Atlantis model outputs - Developing end-to-end models of the California Current Large Marine Ecosystem

The purpose of this project is to develop spatially discrete end-to-end models of the California Current LME, linking oceanography, biogeochemistry, food web interactions, habitat, fisheries, economics, monitoring, and management into a common model framework. This framework allows for thought experiments, including evaluation of alternate management strategies, identifying robust indicators, and assessing relative importance of different ecosystem drivers in regulating important processes. NMFS personnel are conducting this work in broad collaboration with other NOAA scientists, academics, and NGOs. The specific work entails model development, scoping issues with stakeholders and policy makers, running scenarios, and analyzing and writing up the results. Products will include peer-reviewed papers, presentations, and workshops with modelers and/or stakeholders. Management audiences include NMFS west coast regions and the PFMC. The project is an on-going, stand-alone project with no firm deadline for completion.

Results of Atlantis ecosystem model simulations

Metadata and .nc datafile at https://www.nodc.noaa.gov/oceanacidification/data/0131198.xml

Generated from Atlantis ecosystem model, version AtlantisTrunk5425.

Model code from CSIRO Australia, available via SVN after contacting CSIRO staff at http://atlantis.cmar.csiro.au/.

Subject to Public Access to Research Results (PARR): Yes

http://www.nodc.noaa.gov/oceanacidification/data/0131198.xml

NA

Scientific peer review (external), see http://www.nwfsc.noaa.gov/research/divisions/cb/ecosystem/marineecology/aem.cfm

No Delay

The Northwest Fisheries Science Center facilitates backup and recovery of all data and IT components which are managed by IT Operations through the capture of static (point-in-time) backup data to physical media. Once data is captured to physical media (every 1-3 days), a duplicate is made and routinely (weekly) transported to an offsite archive facility where it is maintained throughout the data's applicable life-cycle.

Excel compilation and averaging of abundance information: These data were collected and processed in accordance with established protocols and best practices under the direction of the project’s Principal Investigator. Contact the dataset Data Manager for full QA/QC methodology.