A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin
Abstract = = = = - 1 = - 1 = 0.96 %) considered compared with the BMAQ and MLQR models. However, the DVQR model did not outperform the BMAQ and MLQR models with respect to the probability of detection (POD) and false-alarm ratio (FAR), although it had the best frequency bias index (FBI) and critical success index (CSI) among all of the employed models. Overall, the newly proposed merging approach improves the quality of SPPs and demonstrates the value of the proposed DVQR model in merging multiple SPPs over regions with rugged topography such as the UTAB.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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A D-vine copula-based quantile regression towards merging satellite precipitation products over rugged topography: a case study in the upper Tekeze–Atbara Basin ; volume:28 ; number:5 ; year:2024 ; pages:1147-1172 ; extent:26
Hydrology and earth system sciences ; 28, Heft 5 (2024), 1147-1172 (gesamt 26)
- Creator
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Abdallah, Mohammed
Zhang, Ke
Chao, Lijun
Omer, Abubaker
Hassaballah, Khalid
Welde Reda, Kidane
Liu, Linxin
Tola, Tolossa Lemma
Nour, Omar M.
- DOI
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10.5194/hess-28-1147-2024
- URN
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urn:nbn:de:101:1-2024031403331146254259
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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04.04.2025, 8:01 AM CEST
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Associated
- Abdallah, Mohammed
- Zhang, Ke
- Chao, Lijun
- Omer, Abubaker
- Hassaballah, Khalid
- Welde Reda, Kidane
- Liu, Linxin
- Tola, Tolossa Lemma
- Nour, Omar M.
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