CSIB v1: a sea-ice biogeochemical model for the NEMO community
ocean modelling framework

Hayashida, Hakase; Christian, James R.; Holdsworth, Amber M.; Hu, Xianmin; Monahan, Adam H.; Mortenson, Eric; Myers, Paul G.; Riche, Olivier G. J.; Sou, Tessa; Steiner, Nadja

doi:10.5194/gmd-2018-191

Cited by 4 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pan-Arctic representation of NAA-CanOE-CSIB model has been evaluated in detail in Hayashida et al (2018) and Hayashida (2018) and shows good correspondence with available observations. A more detailed analysis with respect to recent changes in the Western Canadian Arctic is included in the Supplementary Material (section S1.2).…”

Section: Ocean Ecosystem Model Results: Recent Pastmentioning

confidence: 94%

“…NAA-CMOC has been forced with output from CanRCM4 with 22 km resolution to simulate the years 2006-2085. NAA has now also been coupled with the higher complexity pelagic Canadian ocean ecosystem model (CanOE) and the Canadian sea-ice biogeochemistry model (CSIB) (Hayashida, 2018;Hayashida et al, 2018), which allows a more direct link to ice associated species feeding directly or indirectly (via sympagic zooplankton grazers) on ice algae, i.e., Arctic cod. NAA-CanOE-CSIB has been run from 1969 to 2015 to investigate the interannual variability and trends in sea-ice and pelagic primary production in recent decades in the Arctic Ocean.…”

Section: Ocean Ecosystem Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of the Changing Ocean-Sea Ice System on the Key Forage Fish Arctic Cod (Boreogadus Saida) and Subsistence Fisheries in the Western Canadian Arctic—Evaluating Linked Climate, Ecosystem and Economic (CEE) Models

et al. 2019

Self Cite

View full text Add to dashboard Cite

Section: Ocean Ecosystem Model Results: Recent Pastmentioning

confidence: 94%

Section: Ocean Ecosystem Modelsmentioning

confidence: 99%

Impacts of the Changing Ocean-Sea Ice System on the Key Forage Fish Arctic Cod (Boreogadus Saida) and Subsistence Fisheries in the Western Canadian Arctic—Evaluating Linked Climate, Ecosystem and Economic (CEE) Models

et al. 2019

Self Cite

View full text Add to dashboard Cite

“…The sea‐ice ecosystem model used at the UVic is the Canadian Sea‐ice Biogeochemistry model version 1 (CSIB v1) coupled with a modified version from the Canadian Ocean Ecosystem model (CanOE) (Hayashida et al, ). The sea‐ice ecosystem consists of ice algae, nitrate, and ammonium (Hayashida et al, ; Mortenson et al, ).…”

Section: Model Configuration and Experimental Designmentioning

confidence: 99%

“…According to these studies, the complicated ice‐algal processes have been numerically formulated in various ways. In recent years, the model domains extended from a single landfast ice station to the pan‐Arctic scale (Castellani et al, ; Deal et al, ; Hayashida et al, ; Watanabe et al, ). Decadal simulations in the three‐dimensional framework are also performed by several research groups.…”

Section: Introductionmentioning

confidence: 99%

Multi‐Model Intercomparison of the Pan‐Arctic Ice‐Algal Productivity on Seasonal, Interannual, and Decadal Timescales

et al. 2019

Self Cite

View full text Add to dashboard Cite

Seasonal, interannual, and decadal variations in the Arctic ice‐algal productivity for 1980–2009 are investigated using daily outputs from five sea ice‐ocean ecosystem models participating in the Forum for Arctic Modeling and Observational Synthesis project. The models show a shelf‐basin contrast in the spatial distribution of ice‐algal productivity (ice‐PP). The simulated ice‐PP substantially varies among the four subregions (Chukchi Sea, Canada Basin, Eurasian Basin, and Barents Sea) and among the five models, respectively. The simulated annual total ice‐PP has no common decadal trend at least for 1980–2009 among the five models in any of the four subregions, although the simulated snow depth and sea‐ice thickness in spring are mostly declining. The model intercomparison indicates that an appropriate balance of stable ice‐algal habitat (i.e., sea‐ice cover) and enough light availability is necessary to retain the ice‐PP. The multi‐model averages show that the ice‐algal bloom timing shifts to an earlier date and that the bloom duration shortens in the four subregions. However, both the positive and negative decadal trends in the timing and duration are simulated. This difference in trends are attributed to temporal shifts among different types of ice‐algal blooms: long‐massive, short‐massive, long‐gentle, and short‐gentle bloom. The selected value for the maximum growth rate of the ice‐algal photosynthesis term is a key source for the inter‐model spreads. Understanding the simulated uncertainties on the pan‐Arctic and decadal scales is expected to improve coupled sea ice‐ocean ecosystem models. This step will be a baseline for further modeling/field studies and future projections.

show abstract

“…Subsequently, sulfur and inorganic carbon cycling were developed and implemented into the model Mortenson et al, 2018). The simulated Arctic sea ice ecosystem and sulfur cycle were next incorporated into a three-dimensional (3-D) regional configuration (Hayashida et al, 2018a(Hayashida et al, , 2018b. This model advances previous Arctic-focused DMS model studies (Elliott et al, 2012;Jodwalis et al, 2000) in that many of the parameters concerning the DMS production are derived from recent field observations in the Arctic, enabling quantification of the relative 30 contributions of ice algae and phytoplankton to DMS production and emissions.…”

Section: Connecting the Ocean Sea Ice And The Atmosphere Through Dmsmentioning

confidence: 99%

New insights into aerosol and climate in the Arctic

Abbatt

Leaitch

Aliabadi

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

<p><strong>Abstract.</strong> Motivated by the need to predict how the Arctic atmosphere will change in a warming world, this article summarizes recent advances made by the research consortium NETCARE (Network on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments) that contribute to our fundamental understanding of Arctic aerosol particles as they relate to climate forcing. The overall goal of NETCARE research has been to use an interdisciplinary approach encompassing extensive field observations and a range of chemical transport, earth system, and biogeochemical models. Several major findings and advances have emerged from NETCARE since its formation in 2013 . (1) Unexpectedly high summertime dimethyl sulfide (DMS) levels were identified in ocean water and the overlying atmosphere in the Canadian Arctic Archipelago (CAA). Furthermore, melt ponds, which are widely prevalent, were identified as an important DMS source. (2) Evidence was found of widespread particle nucleation and growth in the marine boundary layer in the CAA in the summertime. DMS-oxidation-driven nucleation is facilitated by the presence of atmospheric ammonia arising from sea bird colony emissions, and potentially also from coastal regions, tundra, and biomass burning. Via accumulation of secondary organic material (SOA), a significant fraction of the new particles grow to sizes that are active in cloud droplet formation. Although the gaseous precursors to Arctic marine SOA remain poorly defined, the measured levels of common continental SOA precursors (isoprene and monoterpenes) were low, whereas elevated mixing ratios of oxygenated volatile organic compounds were inferred to arise via processes involving the sea surface microlayer. (3) The variability in the vertical distribution of black carbon (BC) under both springtime Arctic haze and more pristine summertime aerosol conditions was observed. Measured particle size distributions and mixing states were used to constrain, for the first time, calculations of aerosol&#8211;climate interactions under Arctic conditions. Aircraft- and ground-based measurements were used to better establish the BC source regions that supply the Arctic via long-range transport mechanisms. (4) Measurements of ice nucleating particles (INPs) in the Arctic indicate that a major source of these particles is mineral dust, likely derived from local sources in the summer and long-range transport in the spring. In addition, INPs are abundant in the sea surface microlayer in the Arctic, and possibly play a role in ice nucleation in the atmosphere when mineral dust concentrations are low. (5) Amongst multiple aerosol components, BC was observed to have the smallest effective deposition velocities to high Arctic snow.</p>

show abstract

CSIB v1: a sea-ice biogeochemical model for the NEMO community ocean modelling framework

Cited by 4 publications

References 38 publications

Impacts of the Changing Ocean-Sea Ice System on the Key Forage Fish Arctic Cod (Boreogadus Saida) and Subsistence Fisheries in the Western Canadian Arctic—Evaluating Linked Climate, Ecosystem and Economic (CEE) Models

Impacts of the Changing Ocean-Sea Ice System on the Key Forage Fish Arctic Cod (Boreogadus Saida) and Subsistence Fisheries in the Western Canadian Arctic—Evaluating Linked Climate, Ecosystem and Economic (CEE) Models

Multi‐Model Intercomparison of the Pan‐Arctic Ice‐Algal Productivity on Seasonal, Interannual, and Decadal Timescales

New insights into aerosol and climate in the Arctic

Contact Info

Product

Resources

About