Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation

The Arctic Ocean receives a net freshwater input from land and from the atmosphere. This flux of freshwater, along with net surface heat loss, acts to transform the water mass properties of inflowing Atlantic and Pacific waters. In this study, model simulations are used to quantify the Arctic water...

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Published in:Journal of Geophysical Research: Oceans
Main Authors: Lambert, Erwin, Nummelin, Aleksi, Pemberton, Per, Ilicak, Mehmet
Format: Article in Journal/Newspaper
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/11250/2649855
https://doi.org/10.1029/2017JC013704
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spelling ftnorce:oai:norceresearch.brage.unit.no:11250/2649855 2024-06-23T07:49:06+00:00 Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation Lambert, Erwin Nummelin, Aleksi Pemberton, Per Ilicak, Mehmet 2019 application/pdf https://hdl.handle.net/11250/2649855 https://doi.org/10.1029/2017JC013704 eng eng Norges forskningsråd: 229763 Nordforsk: 76654 Journal of Geophysical Research (JGR): Space Physics. 2019, 124 (1), 302-319. urn:issn:2169-9380 https://hdl.handle.net/11250/2649855 https://doi.org/10.1029/2017JC013704 cristin:1741120 CC BY-NC-ND 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/ Journal of Geophysical Research (JGR): Space Physics 124 1 302-319 Peer reviewed Journal article 2019 ftnorce https://doi.org/10.1029/2017JC013704 2024-05-27T03:02:36Z The Arctic Ocean receives a net freshwater input from land and from the atmosphere. This flux of freshwater, along with net surface heat loss, acts to transform the water mass properties of inflowing Atlantic and Pacific waters. In this study, model simulations are used to quantify the Arctic water mass transformation in salinity and temperature space, and its explained variance due to variability in the largest freshwater source to the Arctic: river runoff. This explained variance is quantified using a novel tool, the seasonal climate response function, which describes the magnitude and time scale of adjustment to a runoff perturbation at monthly resolution. Using this method, the transient response of Arctic water mass transformation is reconstructed over time scales ranging from several months to a decade. Model simulations with variable runoff indicate a significant explained model variance of several terms contributing to salinity transformation, including diffusion, the formation and melt of sea ice, and a possibly model‐dependent surface salinity‐restoring term. Most notably, an increase in river runoff strengthens the diffusion of salt and heat, which ultimately leads to an increase in the advective salt and heat import into the Arctic. These results provide evidence for the potential predictability of the Arctic system based on variability in river runoff. publishedVersion Article in Journal/Newspaper Arctic Arctic Ocean Sea ice NORCE vitenarkiv (Norwegian Research Centre) Arctic Arctic Ocean Pacific Journal of Geophysical Research: Oceans 124 1 302 319
institution Open Polar
collection NORCE vitenarkiv (Norwegian Research Centre)
op_collection_id ftnorce
language English
description The Arctic Ocean receives a net freshwater input from land and from the atmosphere. This flux of freshwater, along with net surface heat loss, acts to transform the water mass properties of inflowing Atlantic and Pacific waters. In this study, model simulations are used to quantify the Arctic water mass transformation in salinity and temperature space, and its explained variance due to variability in the largest freshwater source to the Arctic: river runoff. This explained variance is quantified using a novel tool, the seasonal climate response function, which describes the magnitude and time scale of adjustment to a runoff perturbation at monthly resolution. Using this method, the transient response of Arctic water mass transformation is reconstructed over time scales ranging from several months to a decade. Model simulations with variable runoff indicate a significant explained model variance of several terms contributing to salinity transformation, including diffusion, the formation and melt of sea ice, and a possibly model‐dependent surface salinity‐restoring term. Most notably, an increase in river runoff strengthens the diffusion of salt and heat, which ultimately leads to an increase in the advective salt and heat import into the Arctic. These results provide evidence for the potential predictability of the Arctic system based on variability in river runoff. publishedVersion
format Article in Journal/Newspaper
author Lambert, Erwin
Nummelin, Aleksi
Pemberton, Per
Ilicak, Mehmet
spellingShingle Lambert, Erwin
Nummelin, Aleksi
Pemberton, Per
Ilicak, Mehmet
Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
author_facet Lambert, Erwin
Nummelin, Aleksi
Pemberton, Per
Ilicak, Mehmet
author_sort Lambert, Erwin
title Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
title_short Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
title_full Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
title_fullStr Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
title_full_unstemmed Tracing the Imprint of River Runoff Variability on Arctic Water Mass Transformation
title_sort tracing the imprint of river runoff variability on arctic water mass transformation
publishDate 2019
url https://hdl.handle.net/11250/2649855
https://doi.org/10.1029/2017JC013704
geographic Arctic
Arctic Ocean
Pacific
geographic_facet Arctic
Arctic Ocean
Pacific
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_source Journal of Geophysical Research (JGR): Space Physics
124
1
302-319
op_relation Norges forskningsråd: 229763
Nordforsk: 76654
Journal of Geophysical Research (JGR): Space Physics. 2019, 124 (1), 302-319.
urn:issn:2169-9380
https://hdl.handle.net/11250/2649855
https://doi.org/10.1029/2017JC013704
cristin:1741120
op_rights CC BY-NC-ND 4.0
https://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1029/2017JC013704
container_title Journal of Geophysical Research: Oceans
container_volume 124
container_issue 1
container_start_page 302
op_container_end_page 319
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