A Canada-wide ocean biogeochemical model encompassing the North Atlantic, North Pacific and Arctic Oceans

Description

Description: This dataset consists of monthly mean simulation results from Canada's three Oceans: the Atlantic, Pacific and Arctic from 2015 to 2017. Abstract from the report: A numerical ocean model with biogeochemistry has been developed for a domain that spans Canada's three oceans: the Atlantic, Pacific and Arctic. The domain extends to 26°N in the Atlantic and 44°N in the Pacific, and spans the full width of each basin as well as the whole of the Arctic Ocean. The resolution is moderate to high (≈0.25°, 75 levels). A series of simulations was conducted to assess the best choices for biogeochemical model parameters across the diverse regions, using a variety of validation data sets including satellite ocean colour (surface chlorophyll and particulate organic carbon, integrated primary production), surface underway pCO2, and depth profiles of oxygen and nitrate concentration from ships and Argo floats. In addition to parameter values, processes examined include interactive sediments, fluvial nutrients, light attenuation by fluvial coloured dissolved organic matter (CDOM), and iron limitation. The results indicate that the optimal parameter set is one that limits phytoplankton losses to grazing and other processes so as to ensure strong biological drawdown of dissolved inorganic carbon and nutrients in spring and summer; among the parameter sets tested both insufficient and excessive drawdown were observed. Sensitivity to other processes such as interactive sediments, fluvial nutrients or CDOM attenuation was weak in most regions. In some regions, attenuation by CDOM or sequestration of nutrients in the sediment can substantially reduce primary production and zooplankton biomass, and fluvial nutrients can cause localized reduction of pCO2 by as much as 60 μatm. Iron limitation has an effect on the model solution in regions generally considered iron-replete; building a model that successfully spans iron-limited and non-iron-limited domains will require complete and accurate specification of iron sources and sinks.

Resources

Name Format Description Link
Monthly mean simulation results 2015-2017 –CHL NetCDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/CREG025_LIM3_CANOE-VJChc1_monthly_chl.zip
Monthly mean simulation results 2015-2017 –NO3 NetCDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/CREG025_LIM3_CANOE-VJChc1_monthly_NO3.zip
Monthly mean simulation results 2015-2017 – O2 NetCDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/CREG025_LIM3_CANOE-VJChc1_monthly_O2.zip
Monthly mean simulation results 2015-2017 –pCO2 NetCDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/CREG025_LIM3_CANOE-VJChc1_monthly_pco2.zip
Monthly mean simulation results 2015-2017 –Salinity NetCDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/CREG025_LIM3_CANOE-VJChc1_monthly_S.zip
Monthly mean simulation results 2015-2017 –Temperature NetCDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/CREG025_LIM3_CANOE-VJChc1_monthly_T.nc.gz
Data Dictionary PDF https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/1c9e3a85-88e1-4ec6-88dd-604781eae399/attachments/Data_Dictionary_three_oceans_EN_FR.pdf
Monthly mean simulation results 2015-2017 Ersi REST https://egisp.dfo-mpo.gc.ca/arcgis/rest/services/open_data_donnees_ouvertes/canada_wide_data_model/MapServer
Monthly mean simulation results 2015-2017 Ersi REST https://egisp.dfo-mpo.gc.ca/arcgis/rest/services/open_data_donnees_ouvertes/canada_wide_data_model/MapServer

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