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Macro- and Microphysical Properties of Atmospheric River Snowfall: Results from Two Instrument Sites

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DataCite Commons2025-10-01 更新2026-05-03 收录
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http://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.E5GCZB
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Atmospheric rivers (ARs) can produce intense snowfall events with different characteristics compared to snowfall events not associated with ARs. This study uses remotely sensed and in situ observations at multi-year instrument sites in Marquette, Michigan and Hyytiälä, Finland to comprehensively evaluate snowfall properties during ARs and compare to snowfall properties during non-AR conditions (NoAR). A snowfall classification scheme is applied at each site to find deep (large-scale) snowfall events and classify them as either AR or NoAR snowfall. To identify differences between the two regimes, reanalysis data products and ground-based observations are utilized to examine the large-scale properties, environmental conditions, and macro- and microphysical characteristics of AR and NoAR snowfall. During AR snowfall, there is a preferential large-scale setup at both instrument sites that result in enhanced water vapor transport. The AR snowfall events produce higher snowfall rates, as well as a higher number of denser and faster falling snow particles compared to NoAR snowfall.
提供机构:
Root
创建时间:
2025-10-01
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