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Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: empirical and model results


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]


Copyright Statement

2017 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

DOI: doi:10.1002/2016JG003660


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:Environmental Management
Objective Group:Marine systems and management
Objective Field:Oceanic processes (excl. in the Antarctic and Southern Ocean)
UTAS Author:Meyer, A (Dr Amelie Meyer)
ID Code:125324
Year Published:2017
Web of Science® Times Cited:19
Deposited By:Oceans and Cryosphere
Deposited On:2018-04-12
Last Modified:2018-05-04
Downloads:87 View Download Statistics

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