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    Exploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign

    Source: Bulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 008::page E1762
    Author:
    Steven J. Cooper
    ,
    Tristan S. L’Ecuyer
    ,
    Mareile Astrid Wolff
    ,
    Thomas Kuhn
    ,
    Claire Pettersen
    ,
    Norman B. Wood
    ,
    Salomon Eliasson
    ,
    Claire E. Schirle
    ,
    Julia Shates
    ,
    Franziska Hellmuth
    ,
    Bjørg Jenny Kokkvoll Engdahl
    ,
    Sandra Vásquez-Martín
    ,
    Trond Ilmo
    ,
    Knut Nygård
    DOI: 10.1175/BAMS-D-21-0007.1
    Publisher: American Meteorological Society
    Abstract: The High-Latitude Measurement of Snowfall (HiLaMS) campaign explored variability in snowfall properties and processes at meteorologically distinct field sites located in Haukeliseter, Norway, and Kiruna, Sweden, during the winters of 2016/17 and 2017/18, respectively. Campaign activities were founded upon the sensitivities of a low-cost, core instrumentation suite consisting of Micro Rain Radar, Precipitation Imaging Package, and Multi-Angle Snow Camera. These instruments are highly portable to remote field sites and, considered together, provide a unique and complementary set of snowfall observations including snowflake habit, particle size distributions, fall speeds, surface snowfall accumulations, and vertical profiles of radar moments and snow water content. These snow-specific parameters, used in combination with existing observations from the field sites such as snow gauge accumulations and ambient weather conditions, allow for advanced studies of snowfall processes. HiLaMS observations were used to 1) successfully develop a combined radar and in situ microphysical property retrieval scheme to estimate both surface snowfall accumulation and the vertical profile of snow water content, 2) identify the predominant snowfall regimes at Haukeliseter and Kiruna and characterize associated macrophysical and microphysical properties, snowfall production, and meteorological conditions, and 3) identify biases in the HARMONIE-AROME numerical weather prediction model for forecasts of snowfall accumulations and vertical profiles of snow water content for the distinct snowfall regimes observed at the mountainous Haukeliseter site. HiLaMS activities and results suggest value in the deployment of this enhanced snow observing instrumentation suite to new and diverse high-latitude locations that may be underrepresented in climate and weather process studies.
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      Exploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4290291
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    • Bulletin of the American Meteorological Society

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    contributor authorSteven J. Cooper
    contributor authorTristan S. L’Ecuyer
    contributor authorMareile Astrid Wolff
    contributor authorThomas Kuhn
    contributor authorClaire Pettersen
    contributor authorNorman B. Wood
    contributor authorSalomon Eliasson
    contributor authorClaire E. Schirle
    contributor authorJulia Shates
    contributor authorFranziska Hellmuth
    contributor authorBjørg Jenny Kokkvoll Engdahl
    contributor authorSandra Vásquez-Martín
    contributor authorTrond Ilmo
    contributor authorKnut Nygård
    date accessioned2023-04-12T18:48:50Z
    date available2023-04-12T18:48:50Z
    date copyright2022/08/08
    date issued2022
    identifier otherBAMS-D-21-0007.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290291
    description abstractThe High-Latitude Measurement of Snowfall (HiLaMS) campaign explored variability in snowfall properties and processes at meteorologically distinct field sites located in Haukeliseter, Norway, and Kiruna, Sweden, during the winters of 2016/17 and 2017/18, respectively. Campaign activities were founded upon the sensitivities of a low-cost, core instrumentation suite consisting of Micro Rain Radar, Precipitation Imaging Package, and Multi-Angle Snow Camera. These instruments are highly portable to remote field sites and, considered together, provide a unique and complementary set of snowfall observations including snowflake habit, particle size distributions, fall speeds, surface snowfall accumulations, and vertical profiles of radar moments and snow water content. These snow-specific parameters, used in combination with existing observations from the field sites such as snow gauge accumulations and ambient weather conditions, allow for advanced studies of snowfall processes. HiLaMS observations were used to 1) successfully develop a combined radar and in situ microphysical property retrieval scheme to estimate both surface snowfall accumulation and the vertical profile of snow water content, 2) identify the predominant snowfall regimes at Haukeliseter and Kiruna and characterize associated macrophysical and microphysical properties, snowfall production, and meteorological conditions, and 3) identify biases in the HARMONIE-AROME numerical weather prediction model for forecasts of snowfall accumulations and vertical profiles of snow water content for the distinct snowfall regimes observed at the mountainous Haukeliseter site. HiLaMS activities and results suggest value in the deployment of this enhanced snow observing instrumentation suite to new and diverse high-latitude locations that may be underrepresented in climate and weather process studies.
    publisherAmerican Meteorological Society
    titleExploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign
    typeJournal Paper
    journal volume103
    journal issue8
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-21-0007.1
    journal fristpageE1762
    journal lastpageE1780
    pageE1762–E1780
    treeBulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 008
    contenttypeFulltext
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