Snowfall in the Northern Great Lakes: Lessons Learned from a Multisensor Observatory

Mark S. Kulie NOAA/NESDIS/STAR/Advanced Satellite Products Branch, Madison, Wisconsin

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Claire Pettersen Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin

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Aronne J. Merrelli Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin

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Timothy J. Wagner Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin

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Norman B. Wood Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin

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Michael Dutter NOAA/National Weather Service, Wakefield, Virginia

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David Beachler NOAA/National Weather Service, Indianapolis, Indiana

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Todd Kluber NOAA/National Weather Service, Chicago, Illinois

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Robin Turner NOAA/National Weather Service, Marquette, Michigan

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Marian Mateling University of Wisconsin–Madison, Madison, Wisconsin

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John Lenters Michigan Technological University, Houghton, Michigan

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Peter Blanken Department of Geography, University of Colorado Boulder, Boulder, Colorado

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Maximilian Maahn Leipzig University, Leipzig, Germany

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Christopher Spence Environment and Climate Change Canada, Saskatoon, Saskatchewan, Canada

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Stefan Kneifel University of Cologne, Cologne, Germany

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Paul A. Kucera National Center for Atmospheric Research, Boulder, Colorado

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Ali Tokay NASA Goddard Space Flight Center, Greenbelt, Maryland

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Larry F. Bliven NASA Wallops Flight Facility, Wallops Island, Virginia

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David B. Wolff NASA Wallops Flight Facility, Wallops Island, Virginia

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Walter A. Petersen NASA Marshall Space Flight Center, Huntsville, Alabama

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Abstract

A multisensor snowfall observational suite has been deployed at the Marquette, Michigan, National Weather Service Weather Forecast Office (KMQT) since 2014. Micro Rain Radar (MRR; profiling radar), Precipitation Imaging Package (PIP; snow particle imager), and ancillary ground-based meteorological observations illustrate the unique capabilities of these combined instruments to document radar and concomitant microphysical properties associated with northern Great Lakes snowfall regimes. Lake-effect, lake-orographic, and transition event case studies are presented that illustrate the variety of snowfall events that occur at KMQT. Case studies and multiyear analyses reveal the ubiquity of snowfall produced by shallow events. These shallow snowfall features and their distinctive microphysical fingerprints are often difficult to discern with conventional remote sensing instruments, thus highlighting the scientific and potential operational value of MRR and PIP observations. The importance of near-surface lake-orographic snowfall enhancement processes in extreme snowfall events and regime-dependent snow particle microphysical variability controlled by regime and environmental factors are also highlighted.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Mark S. Kulie, mark.kulie@noaa.gov

Abstract

A multisensor snowfall observational suite has been deployed at the Marquette, Michigan, National Weather Service Weather Forecast Office (KMQT) since 2014. Micro Rain Radar (MRR; profiling radar), Precipitation Imaging Package (PIP; snow particle imager), and ancillary ground-based meteorological observations illustrate the unique capabilities of these combined instruments to document radar and concomitant microphysical properties associated with northern Great Lakes snowfall regimes. Lake-effect, lake-orographic, and transition event case studies are presented that illustrate the variety of snowfall events that occur at KMQT. Case studies and multiyear analyses reveal the ubiquity of snowfall produced by shallow events. These shallow snowfall features and their distinctive microphysical fingerprints are often difficult to discern with conventional remote sensing instruments, thus highlighting the scientific and potential operational value of MRR and PIP observations. The importance of near-surface lake-orographic snowfall enhancement processes in extreme snowfall events and regime-dependent snow particle microphysical variability controlled by regime and environmental factors are also highlighted.

© 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Mark S. Kulie, mark.kulie@noaa.gov

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