Changing arctic snow cover: a review of recent developments and assessment of future needs for observations, modelling, and impacts
Snow is a critically important and rapidly changing feature of the Arctic. However, snow-cover and snowpack conditions change through time pose challenges for measuring and prediction of snow. Plausible scenarios of how Arctic snow cover will respond to changing Arctic climate are important for impa...
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| Main Authors: | , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
17 March 2016
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| In: |
Ambio
Year: 2016, Volume: 45, Issue: 5, Pages: 516-537 |
| ISSN: | 1654-7209 |
| DOI: | 10.1007/s13280-016-0770-0 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s13280-016-0770-0
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| Author Notes: | Stef Bokhorst, Stine Højlund Pedersen, Ludovic Brucker, Oleg Anisimov, Jarle W. Bjerke, Ross D. Brown, Dorothee Ehrich, Richard L. H. Essery, Achim Heilig, Susanne Ingvander, Cecilia Johansson, Margareta Johansson, Ingibjörg Svala Jónsdóttir, Niila Inga, Kari Luojus, Giovanni Macelloni, Heather Mariash, Donald McLennan, Gunhild Ninis Rosqvist, Atsushi Sato, Hannele Savela, Martin Schneebeli, Aleksandr Sokolov, Sergey A. Sokratov, Silvia Terzago, Dagrun Vikhamar-Schuler, Scott Williamson, Yubao Qiu, Terry V. Callaghan |
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| 520 | |a Snow is a critically important and rapidly changing feature of the Arctic. However, snow-cover and snowpack conditions change through time pose challenges for measuring and prediction of snow. Plausible scenarios of how Arctic snow cover will respond to changing Arctic climate are important for impact assessments and adaptation strategies. Although much progress has been made in understanding and predicting snow-cover changes and their multiple consequences, many uncertainties remain. In this paper, we review advances in snow monitoring and modelling, and the impact of snow changes on ecosystems and society in Arctic regions. Interdisciplinary activities are required to resolve the current limitations on measuring and modelling snow characteristics through the cold season and at different spatial scales to assure human well-being, economic stability, and improve the ability to predict manage and adapt to natural hazards in the Arctic region. | ||
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