Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change
This study examined the impacts of projected climate change on heavy snow loads on Finnish forests, where snow-induced forest damage occurs frequently. For snow-load calculations, we used daily data from five global climate models under representative concentration pathway (RCP) scenarios RCP4.5 and...
Published in: | Natural Hazards and Earth System Sciences |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2016
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Subjects: | |
Online Access: | https://doi.org/10.5194/nhess-16-2259-2016 https://doaj.org/article/c32e34f4fe2546fc92f95573f1077918 |
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author | I. Lehtonen M. Kämäräinen H. Gregow A. Venäläinen H. Peltola |
author_facet | I. Lehtonen M. Kämäräinen H. Gregow A. Venäläinen H. Peltola |
author_sort | I. Lehtonen |
collection | Directory of Open Access Journals: DOAJ Articles |
container_issue | 10 |
container_start_page | 2259 |
container_title | Natural Hazards and Earth System Sciences |
container_volume | 16 |
description | This study examined the impacts of projected climate change on heavy snow loads on Finnish forests, where snow-induced forest damage occurs frequently. For snow-load calculations, we used daily data from five global climate models under representative concentration pathway (RCP) scenarios RCP4.5 and RCP8.5, statistically downscaled onto a high-resolution grid using a quantile-mapping method. Our results suggest that projected climate warming results in regionally asymmetric response on heavy snow loads in Finnish forests. In eastern and northern Finland, the annual maximum snow loads on tree crowns were projected to increase during the present century, as opposed to southern and western parts of the country. The change was rather similar both for heavy rime loads and wet snow loads, as well as for frozen snow loads. Only the heaviest dry snow loads were projected to decrease over almost the whole of Finland. Our results are aligned with previous snowfall projections, typically indicating increasing heavy snowfalls over the areas with mean temperature below −8 °C. In spite of some uncertainties related to our results, we conclude that the risk for snow-induced forest damage is likely to increase in the future in the eastern and northern parts of Finland, i.e. in the areas experiencing the coldest winters in the country. The increase is partly due to the increase in wet snow hazards but also due to more favourable conditions for rime accumulation in a future climate that is more humid but still cold enough. |
format | Article in Journal/Newspaper |
genre | Northern Finland |
genre_facet | Northern Finland |
geographic | Rime |
geographic_facet | Rime |
id | ftdoajarticles:oai:doaj.org/article:c32e34f4fe2546fc92f95573f1077918 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(6.483,6.483,62.567,62.567) |
op_collection_id | ftdoajarticles |
op_container_end_page | 2271 |
op_doi | https://doi.org/10.5194/nhess-16-2259-2016 |
op_relation | https://www.nat-hazards-earth-syst-sci.net/16/2259/2016/nhess-16-2259-2016.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 doi:10.5194/nhess-16-2259-2016 1561-8633 1684-9981 https://doaj.org/article/c32e34f4fe2546fc92f95573f1077918 |
op_source | Natural Hazards and Earth System Sciences, Vol 16, Pp 2259-2271 (2016) |
publishDate | 2016 |
publisher | Copernicus Publications |
record_format | openpolar |
spelling | ftdoajarticles:oai:doaj.org/article:c32e34f4fe2546fc92f95573f1077918 2025-01-16T23:52:43+00:00 Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change I. Lehtonen M. Kämäräinen H. Gregow A. Venäläinen H. Peltola 2016-10-01T00:00:00Z https://doi.org/10.5194/nhess-16-2259-2016 https://doaj.org/article/c32e34f4fe2546fc92f95573f1077918 EN eng Copernicus Publications https://www.nat-hazards-earth-syst-sci.net/16/2259/2016/nhess-16-2259-2016.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 doi:10.5194/nhess-16-2259-2016 1561-8633 1684-9981 https://doaj.org/article/c32e34f4fe2546fc92f95573f1077918 Natural Hazards and Earth System Sciences, Vol 16, Pp 2259-2271 (2016) Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 article 2016 ftdoajarticles https://doi.org/10.5194/nhess-16-2259-2016 2022-12-31T00:26:31Z This study examined the impacts of projected climate change on heavy snow loads on Finnish forests, where snow-induced forest damage occurs frequently. For snow-load calculations, we used daily data from five global climate models under representative concentration pathway (RCP) scenarios RCP4.5 and RCP8.5, statistically downscaled onto a high-resolution grid using a quantile-mapping method. Our results suggest that projected climate warming results in regionally asymmetric response on heavy snow loads in Finnish forests. In eastern and northern Finland, the annual maximum snow loads on tree crowns were projected to increase during the present century, as opposed to southern and western parts of the country. The change was rather similar both for heavy rime loads and wet snow loads, as well as for frozen snow loads. Only the heaviest dry snow loads were projected to decrease over almost the whole of Finland. Our results are aligned with previous snowfall projections, typically indicating increasing heavy snowfalls over the areas with mean temperature below −8 °C. In spite of some uncertainties related to our results, we conclude that the risk for snow-induced forest damage is likely to increase in the future in the eastern and northern parts of Finland, i.e. in the areas experiencing the coldest winters in the country. The increase is partly due to the increase in wet snow hazards but also due to more favourable conditions for rime accumulation in a future climate that is more humid but still cold enough. Article in Journal/Newspaper Northern Finland Directory of Open Access Journals: DOAJ Articles Rime ENVELOPE(6.483,6.483,62.567,62.567) Natural Hazards and Earth System Sciences 16 10 2259 2271 |
spellingShingle | Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 I. Lehtonen M. Kämäräinen H. Gregow A. Venäläinen H. Peltola Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change |
title | Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change |
title_full | Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change |
title_fullStr | Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change |
title_full_unstemmed | Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change |
title_short | Heavy snow loads in Finnish forests respond regionally asymmetrically to projected climate change |
title_sort | heavy snow loads in finnish forests respond regionally asymmetrically to projected climate change |
topic | Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
topic_facet | Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
url | https://doi.org/10.5194/nhess-16-2259-2016 https://doaj.org/article/c32e34f4fe2546fc92f95573f1077918 |