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dc.contributor.authorSteven J. Cooper
dc.contributor.authorTristan S. L’Ecuyer
dc.contributor.authorMareile Astrid Wolff
dc.contributor.authorThomas Kuhn
dc.contributor.authorClaire Pettersen
dc.contributor.authorNorman B. Wood
dc.contributor.authorSalomon Eliasson
dc.contributor.authorClaire E. Schirle
dc.contributor.authorJulia Shates
dc.contributor.authorFranziska Hellmuth
dc.contributor.authorBjørg Jenny Kokkvoll Engdahl
dc.contributor.authorSandra Vásquez-Martín
dc.contributor.authorTrond Ilmo
dc.contributor.authorKnut Nygård
dc.date.accessioned2023-04-12T18:48:50Z
dc.date.available2023-04-12T18:48:50Z
dc.date.copyright2022/08/08
dc.date.issued2022
dc.identifier.otherBAMS-D-21-0007.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290291
dc.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.
dc.publisherAmerican Meteorological Society
dc.titleExploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign
dc.typeJournal Paper
dc.journal.volume103
dc.journal.issue8
dc.journal.titleBulletin of the American Meteorological Society
dc.identifier.doi10.1175/BAMS-D-21-0007.1
dc.journal.fristpageE1762
dc.journal.lastpageE1780
dc.pageE1762–E1780
dc.treeBulletin of the American Meteorological Society:;2022:;volume( 103 ):;issue: 008
dc.contenttypeFulltext


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