A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data

Permafrost is a key element of the terrestrial cryosphere which makes mapping and monitoring of its state variables an imperative task. We present a modeling scheme based on remotely sensed land surface temperatures and reanalysis products from which mean annual ground temperatures (MAGT) can be der...

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Main Authors: S. Westermann, T. I. Østby, K. Gisnås, T. V. Schuler, B. Etzelmüller
Format: Article
Language:English
Published: Copernicus Publications 2015-06-01
Series:The Cryosphere
Online Access:http://www.the-cryosphere.net/9/1303/2015/tc-9-1303-2015.pdf
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author S. Westermann
T. I. Østby
K. Gisnås
T. V. Schuler
B. Etzelmüller
author_facet S. Westermann
T. I. Østby
K. Gisnås
T. V. Schuler
B. Etzelmüller
author_sort S. Westermann
collection DOAJ
description Permafrost is a key element of the terrestrial cryosphere which makes mapping and monitoring of its state variables an imperative task. We present a modeling scheme based on remotely sensed land surface temperatures and reanalysis products from which mean annual ground temperatures (MAGT) can be derived at a spatial resolution of 1 km at continental scales. The approach explicitly accounts for the uncertainty due to unknown input parameters and their spatial variability at subgrid scale by delivering a range of MAGTs for each grid cell. This is achieved by a simple equilibrium model with only few input parameters which for each grid cell allows scanning the range of possible results by running many realizations with different parameters. The approach is applied to the unglacierized land areas in the North Atlantic region, an area of more than 5 million km<sup>2</sup> ranging from the Ural Mountains in the east to the Canadian Archipelago in the west. A comparison to in situ temperature measurements in 143 boreholes suggests a model accuracy better than 2.5 °C, with 139 considered boreholes within this margin. The statistical approach with a large number of realizations facilitates estimating the probability of permafrost occurrence within a grid cell so that each grid cell can be classified as continuous, discontinuous and sporadic permafrost. At its southern margin in Scandinavia and Russia, the transition zone between permafrost and permafrost-free areas extends over several hundred km width with gradually decreasing permafrost probabilities. The study exemplifies the unexploited potential of remotely sensed data sets in permafrost mapping if they are employed in multi-sensor multi-source data fusion approaches.
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spelling doaj.art-40260bf37686474597834c8304d509a52022-12-21T19:00:17ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242015-06-01931303131910.5194/tc-9-1303-2015A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis dataS. Westermann0T. I. Østby1K. Gisnås2T. V. Schuler3B. Etzelmüller4Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, NorwayDepartment of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, NorwayPermafrost is a key element of the terrestrial cryosphere which makes mapping and monitoring of its state variables an imperative task. We present a modeling scheme based on remotely sensed land surface temperatures and reanalysis products from which mean annual ground temperatures (MAGT) can be derived at a spatial resolution of 1 km at continental scales. The approach explicitly accounts for the uncertainty due to unknown input parameters and their spatial variability at subgrid scale by delivering a range of MAGTs for each grid cell. This is achieved by a simple equilibrium model with only few input parameters which for each grid cell allows scanning the range of possible results by running many realizations with different parameters. The approach is applied to the unglacierized land areas in the North Atlantic region, an area of more than 5 million km<sup>2</sup> ranging from the Ural Mountains in the east to the Canadian Archipelago in the west. A comparison to in situ temperature measurements in 143 boreholes suggests a model accuracy better than 2.5 °C, with 139 considered boreholes within this margin. The statistical approach with a large number of realizations facilitates estimating the probability of permafrost occurrence within a grid cell so that each grid cell can be classified as continuous, discontinuous and sporadic permafrost. At its southern margin in Scandinavia and Russia, the transition zone between permafrost and permafrost-free areas extends over several hundred km width with gradually decreasing permafrost probabilities. The study exemplifies the unexploited potential of remotely sensed data sets in permafrost mapping if they are employed in multi-sensor multi-source data fusion approaches.http://www.the-cryosphere.net/9/1303/2015/tc-9-1303-2015.pdf
spellingShingle S. Westermann
T. I. Østby
K. Gisnås
T. V. Schuler
B. Etzelmüller
A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data
The Cryosphere
title A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data
title_full A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data
title_fullStr A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data
title_full_unstemmed A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data
title_short A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data
title_sort ground temperature map of the north atlantic permafrost region based on remote sensing and reanalysis data
url http://www.the-cryosphere.net/9/1303/2015/tc-9-1303-2015.pdf
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