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

Abstract

Here, 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 explainmore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [1]; ORCiD logo [1];  [1];  [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6];  [6]; ORCiD logo [6]; ORCiD logo [6]
  1. Norwegian Polar Institute, Tromso (Norway)
  2. Norwegian Polar Institute, Tromso (Norway); Norwegian Univ. of Science and Technology, Trondheim (Norway)
  3. Norwegian Polar Institute, Tromsa (Norway); UiT the Artic Univ. of Norway, Tromso (Norway)
  4. Norwegian Polar Institute, Tromsa (Norway)
  5. Univ. in Bergen, Bergen (Norway)
  6. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1372795
Report Number(s):
LA-UR-16-27818
Journal ID: ISSN 2169-8953
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 122; Journal Issue: 7; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Earth Sciences; sea ice, biogeochemistry, Arctic Ocean

Citation Formats

Duarte, Pedro, Meyer, Amelie, Olsen, Lasse M., Kauko, Hanna M., Assmy, Philipp, Rosel, Anja, Itkin, Polona, Hudson, Stephen R., Granskog, Mats A., Gerland, Sebastian, Sundfjord, Arild, Steen, Harald, Hop, Haakon, Cohen, Lana, Peterson, Algot K., Jeffery, Nicole, Elliott, Scott M., Hunke, Elizabeth Clare, and Turner, Adrian Keith. Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results. United States: N. p., 2017. Web. doi:10.1002/2016JG003660.
Duarte, Pedro, Meyer, Amelie, Olsen, Lasse M., Kauko, Hanna M., Assmy, Philipp, Rosel, Anja, Itkin, Polona, Hudson, Stephen R., Granskog, Mats A., Gerland, Sebastian, Sundfjord, Arild, Steen, Harald, Hop, Haakon, Cohen, Lana, Peterson, Algot K., Jeffery, Nicole, Elliott, Scott M., Hunke, Elizabeth Clare, & Turner, Adrian Keith. Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results. United States. doi:10.1002/2016JG003660.
Duarte, Pedro, Meyer, Amelie, Olsen, Lasse M., Kauko, Hanna M., Assmy, Philipp, Rosel, Anja, Itkin, Polona, Hudson, Stephen R., Granskog, Mats A., Gerland, Sebastian, Sundfjord, Arild, Steen, Harald, Hop, Haakon, Cohen, Lana, Peterson, Algot K., Jeffery, Nicole, Elliott, Scott M., Hunke, Elizabeth Clare, and Turner, Adrian Keith. Thu . "Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results". United States. doi:10.1002/2016JG003660. https://www.osti.gov/servlets/purl/1372795.
@article{osti_1372795,
title = {Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results},
author = {Duarte, Pedro and Meyer, Amelie and Olsen, Lasse M. and Kauko, Hanna M. and Assmy, Philipp and Rosel, Anja and Itkin, Polona and Hudson, Stephen R. and Granskog, Mats A. and Gerland, Sebastian and Sundfjord, Arild and Steen, Harald and Hop, Haakon and Cohen, Lana and Peterson, Algot K. and Jeffery, Nicole and Elliott, Scott M. and Hunke, Elizabeth Clare and Turner, Adrian Keith},
abstractNote = {Here, 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.},
doi = {10.1002/2016JG003660},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 7,
volume = 122,
place = {United States},
year = {Thu Jun 08 00:00:00 EDT 2017},
month = {Thu Jun 08 00:00:00 EDT 2017}
}

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