A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)

The climate in Svalbard is undergoing amplified change compared to the global mean. This has major implications for runoff from glaciers and seasonal snow on land. We use a coupled energy balance–subsurface model, forced with downscaled regional climate model fields, and apply it to both glacier-cov...

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Published in:The Cryosphere
Main Authors: W. van Pelt, V. Pohjola, R. Pettersson, S. Marchenko, J. Kohler, B. Luks, J. O. Hagen, T. V. Schuler, T. Dunse, B. Noël, C. Reijmer
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
geo
Ela
Online Access:https://doi.org/10.5194/tc-13-2259-2019
https://www.the-cryosphere.net/13/2259/2019/tc-13-2259-2019.pdf
https://doaj.org/article/d397737ac10946f49aff67cac3d49cd3
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:d397737ac10946f49aff67cac3d49cd3 2023-05-15T16:22:09+02:00 A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018) W. van Pelt V. Pohjola R. Pettersson S. Marchenko J. Kohler B. Luks J. O. Hagen T. V. Schuler T. Dunse B. Noël C. Reijmer 2019-09-01 https://doi.org/10.5194/tc-13-2259-2019 https://www.the-cryosphere.net/13/2259/2019/tc-13-2259-2019.pdf https://doaj.org/article/d397737ac10946f49aff67cac3d49cd3 en eng Copernicus Publications doi:10.5194/tc-13-2259-2019 1994-0416 1994-0424 https://www.the-cryosphere.net/13/2259/2019/tc-13-2259-2019.pdf https://doaj.org/article/d397737ac10946f49aff67cac3d49cd3 undefined The Cryosphere, Vol 13, Pp 2259-2280 (2019) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2019 fttriple https://doi.org/10.5194/tc-13-2259-2019 2023-01-22T19:32:18Z The climate in Svalbard is undergoing amplified change compared to the global mean. This has major implications for runoff from glaciers and seasonal snow on land. We use a coupled energy balance–subsurface model, forced with downscaled regional climate model fields, and apply it to both glacier-covered and land areas in Svalbard. This generates a long-term (1957–2018) distributed dataset of climatic mass balance (CMB) for the glaciers, snow conditions, and runoff with a 1 km×1 km spatial and 3-hourly temporal resolution. Observational data including stake measurements, automatic weather station data, and subsurface data across Svalbard are used for model calibration and validation. We find a weakly positive mean net CMB (+0.09 m w.e. a−1) over the simulation period, which only fractionally compensates for mass loss through calving. Pronounced warming and a small precipitation increase lead to a spatial-mean negative net CMB trend (−0.06 m w.e. a−1 decade−1), and an increase in the equilibrium line altitude (ELA) by 17 m decade−1, with the largest changes in southern and central Svalbard. The retreating ELA in turn causes firn air volume to decrease by 4 % decade−1, which in combination with winter warming induces a substantial reduction of refreezing in both glacier-covered and land areas (average −4 % decade−1). A combination of increased melt and reduced refreezing causes glacier runoff (average 34.3 Gt a−1) to double over the simulation period, while discharge from land (average 10.6 Gt a−1) remains nearly unchanged. As a result, the relative contribution of land runoff to total runoff drops from 30 % to 20 % during 1957–2018. Seasonal snow on land and in glacier ablation zones is found to arrive later in autumn (+1.4 d decade−1), while no significant changes occurred on the date of snow disappearance in spring–summer. Altogether, the output of the simulation provides an extensive dataset that may be of use in a wide range of applications ranging from runoff modelling to ecosystem studies. Article in Journal/Newspaper glacier Svalbard The Cryosphere Unknown Ela ENVELOPE(9.642,9.642,63.170,63.170) Svalbard The Cryosphere 13 9 2259 2280
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
W. van Pelt
V. Pohjola
R. Pettersson
S. Marchenko
J. Kohler
B. Luks
J. O. Hagen
T. V. Schuler
T. Dunse
B. Noël
C. Reijmer
A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
topic_facet geo
envir
description The climate in Svalbard is undergoing amplified change compared to the global mean. This has major implications for runoff from glaciers and seasonal snow on land. We use a coupled energy balance–subsurface model, forced with downscaled regional climate model fields, and apply it to both glacier-covered and land areas in Svalbard. This generates a long-term (1957–2018) distributed dataset of climatic mass balance (CMB) for the glaciers, snow conditions, and runoff with a 1 km×1 km spatial and 3-hourly temporal resolution. Observational data including stake measurements, automatic weather station data, and subsurface data across Svalbard are used for model calibration and validation. We find a weakly positive mean net CMB (+0.09 m w.e. a−1) over the simulation period, which only fractionally compensates for mass loss through calving. Pronounced warming and a small precipitation increase lead to a spatial-mean negative net CMB trend (−0.06 m w.e. a−1 decade−1), and an increase in the equilibrium line altitude (ELA) by 17 m decade−1, with the largest changes in southern and central Svalbard. The retreating ELA in turn causes firn air volume to decrease by 4 % decade−1, which in combination with winter warming induces a substantial reduction of refreezing in both glacier-covered and land areas (average −4 % decade−1). A combination of increased melt and reduced refreezing causes glacier runoff (average 34.3 Gt a−1) to double over the simulation period, while discharge from land (average 10.6 Gt a−1) remains nearly unchanged. As a result, the relative contribution of land runoff to total runoff drops from 30 % to 20 % during 1957–2018. Seasonal snow on land and in glacier ablation zones is found to arrive later in autumn (+1.4 d decade−1), while no significant changes occurred on the date of snow disappearance in spring–summer. Altogether, the output of the simulation provides an extensive dataset that may be of use in a wide range of applications ranging from runoff modelling to ecosystem studies.
format Article in Journal/Newspaper
author W. van Pelt
V. Pohjola
R. Pettersson
S. Marchenko
J. Kohler
B. Luks
J. O. Hagen
T. V. Schuler
T. Dunse
B. Noël
C. Reijmer
author_facet W. van Pelt
V. Pohjola
R. Pettersson
S. Marchenko
J. Kohler
B. Luks
J. O. Hagen
T. V. Schuler
T. Dunse
B. Noël
C. Reijmer
author_sort W. van Pelt
title A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
title_short A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
title_full A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
title_fullStr A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
title_full_unstemmed A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
title_sort long-term dataset of climatic mass balance, snow conditions, and runoff in svalbard (1957–2018)
publisher Copernicus Publications
publishDate 2019
url https://doi.org/10.5194/tc-13-2259-2019
https://www.the-cryosphere.net/13/2259/2019/tc-13-2259-2019.pdf
https://doaj.org/article/d397737ac10946f49aff67cac3d49cd3
long_lat ENVELOPE(9.642,9.642,63.170,63.170)
geographic Ela
Svalbard
geographic_facet Ela
Svalbard
genre glacier
Svalbard
The Cryosphere
genre_facet glacier
Svalbard
The Cryosphere
op_source The Cryosphere, Vol 13, Pp 2259-2280 (2019)
op_relation doi:10.5194/tc-13-2259-2019
1994-0416
1994-0424
https://www.the-cryosphere.net/13/2259/2019/tc-13-2259-2019.pdf
https://doaj.org/article/d397737ac10946f49aff67cac3d49cd3
op_rights undefined
op_doi https://doi.org/10.5194/tc-13-2259-2019
container_title The Cryosphere
container_volume 13
container_issue 9
container_start_page 2259
op_container_end_page 2280
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