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A seasonal snowpack model forced with dynamically downscaled forcing data resolves hydrologically relevant accumulation patterns

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RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

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Accurately representing mixed-phase clouds (MPCs) in global climate models (GCMs) is critical for capturing climate sensitivity and Arctic amplification. Secondary ice production (SIP), can significantly increase ice crystal number concentration (ICNC) in ...
2024