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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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