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Bokhorst, S., Pedersen, S.H., Brucker, L. et al. Ambio (2016) 45: 516. doi:10.1007/s13280-016-0770-0 Changing Arctic snow cover : a review of recent developments and assessment of future needs for observations, modelling, and impacts |
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| Author: | Bokhorst, Stef1; Højlund Pedersen, Stine2; Brucker, Ludovic3; |
| Organizations: |
1FRAM – High North Research Centre on Climate and the Environment, Norwegian Institute for Nature Research (NINA), PO Box 6606, Langnes 9296, Tromsø, Norway 2Department of Bioscience, Arctic Research Centre, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark 3NASA GSFC Cryospheric Sciences Laboratory, Code 615, Greenbelt, MD 20771, USA
4International Centre for Science and Education ‘‘Best’’, North-East Federal University, Yakutsk, Russia
5Climate Research Division, Environment Canada Ouranos, 550 Sherbrooke St. West, 19th Floor, Montreal, QC H3A 1B9, Canada 6Department of Arctic and Marine Biology, University of Tromsø, 9037 Tromsø, Norway 7School of GeoSciences, University of Edinburgh, Edinburgh, UK 8Institute of Environmental Physics, University of Heidelberg, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany 9Department of Physical Geography, Stockholm University, 106 91 Stockholm, Sweden 10Department of Earth Sciences, Uppsala University, Villavägen 16, 75236 Uppsala, Sweden 11Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, 223 62 Lund, Sweden 12Royal Swedish Academy of Sciences, PO Box 50005, 104 05 Stockholm, Sweden 13Faculty of Life- and Environmental Sciences, University of Iceland, Sturlugata 7, 101 Reykjavík, Iceland 14Leavas Sámi Community, Box 53, 981 21 Kiruna, Sweden 15Arctic Research, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland 16FAC-CNR - Institute of Applied Physics ‘‘Nello Carrara’’, National Research Council, Via Madonna del Piano 10, 50019 Sesto Fiorentino, FI, Italy 17National Wildlife Research Centre, Environment Canada, 1125 Colonel By Drive, Ottawa K1A 0H3, Canada 18Canadian High Arctic Research Station (CHARS), 360 Albert Street, Suite 1710, Ottawa, ON K1R 7X7, Canada 19Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Prevention, 187-16 Suyoshi, Nagaoka, Niigata 940-0821, Japan 20Thule Insitute, University of Oulu, PO Box 7300, 90014 Oulu, Finland 21WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf, Switzerland 22Science Center for Arctic Studies, State Organization of Yamal- Nenets Autonomous District, Salekhard, Russia 23Arctic Environment Laboratory, Faculty of Geography, M.V. Lomonosov Moscow State University, Leninskie gory 1, Moscow, Russia 119991 24Institute of Atmospheric Sciences and Climate, National Research Council (ISAC-CNR), Corso Fiume 4, 10133 Turin, Italy 25Division for Model and Climate Analysis, R&D Department, The Norwegian Meteorological Institute, Postboks 43, Blindern, 0313 Oslo, Norway 26Department of Biological Sciences, University of Alberta, CW 405, Biological Sciences Bldg., Edmonton, AB T6G 2E9, Canada 27Institute of Remote Sensing and Digital Earth, Chinese Academic of Science, Beijing 100094, China 28Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK 29National Research Tomsk Stated University, 36, Lenin Ave., Tomsk, Russia 634050 |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 2.1 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe201707057641 |
| Language: | English |
| Published: |
Springer Nature,
2016
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| Publish Date: | 2017-07-05 |
| Description: |
AbstractSnow 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. see all
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| Series: |
Ambio. A journal of the human environment |
| ISSN: | 0044-7447 |
| ISSN-E: | 1654-7209 |
| ISSN-L: | 0044-7447 |
| Volume: | 45 |
| Issue: | 5 |
| Pages: | 516 - 537 |
| DOI: | 10.1007/s13280-016-0770-0 |
| OADOI: | https://oadoi.org/10.1007/s13280-016-0770-0 |
| Type of Publication: |
A2 Review article in a scientific journal |
| Field of Science: |
1172 Environmental sciences 218 Environmental engineering |
| Subjects: | |
| Funding: |
The writing of this paper was initiated by an IASC ICARP III Activity grant to TVC enabling a workshop hosted by the European Environment Agency. The authors acknowledge funding from their respective national and international funding bodies, which has enabled the contribution of all authors to this work. |
| Dataset Reference: |
Electronic supplementary material |
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http://dx.doi.org/10.1007/s13280-016-0770-0 |
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| Copyright information: |
© The Author(s) 2016 This article is distributed under the terms of the
Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted
use, distribution, and reproduction in any medium, provided you give
appropriate credit to the original author(s) and the source, provide a
link to the Creative Commons license, and indicate if changes were
made. |
|
https://creativecommons.org/licenses/by/4.0/ |