abubaker / Cheraghalizadeh, Majid / Eldow, Mohamed E.E. / Duan, Zheng

Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models

Abdallah, Mohammed / Mohammadi, Babak / H. Zaroug, Modathir A. / Omer, Abubaker / Cheraghalizadeh, Majid / Eldow, Mohamed E.E. / Duan, Zheng

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Titel:

Reference evapotranspiration estimation in hyper-arid regions via D-vine copula based-quantile regression and comparison with empirical approaches and machine learning models

Weitere Titelangaben:

Journal of Hydrology: Regional Studies

Beteiligte:

Abdallah, Mohammed (Autor:in) / Mohammadi, Babak (Autor:in) / H. Zaroug, Modathir A. (Autor:in) / Omer, Abubaker (Autor:in) / Cheraghalizadeh, Majid (Autor:in) / Eldow, Mohamed E.E. (Autor:in) / Duan, Zheng (Autor:in)