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Investigating controls on sea ice algal production using E3SMv1.1-BGC

Journal Article · · Annals of Glaciology
DOI:https://doi.org/10.1017/aog.2020.7· OSTI ID:1737355
 [1];  [1];  [1];  [2];  [1];  [1];  [3];  [4];  [5];  [6];  [3]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Xiamen Univ., Fujian (China)
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); National Center for Atmospheric Research, Boulder, CO (United States)
  6. Naval Postgraduate School, Monterey, CA (United States)
+ Show Author Affiliations
We present the analysis of global sympagic primary production (PP) from 300 years of pre-industrial and historical simulations of the E3SMv1.1-BGC model. The model includes a novel, eight-element sea ice biogeochemical component, MPAS-Seaice zbgc, which is resolved in three spatial dimensions and uses a vertical transport scheme based on internal brine dynamics. Modeled ice algal chlorophyll-a concentrations and column-integrated values are broadly consistent with observations, though chl-a profile fractions indicate that upper ice communities of the Southern Ocean are underestimated. Simulations of polar integrated sea ice PP support the lower bound in published estimates for both polar regions with mean Arctic values of 7.5 and 15.5 TgC/a in the Southern Ocean. However, comparisons of the polar climate state with observations, using a maximal bound for ice algal growth rates, suggest that the Arctic lower bound is a significant underestimation driven by biases in ocean surface nitrate, and that correction of these biases supports as much as 60.7 TgC/a of net Arctic PP. Simulated Southern Ocean sympagic PP is predominantly light-limited, and regional patterns, particularly in the coastal high production band, are found to be negatively correlated with snow thickness.
Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Office of Science (SC). Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
89233218CNA000001; AC05-00OR22725; AC05-76RL01830
OSTI ID:
1737355
Alternate ID(s):
OSTI ID: 1765488
OSTI ID: 1776757
Report Number(s):
LA-UR--19-30579; PNNL-SA--151063
Journal Information:
Annals of Glaciology, Journal Name: Annals of Glaciology Journal Issue: 82 Vol. 61; ISSN 0260-3055
Publisher:
International Glaciological SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

54 ENVIRONMENTAL SCIENCES
Earth Sciences
biogeochemistry
modeling
polar
primary production
sea ice
seaice
biogeochemistry
modeling
polar ecosystems