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: Pelt, Ward, Pohjola, Veijo, Pettersson, Rickard, Marchenko, Sergey, Kohler, Jack, Luks, Bartłomiej, Hagen, Jon Ove, Schuler, Thomas V., Dunse, Thorben, Noël, Brice, Reijmer, Carleen
Format: Text
Language:English
Published: 2019
Subjects:
Ela
Online Access:https://doi.org/10.5194/tc-13-2259-2019
https://tc.copernicus.org/articles/13/2259/2019/
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spelling ftcopernicus:oai:publications.copernicus.org:tc75215 2023-05-15T16:22:09+02:00 A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018) Pelt, Ward Pohjola, Veijo Pettersson, Rickard Marchenko, Sergey Kohler, Jack Luks, Bartłomiej Hagen, Jon Ove Schuler, Thomas V. Dunse, Thorben Noël, Brice Reijmer, Carleen 2019-09-03 application/pdf https://doi.org/10.5194/tc-13-2259-2019 https://tc.copernicus.org/articles/13/2259/2019/ eng eng doi:10.5194/tc-13-2259-2019 https://tc.copernicus.org/articles/13/2259/2019/ eISSN: 1994-0424 Text 2019 ftcopernicus https://doi.org/10.5194/tc-13-2259-2019 2020-07-20T16:22:40Z 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. Text glacier Svalbard Copernicus Publications: E-Journals Ela ENVELOPE(9.642,9.642,63.170,63.170) Svalbard The Cryosphere 13 9 2259 2280
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 Text
author Pelt, Ward
Pohjola, Veijo
Pettersson, Rickard
Marchenko, Sergey
Kohler, Jack
Luks, Bartłomiej
Hagen, Jon Ove
Schuler, Thomas V.
Dunse, Thorben
Noël, Brice
Reijmer, Carleen
spellingShingle Pelt, Ward
Pohjola, Veijo
Pettersson, Rickard
Marchenko, Sergey
Kohler, Jack
Luks, Bartłomiej
Hagen, Jon Ove
Schuler, Thomas V.
Dunse, Thorben
Noël, Brice
Reijmer, Carleen
A long-term dataset of climatic mass balance, snow conditions, and runoff in Svalbard (1957–2018)
author_facet Pelt, Ward
Pohjola, Veijo
Pettersson, Rickard
Marchenko, Sergey
Kohler, Jack
Luks, Bartłomiej
Hagen, Jon Ove
Schuler, Thomas V.
Dunse, Thorben
Noël, Brice
Reijmer, Carleen
author_sort Pelt, Ward
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)
publishDate 2019
url https://doi.org/10.5194/tc-13-2259-2019
https://tc.copernicus.org/articles/13/2259/2019/
long_lat ENVELOPE(9.642,9.642,63.170,63.170)
geographic Ela
Svalbard
geographic_facet Ela
Svalbard
genre glacier
Svalbard
genre_facet glacier
Svalbard
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-13-2259-2019
https://tc.copernicus.org/articles/13/2259/2019/
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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