Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology

Keith S. Jennings; Meghan Collins; Benjamin J. Hatchett; Anne Heggli; Nayoung Hur; Sonia Tonino; Anne W. Nolin; Guo Yu; Wei Zhang; Monica M. Arienzo

doi:10.1038/s41467-025-58234-2

Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology

K Keith S. Jennings M Meghan Collins B Benjamin J. Hatchett A Anne Heggli N Nayoung Hur S Sonia Tonino A Anne W. Nolin G Guo Yu W Wei Zhang M Monica M. Arienzo

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Article Details

Journal Nature Communications

Volume / Issue Vol. 16, Issue 1

Published March 25, 2025

DOI 10.1038/s41467-025-58234-2

ISSN 2041-1723

Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (10)

K

Keith S. Jennings

M

Meghan Collins

B

Benjamin J. Hatchett

A

Anne Heggli

N

Nayoung Hur

S

Sonia Tonino

A

Anne W. Nolin

G

Guo Yu

W

Wei Zhang

M

Monica M. Arienzo

Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology

Article Details

Journal Info

Authors (10)

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