Dynamic precipitation phase partitioning improves modeled simulations of snow across the Northwest US

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Dynamic precipitation phase partitioning improves modeled simulations of snow across the Northwest US ; day:16 ; month:08 ; year:2024 ; pages:1-24 ; extent:24
EGUsphere ; (16.08.2024), 1-24 (gesamt 24)

Creator: Singh, Bhupinderjeet
Liu, Mingliang
Abatzoglou, John
Adam, Jennifer
Rajagopalan, Kirti

DOI: 10.5194/egusphere-2024-2284

URN: urn:nbn:de:101:1-2408220425508.197096118874

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

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Singh, Bhupinderjeet
Liu, Mingliang
Abatzoglou, John
Adam, Jennifer
Rajagopalan, Kirti

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Dynamic precipitation phase partitioning improves modeled simulations of snow across the Northwest US

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Other Objects (12)

Precipitation Biases and Snow Physics Limitations Drive the Uncertainties in Macroscale Modeled Snow Water Equivalent

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Validation of modeled snow properties in Afghanistan, Pakistan, and Tajikistan

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Measured and Modeled Snow Cover Properties across the Greenland Ice Sheet

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