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...

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Published in:Natural Hazards and Earth System Sciences
Main Authors: I. Lehtonen, M. Kämäräinen, H. Gregow, A. Venäläinen, H. Peltola
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2016
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.
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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