Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales

Seasonal, interannual, and decadal variations in the Arctic ice‐algal productivity for 1980–2009 are investigated using daily outputs from five sea ice‐ocean ecosystem models participating in the Forum for Arctic Modeling and Observational Synthesis project. The models show a shelf‐basin contrast in...

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Published in:Journal of Geophysical Research: Oceans
Main Authors: Watanabe, E, Jin, M, Hayashida, H, Zhang, J, Steiner, J
Format: Article in Journal/Newspaper
Language:English
Published: Wiley-Blackwell Publishing Inc. 2019
Subjects:
Online Access:https://eprints.utas.edu.au/33246/
https://eprints.utas.edu.au/33246/1/137171%20-%20Multi%26-8208-model%20intercomparison%20of%20the%20pan-Arctic%20ice-algal%20productivity.pdf
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spelling ftunivtasmania:oai:eprints.utas.edu.au:33246 2023-05-15T14:23:27+02:00 Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales Watanabe, E Jin, M Hayashida, H Zhang, J Steiner, J 2019 application/pdf https://eprints.utas.edu.au/33246/ https://eprints.utas.edu.au/33246/1/137171%20-%20Multi%26-8208-model%20intercomparison%20of%20the%20pan-Arctic%20ice-algal%20productivity.pdf en eng Wiley-Blackwell Publishing Inc. https://eprints.utas.edu.au/33246/1/137171%20-%20Multi%26-8208-model%20intercomparison%20of%20the%20pan-Arctic%20ice-algal%20productivity.pdf Watanabe, E, Jin, M, Hayashida, H orcid:0000-0002-6349-4947 , Zhang, J and Steiner, J 2019 , 'Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales' , Journal of Geophysical Research: Oceans, vol. 124, no. 12 , pp. 9053-9084 , doi:10.1029/2019JC015100 <http://dx.doi.org/10.1029/2019JC015100>. arctic biogeochemistry numerical modelling sea ice primary production dimethylsulfide Article PeerReviewed 2019 ftunivtasmania https://doi.org/10.1029/2019JC015100 2021-09-20T22:18:41Z Seasonal, interannual, and decadal variations in the Arctic ice‐algal productivity for 1980–2009 are investigated using daily outputs from five sea ice‐ocean ecosystem models participating in the Forum for Arctic Modeling and Observational Synthesis project. The models show a shelf‐basin contrast in the spatial distribution of ice‐algal productivity (ice‐PP). The simulated ice‐PP substantially varies among the four subregions (Chukchi Sea, Canada Basin, Eurasian Basin, and Barents Sea) and among the five models, respectively. The simulated annual total ice‐PP has no common decadal trend at least for 1980–2009 among the five models in any of the four subregions, although the simulated snow depth and sea‐ice thickness in spring are mostly declining. The model intercomparison indicates that an appropriate balance of stable ice‐algal habitat (i.e., sea‐ice cover) and enough light availability is necessary to retain the ice‐PP. The multi‐model averages show that the ice‐algal bloom timing shifts to an earlier date and that the bloom duration shortens in the four subregions. However, both the positive and negative decadal trends in the timing and duration are simulated. This difference in trends are attributed to temporal shifts among different types of ice‐algal blooms: long‐massive, short‐massive, long‐gentle, and short‐gentle bloom. The selected value for the maximum growth rate of the ice‐algal photosynthesis term is a key source for the inter‐model spreads. Understanding the simulated uncertainties on the pan‐Arctic and decadal scales is expected to improve coupled sea ice‐ocean ecosystem models. This step will be a baseline for further modeling/field studies and future projections. Article in Journal/Newspaper Arctic Arctic Barents Sea canada basin Chukchi Chukchi Sea Sea ice University of Tasmania: UTas ePrints Arctic Barents Sea Canada Chukchi Sea Journal of Geophysical Research: Oceans 124 12 9053 9084
institution Open Polar
collection University of Tasmania: UTas ePrints
op_collection_id ftunivtasmania
language English
topic arctic
biogeochemistry
numerical modelling
sea ice
primary production
dimethylsulfide
spellingShingle arctic
biogeochemistry
numerical modelling
sea ice
primary production
dimethylsulfide
Watanabe, E
Jin, M
Hayashida, H
Zhang, J
Steiner, J
Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales
topic_facet arctic
biogeochemistry
numerical modelling
sea ice
primary production
dimethylsulfide
description Seasonal, interannual, and decadal variations in the Arctic ice‐algal productivity for 1980–2009 are investigated using daily outputs from five sea ice‐ocean ecosystem models participating in the Forum for Arctic Modeling and Observational Synthesis project. The models show a shelf‐basin contrast in the spatial distribution of ice‐algal productivity (ice‐PP). The simulated ice‐PP substantially varies among the four subregions (Chukchi Sea, Canada Basin, Eurasian Basin, and Barents Sea) and among the five models, respectively. The simulated annual total ice‐PP has no common decadal trend at least for 1980–2009 among the five models in any of the four subregions, although the simulated snow depth and sea‐ice thickness in spring are mostly declining. The model intercomparison indicates that an appropriate balance of stable ice‐algal habitat (i.e., sea‐ice cover) and enough light availability is necessary to retain the ice‐PP. The multi‐model averages show that the ice‐algal bloom timing shifts to an earlier date and that the bloom duration shortens in the four subregions. However, both the positive and negative decadal trends in the timing and duration are simulated. This difference in trends are attributed to temporal shifts among different types of ice‐algal blooms: long‐massive, short‐massive, long‐gentle, and short‐gentle bloom. The selected value for the maximum growth rate of the ice‐algal photosynthesis term is a key source for the inter‐model spreads. Understanding the simulated uncertainties on the pan‐Arctic and decadal scales is expected to improve coupled sea ice‐ocean ecosystem models. This step will be a baseline for further modeling/field studies and future projections.
format Article in Journal/Newspaper
author Watanabe, E
Jin, M
Hayashida, H
Zhang, J
Steiner, J
author_facet Watanabe, E
Jin, M
Hayashida, H
Zhang, J
Steiner, J
author_sort Watanabe, E
title Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales
title_short Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales
title_full Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales
title_fullStr Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales
title_full_unstemmed Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales
title_sort multi-model intercomparison of the pan-arctic ice-algal productivity on seasonal, interannual, and decadal timescales
publisher Wiley-Blackwell Publishing Inc.
publishDate 2019
url https://eprints.utas.edu.au/33246/
https://eprints.utas.edu.au/33246/1/137171%20-%20Multi%26-8208-model%20intercomparison%20of%20the%20pan-Arctic%20ice-algal%20productivity.pdf
geographic Arctic
Barents Sea
Canada
Chukchi Sea
geographic_facet Arctic
Barents Sea
Canada
Chukchi Sea
genre Arctic
Arctic
Barents Sea
canada basin
Chukchi
Chukchi Sea
Sea ice
genre_facet Arctic
Arctic
Barents Sea
canada basin
Chukchi
Chukchi Sea
Sea ice
op_relation https://eprints.utas.edu.au/33246/1/137171%20-%20Multi%26-8208-model%20intercomparison%20of%20the%20pan-Arctic%20ice-algal%20productivity.pdf
Watanabe, E, Jin, M, Hayashida, H orcid:0000-0002-6349-4947 , Zhang, J and Steiner, J 2019 , 'Multi-model intercomparison of the pan-Arctic ice-algal productivity on seasonal, interannual, and decadal timescales' , Journal of Geophysical Research: Oceans, vol. 124, no. 12 , pp. 9053-9084 , doi:10.1029/2019JC015100 <http://dx.doi.org/10.1029/2019JC015100>.
op_doi https://doi.org/10.1029/2019JC015100
container_title Journal of Geophysical Research: Oceans
container_volume 124
container_issue 12
container_start_page 9053
op_container_end_page 9084
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