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dc.contributor.authorCooper, Steven J.
dc.contributor.authorL'Ecuyer, Tristan S.
dc.contributor.authorWolff, Mareile Astrid
dc.contributor.authorKuhn, Thomas
dc.contributor.authorPettersen, Claire
dc.contributor.authorWood, Norman B.
dc.contributor.authorEliasson, Salomon
dc.contributor.authorSchirle, Claire E.
dc.contributor.authorShates, Julia
dc.contributor.authorHellmuth, Franziska
dc.contributor.authorEngdahl, Bjørg Jenny Kokkvoll
dc.contributor.authorVásquez-Martìn, Sandra
dc.contributor.authorIlmo, Trond
dc.contributor.authorNygård, Knut
dc.date.accessioned2022-09-05T06:39:38Z
dc.date.available2022-09-05T06:39:38Z
dc.date.created2022-08-15T23:04:39Z
dc.date.issued2022
dc.identifier.citationBulletin of The American Meteorological Society - (BAMS). 2022, 103 (8), E1762-E1780.en_US
dc.identifier.issn0003-0007
dc.identifier.urihttps://hdl.handle.net/11250/3015627
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.description.abstractExploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaign
dc.language.isoengen_US
dc.relation.urihttps://journals-ametsoc-org.ezproxy.uio.no/view/journals/bams/103/8/BAMS-D-21-0007.1.xml?tab_body=fulltext-display
dc.titleExploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaignen_US
dc.title.alternativeExploring Snowfall Variability through the High-Latitude Measurement of Snowfall (HiLaMS) Field Campaignen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersion
dc.source.pagenumberE1762-E1780en_US
dc.source.volume103en_US
dc.source.journalBulletin of The American Meteorological Society - (BAMS)en_US
dc.source.issue8en_US
dc.identifier.doi10.1175/BAMS-D-21-0007.1
dc.identifier.cristin2043229
dc.relation.projectNorges forskningsråd: 224106/E10
dc.relation.projectNational Science Foundation: 1531690
dc.relation.projectERC-European Research Council: StG 758005
dc.relation.projectNASA National Aeronautics and Space Administration: 80NSSC21K0931
dc.relation.projectNational Science Foundation: 1531930
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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