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Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: empirical and model results
Citation
Duarte, P and Meyer, A and Olsen, LM and Kauko, HM and Assmy, P and Rosel, A and Itkin, P and Hudson, SR and Granskog, MA and Gerland, S and Sundfjord, A and Steen, H and Hop, H and Cohen, L and Peterson, AK and Jeffrey, N and Elliott, SM and Hunke, EC and Turner, AK, Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: empirical and model results, Journal of Geophysical Research: Biogeosciences, 122, (7) pp. 1632-1654. ISSN 2169-8953 (2017) [Refereed Article]
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Copyright Statement
© 2017 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract
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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | Arctic, sea ice, ocean model, CICE evaluation, N-ICE2015, ice thickness, nutrient, algal bloom, ice melt, primary production |
| Research Division: | Earth Sciences |
| Research Group: | Oceanography |
| Research Field: | Physical Oceanography |
| Objective Division: | Environment |
| Objective Group: | Other Environment |
| Objective Field: | Marine Oceanic Processes (excl. climate related) |
| UTAS Author: | Meyer, A (Dr Amelie Meyer) |
| ID Code: | 125324 |
| Year Published: | 2017 |
| Web of Science® Times Cited: | 4 |
| Deposited By: | Oceans and Cryosphere |
| Deposited On: | 2018-04-12 |
| Last Modified: | 2018-05-04 |
| Downloads: | 14 View Download Statistics |
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