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European In-Situ Snow Measurements: Practices and Purposes
Roberta Pirazzini1, Leena Leppänen2, Ghislain Picard3
1Finnish Meteorological Institute (FMI), FI-00101 Helsinki, Finland. roberta.pirazzini@fmi.fi.
A survey of European snow monitoring found most institutions measure snow depth and water equivalent. Recommendations focus on improving automated, cost-effective methods for in-situ snow observations.
Area of Science:
- Environmental science
- Atmospheric science
- Hydrology
Background:
- In-situ snow measurements are crucial for climate change scenarios, hydrology, and numerical weather prediction.
- A European Cooperation in Science and Technology (COST) Action ES1404 initiative harmonized snow monitoring.
- Operational, research, and energy sectors rely on accurate snow data.
Purpose of the Study:
- To survey current in-situ snow measurement practices across Europe.
- To identify the types of snow parameters measured and the methods used.
- To provide recommendations for enhancing the efficiency and coverage of snow observation networks.
Main Methods:
- A survey was distributed to 125 participants from 99 institutions across 38 European countries.
- Respondents represented diverse environments including mountains, plains, forests, tundra, and ice-covered areas.
- Data collected covered snow macrophysical, precipitating, microstructural, electromagnetic, and compositional properties.
Main Results:
- 93% of respondents measure snow macrophysical parameters (snow presence, depth, water equivalent, density), primarily using manual methods.
- 74% measure precipitating and suspended snow characteristics, vital for operational services.
- Snow microstructural (41%), electromagnetic (26%), and compositional (13%) properties are measured mainly for research.
Conclusions:
- There is a need to enhance the efficiency and coverage of in-situ snow observation networks.
- Adoption of automatic and cost-effective measurement methods is recommended.
- Harmonization of observational networks and measurement practices is essential for improved snow monitoring.
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