Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset

Climate projections for the 21st century indicate that there could be a pronounced warming and permafrost degradation in the Arctic and sub-Arctic regions. Climate warming is likely to cause permafrost thawing with subsequent effects on surface albedo, hydrology, soil organic matter storage and gree...

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Published in:The Cryosphere
Main Authors: E. E. Jafarov, S. S. Marchenko, V. E. Romanovsky
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2012
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-6-613-2012
http://www.the-cryosphere.net/6/613/2012/tc-6-613-2012.pdf
https://doaj.org/article/11e99b99fec044a0bc103e50525ee61b
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:11e99b99fec044a0bc103e50525ee61b 2023-05-15T13:02:43+02:00 Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset E. E. Jafarov S. S. Marchenko V. E. Romanovsky 2012-06-01 https://doi.org/10.5194/tc-6-613-2012 http://www.the-cryosphere.net/6/613/2012/tc-6-613-2012.pdf https://doaj.org/article/11e99b99fec044a0bc103e50525ee61b en eng Copernicus Publications doi:10.5194/tc-6-613-2012 1994-0416 1994-0424 http://www.the-cryosphere.net/6/613/2012/tc-6-613-2012.pdf https://doaj.org/article/11e99b99fec044a0bc103e50525ee61b undefined The Cryosphere, Vol 6, Iss 3, Pp 613-624 (2012) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2012 fttriple https://doi.org/10.5194/tc-6-613-2012 2023-01-22T17:33:00Z Climate projections for the 21st century indicate that there could be a pronounced warming and permafrost degradation in the Arctic and sub-Arctic regions. Climate warming is likely to cause permafrost thawing with subsequent effects on surface albedo, hydrology, soil organic matter storage and greenhouse gas emissions. To assess possible changes in the permafrost thermal state and active layer thickness, we implemented the GIPL2-MPI transient numerical model for the entire Alaska permafrost domain. The model input parameters are spatial datasets of mean monthly air temperature and precipitation, prescribed thermal properties of the multilayered soil column, and water content that are specific for each soil class and geographical location. As a climate forcing, we used the composite of five IPCC Global Circulation Models that has been downscaled to 2 by 2 km spatial resolution by Scenarios Network for Alaska Planning (SNAP) group. In this paper, we present the modeling results based on input of a five-model composite with A1B carbon emission scenario. The model has been calibrated according to the annual borehole temperature measurements for the State of Alaska. We also performed more detailed calibration for fifteen shallow borehole stations where high quality data are available on daily basis. To validate the model performance, we compared simulated active layer thicknesses with observed data from Circumpolar Active Layer Monitoring (CALM) stations. The calibrated model was used to address possible ground temperature changes for the 21st century. The model simulation results show widespread permafrost degradation in Alaska could begin between 2040–2099 within the vast area southward from the Brooks Range, except for the high altitude regions of the Alaska Range and Wrangell Mountains. Article in Journal/Newspaper Active layer monitoring Active layer thickness alaska range albedo Arctic Brooks Range permafrost The Cryosphere Alaska Unknown Arctic The Cryosphere 6 3 613 624
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
E. E. Jafarov
S. S. Marchenko
V. E. Romanovsky
Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset
topic_facet geo
envir
description Climate projections for the 21st century indicate that there could be a pronounced warming and permafrost degradation in the Arctic and sub-Arctic regions. Climate warming is likely to cause permafrost thawing with subsequent effects on surface albedo, hydrology, soil organic matter storage and greenhouse gas emissions. To assess possible changes in the permafrost thermal state and active layer thickness, we implemented the GIPL2-MPI transient numerical model for the entire Alaska permafrost domain. The model input parameters are spatial datasets of mean monthly air temperature and precipitation, prescribed thermal properties of the multilayered soil column, and water content that are specific for each soil class and geographical location. As a climate forcing, we used the composite of five IPCC Global Circulation Models that has been downscaled to 2 by 2 km spatial resolution by Scenarios Network for Alaska Planning (SNAP) group. In this paper, we present the modeling results based on input of a five-model composite with A1B carbon emission scenario. The model has been calibrated according to the annual borehole temperature measurements for the State of Alaska. We also performed more detailed calibration for fifteen shallow borehole stations where high quality data are available on daily basis. To validate the model performance, we compared simulated active layer thicknesses with observed data from Circumpolar Active Layer Monitoring (CALM) stations. The calibrated model was used to address possible ground temperature changes for the 21st century. The model simulation results show widespread permafrost degradation in Alaska could begin between 2040–2099 within the vast area southward from the Brooks Range, except for the high altitude regions of the Alaska Range and Wrangell Mountains.
format Article in Journal/Newspaper
author E. E. Jafarov
S. S. Marchenko
V. E. Romanovsky
author_facet E. E. Jafarov
S. S. Marchenko
V. E. Romanovsky
author_sort E. E. Jafarov
title Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset
title_short Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset
title_full Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset
title_fullStr Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset
title_full_unstemmed Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset
title_sort numerical modeling of permafrost dynamics in alaska using a high spatial resolution dataset
publisher Copernicus Publications
publishDate 2012
url https://doi.org/10.5194/tc-6-613-2012
http://www.the-cryosphere.net/6/613/2012/tc-6-613-2012.pdf
https://doaj.org/article/11e99b99fec044a0bc103e50525ee61b
geographic Arctic
geographic_facet Arctic
genre Active layer monitoring
Active layer thickness
alaska range
albedo
Arctic
Brooks Range
permafrost
The Cryosphere
Alaska
genre_facet Active layer monitoring
Active layer thickness
alaska range
albedo
Arctic
Brooks Range
permafrost
The Cryosphere
Alaska
op_source The Cryosphere, Vol 6, Iss 3, Pp 613-624 (2012)
op_relation doi:10.5194/tc-6-613-2012
1994-0416
1994-0424
http://www.the-cryosphere.net/6/613/2012/tc-6-613-2012.pdf
https://doaj.org/article/11e99b99fec044a0bc103e50525ee61b
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op_doi https://doi.org/10.5194/tc-6-613-2012
container_title The Cryosphere
container_volume 6
container_issue 3
container_start_page 613
op_container_end_page 624
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