Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent
Abstract ∘ C) in the temperature forcings, larger ablations and lower ratios of SWE to total precipitation are found even in the accumulation period, indicating that melting physics in LSMs drives some SWE uncertainties. Based on the principal component analysis, we find that precipitation bias and partitioning methods have a large contribution to the first principal component, which accounts for about half of the total variance. The results provide insights into prioritizing strategies to improve SWE estimates from LSMs for hydrologic applications.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent ; volume:26 ; number:22 ; year:2022 ; pages:5721-5735 ; extent:15
Hydrology and earth system sciences ; 26, Heft 22 (2022), 5721-5735 (gesamt 15)
- Urheber
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Cho, Eunsang
Vuyovich, Carrie M.
Kumar, Sujay V.
Wrzesien, Melissa L.
Kim, Rhae Sung
Jacobs, Jennifer M.
- DOI
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10.5194/hess-26-5721-2022
- URN
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urn:nbn:de:101:1-2022111704262127753757
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:20 MESZ
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Beteiligte
- Cho, Eunsang
- Vuyovich, Carrie M.
- Kumar, Sujay V.
- Wrzesien, Melissa L.
- Kim, Rhae Sung
- Jacobs, Jennifer M.
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