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

Title: Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results
Authors: 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.
Source: Journal of Geophysical Research - Biogeosciences
Publisher Information: American Geophysical Union
Publication Year: 2017
Collection: University of Bergen: Bergen Open Research Archive (BORA-UiB)
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
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: Utenriksdepartementet: ?; Andre: Polarinstituttet Grant Numbers: 221961/F20; Norges forskningsråd: 244646; https://hdl.handle.net/1956/17046; https://doi.org/10.1002/2016jg003660; cristin:1508429
DOI: 10.1002/2016jg003660
Availability: https://hdl.handle.net/1956/17046; https://doi.org/10.1002/2016jg003660
Rights: Attribution CC BY-NC-ND ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Copyright 2017 The Author(s)
Accession Number: edsbas.E8ED28C0
Database: BASE