Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results
Large changes in the sea ice regime of the Arctic Ocean have occurred over the last decades justifying the development of models to forecast sea ice physics and biogeochemistry. The main goal of this study is to evaluate the performance of the Los Alamos Sea Ice Model (CICE) to simulate physical and...
Published in: | Journal of Geophysical Research: Biogeosciences |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
American Geophysical Union
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/1956/17046 https://doi.org/10.1002/2016jg003660 |
id |
ftunivbergen:oai:bora.uib.no:1956/17046 |
---|---|
record_format |
openpolar |
spelling |
ftunivbergen:oai:bora.uib.no:1956/17046 2023-05-15T14:54:46+02:00 Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results Duarte, Pedro Meyer, Amelie Olsen, Lasse Mork Kauko, Hanna Maria Assmy, Philipp Rösel, Anja Itkin, Polona Hudson, Stephen R. Granskog, Mats A. Gerland, Sebastian Sundfjord, Arild Steen, Harald Hop, Haakon Cohen, Lana Peterson, Algot Kristoffer Jeffery, Nicole Elliott, Scott M. Hunke, Elizabeth Clare Turner, Adrian K. 2017-12-14T10:04:08Z application/pdf https://hdl.handle.net/1956/17046 https://doi.org/10.1002/2016jg003660 eng eng American Geophysical Union Utenriksdepartementet: ? Andre: Polarinstituttet Grant Numbers: 221961/F20 Norges forskningsråd: 244646 urn:issn:2169-8953 urn:issn:2169-8961 https://hdl.handle.net/1956/17046 https://doi.org/10.1002/2016jg003660 cristin:1508429 Attribution CC BY-NC-ND http://creativecommons.org/licenses/by-nc-nd/4.0/ Copyright 2017 The Author(s) Journal of Geophysical Research - Biogeosciences Peer reviewed Journal article 2017 ftunivbergen https://doi.org/10.1002/2016jg003660 2023-03-14T17:44:36Z Large changes in the sea ice regime of the Arctic Ocean have occurred over the last decades justifying the development of models to forecast sea ice physics and biogeochemistry. The main goal of this study is to evaluate the performance of the Los Alamos Sea Ice Model (CICE) to simulate physical and biogeochemical properties at time scales of a few weeks and to use the model to analyze ice algal bloom dynamics in different types of ice. Ocean and atmospheric forcing data and observations of the evolution of the sea ice properties collected from 18 April to 4 June 2015, during the Norwegian young sea ICE expedition, were used to test the CICE model. Our results show the following: (i) model performance is reasonable for sea ice thickness and bulk salinity; good for vertically resolved temperature, vertically averaged Chl a concentrations, and standing stocks; and poor for vertically resolved Chl a concentrations. (ii) Improving current knowledge about nutrient exchanges, ice algal recruitment, and motion is critical to improve sea ice biogeochemical modeling. (iii) Ice algae may bloom despite some degree of basal melting. (iv) Ice algal motility driven by gradients in limiting factors is a plausible mechanism to explain their vertical distribution. (v) Different ice algal bloom and net primary production (NPP) patterns were identified in the ice types studied, suggesting that ice algal maximal growth rates will increase, while sea ice vertically integrated NPP and biomass will decrease as a result of the predictable increase in the area covered by refrozen leads in the Arctic Ocean. publishedVersion Article in Journal/Newspaper Arctic Arctic Ocean ice algae Sea ice University of Bergen: Bergen Open Research Archive (BORA-UiB) Arctic Arctic Ocean Journal of Geophysical Research: Biogeosciences 122 7 1632 1654 |
institution |
Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
description |
Large changes in the sea ice regime of the Arctic Ocean have occurred over the last decades justifying the development of models to forecast sea ice physics and biogeochemistry. The main goal of this study is to evaluate the performance of the Los Alamos Sea Ice Model (CICE) to simulate physical and biogeochemical properties at time scales of a few weeks and to use the model to analyze ice algal bloom dynamics in different types of ice. Ocean and atmospheric forcing data and observations of the evolution of the sea ice properties collected from 18 April to 4 June 2015, during the Norwegian young sea ICE expedition, were used to test the CICE model. Our results show the following: (i) model performance is reasonable for sea ice thickness and bulk salinity; good for vertically resolved temperature, vertically averaged Chl a concentrations, and standing stocks; and poor for vertically resolved Chl a concentrations. (ii) Improving current knowledge about nutrient exchanges, ice algal recruitment, and motion is critical to improve sea ice biogeochemical modeling. (iii) Ice algae may bloom despite some degree of basal melting. (iv) Ice algal motility driven by gradients in limiting factors is a plausible mechanism to explain their vertical distribution. (v) Different ice algal bloom and net primary production (NPP) patterns were identified in the ice types studied, suggesting that ice algal maximal growth rates will increase, while sea ice vertically integrated NPP and biomass will decrease as a result of the predictable increase in the area covered by refrozen leads in the Arctic Ocean. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Duarte, Pedro Meyer, Amelie Olsen, Lasse Mork Kauko, Hanna Maria Assmy, Philipp Rösel, Anja Itkin, Polona Hudson, Stephen R. Granskog, Mats A. Gerland, Sebastian Sundfjord, Arild Steen, Harald Hop, Haakon Cohen, Lana Peterson, Algot Kristoffer Jeffery, Nicole Elliott, Scott M. Hunke, Elizabeth Clare Turner, Adrian K. |
spellingShingle |
Duarte, Pedro Meyer, Amelie Olsen, Lasse Mork Kauko, Hanna Maria Assmy, Philipp Rösel, Anja Itkin, Polona Hudson, Stephen R. Granskog, Mats A. Gerland, Sebastian Sundfjord, Arild Steen, Harald Hop, Haakon Cohen, Lana Peterson, Algot Kristoffer Jeffery, Nicole Elliott, Scott M. Hunke, Elizabeth Clare Turner, Adrian K. Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results |
author_facet |
Duarte, Pedro Meyer, Amelie Olsen, Lasse Mork Kauko, Hanna Maria Assmy, Philipp Rösel, Anja Itkin, Polona Hudson, Stephen R. Granskog, Mats A. Gerland, Sebastian Sundfjord, Arild Steen, Harald Hop, Haakon Cohen, Lana Peterson, Algot Kristoffer Jeffery, Nicole Elliott, Scott M. Hunke, Elizabeth Clare Turner, Adrian K. |
author_sort |
Duarte, Pedro |
title |
Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results |
title_short |
Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results |
title_full |
Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results |
title_fullStr |
Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results |
title_full_unstemmed |
Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results |
title_sort |
sea ice thermohaline dynamics and biogeochemistry in the arctic ocean: empirical and model results |
publisher |
American Geophysical Union |
publishDate |
2017 |
url |
https://hdl.handle.net/1956/17046 https://doi.org/10.1002/2016jg003660 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean ice algae Sea ice |
genre_facet |
Arctic Arctic Ocean ice algae Sea ice |
op_source |
Journal of Geophysical Research - Biogeosciences |
op_relation |
Utenriksdepartementet: ? Andre: Polarinstituttet Grant Numbers: 221961/F20 Norges forskningsråd: 244646 urn:issn:2169-8953 urn:issn:2169-8961 https://hdl.handle.net/1956/17046 https://doi.org/10.1002/2016jg003660 cristin:1508429 |
op_rights |
Attribution CC BY-NC-ND http://creativecommons.org/licenses/by-nc-nd/4.0/ Copyright 2017 The Author(s) |
op_doi |
https://doi.org/10.1002/2016jg003660 |
container_title |
Journal of Geophysical Research: Biogeosciences |
container_volume |
122 |
container_issue |
7 |
container_start_page |
1632 |
op_container_end_page |
1654 |
_version_ |
1766326518317842432 |