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

Author:

Cooper Steven J.1,L’Ecuyer Tristan S.2,Wolff Mareile Astrid3,Kuhn Thomas4,Pettersen Claire5,Wood Norman B.6,Eliasson Salomon7,Schirle Claire E.1,Shates Julia2,Hellmuth Franziska8,Engdahl Bjørg Jenny Kokkvoll3,Vásquez-Martín Sandra4,Ilmo Trond3,Nygård Knut3

Affiliation:

1. Department of Atmospheric Sciences, University of Utah, Salt Lake City, Utah;

2. Department of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, Wisconsin;

3. Norwegian Meteorological Institute, Oslo, Norway;

4. Luleå University of Technology, Kiruna, Sweden;

5. Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin, and Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, Michigan;

6. Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin;

7. Swedish Meteorological and Hydrological Institute, Norrköping, Sweden;

8. University of Oslo, Oslo, Norway

Abstract

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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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