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Impact model: Atlantis (SE Australia)

Sector
Fisheries (regional)
Region
regional

Atlantis (SE Australia) is one of the 9 regional models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a regional fisheries & marine ecosystems sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; regional) Sector, see this DOI link: http://doi.org/10.5880/PIK.2018.004

Information for the model Atlantis (SE Australia) is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Confirm data for simulation round ISIMIP2b
Person responsible for model simulations in this simulation round
Beth Fulton: beth.fulton@csiro.au, 0000-0002-5904-7917, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia (USA)
Additional persons involved: Beth Fulton
Output Data
Experiments: nobc_historical_wo-diaz_fishing, nobc_historical_wo-diaz_no-fishing, nobc_rcp26_wo-diaz_fishing, nobc_rcp26_wo-diaz_no-fishing, nobc_rcp45_wo-diaz_fishing, nobc_rcp45_wo-diaz_no-fishing, nobc_rcp60_wo-diaz_fishing, nobc_rcp60_wo-diaz_no-fishing, nobc_rcp85_wo-diaz_fishing, nobc_rcp85_wo-diaz_no-fishing
Climate Drivers: GFDL-ESM2M and IPSL-CM5A-LR (historical and future)
Date: 2021-12-08
Basic information
Model Version: Atlantis 2
Simulation Round Specific Description: SE Australian region - Southern and Eastern Scalefish and Shark Fishery area. Undertaken with and without dynamic fishing changes; used most plausible biological parameterisations (with no evolution under the different RCP forcing)
Resolution
Spatial aggregation: polygons
Additional spatial aggregation & resolution information: Horizontal polygons with up to 7 vertical layers (to cover 3D space)
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Additional temporal resolution information: Hydrodynamic flows, salinity and temperature were entered daily but had to be synthesised/interpolated in some cases from values on longer time steps. In most instances find scale forcing was updated via anomalies taken from global models.
Input data
Emissions data sets used: Atmospheric CO2 concentration
Other human influences data sets used: Fishing intensity
Additional input data sets: Other inputs were as standard for the SE Australian Atlantis runs - including fish market prices, fisheries management zoning, nutrient inputs form atmosphere/sewage/river inputs
Additional information about input variables: Temperature and salinity anomalies were calculated from MIP products to scale dine scale drivers. The pCO2 time series was used to drive the pH/acidification aspects of the model
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Model was run for 25 years wth constant forcing before projections or historical forcing was introduced. This burn-in period was stripped form model output
Management & Adaptation Measures
Management: Current fisheries management measures were assumed to continue unchanged
Extreme Events & Disturbances
Key challenges: Unless called for as part of the scenario no extreme events were included.
 
Defining features: 32 fleets were modelled with different gear types.
Spatial scale: Regional - SE Australia
Spatial resolution: Variable polygons
Temporal resolution: 12 hourly
Taxonomic scope: Mix of species and functional groups
Vertical resolution: Variable (more layers near the surface)
Spatial dispersal included: Via hydrodynamic exchanges and directed movement of some species
Is fishbase used for mass-length conversion?: Where no other information was available
Person responsible for model simulations in this simulation round
Laurent Bopp: laurent.bopp@lsce.ipsl.fr, 0000-0003-4732-4953, Laboratoire des Sciences du Climat et de l'Environment (LSCE) (France)
Beth Fulton: beth.fulton@csiro.au, 0000-0002-5904-7917, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia (USA)
Additional persons involved: Beth Fulton
Output Data
Experiments: reana, scen
Climate Drivers: None
Date: 2017-12-20
Basic information
Model Version: Atlantis 2
Model Output License: CC BY 4.0
Simulation Round Specific Description: SE Australian region - Southern and Eastern Scalefish and Shark Fishery area. Undertaken with and without dynamic fishing changes; used most plausible biological parameterisations (with no evolution under the different RCP forcing)
Resolution
Spatial aggregation: polygons
Horizontal resolution: Polygon dependent (different sizes matched to geographic and ecological features)
Additional spatial aggregation & resolution information: Horizontal polygons with up to 7 vertical layers (to cover 3D space)
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Additional temporal resolution information: Hydrodynamic flows, salinity and temperature were entered daily but had to be synthesised/interpolated in some cases from values on longer time steps. In most instances find scale forcing was updated via anomalies taken from global models.
Input data
Observed atmospheric climate data sets used: Historical observed climate data
Emissions data sets used: Atmospheric CO2 concentration
Other human influences data sets used: Fishing intensity
Additional input data sets: Other inputs were as standard for the SE Australian Atlantis runs - including fish market prices, fisheries management zoning, nutrient inputs form atmosphere/sewage/river inputs
Additional information about input variables: Temperature and salinity anomalies were calculated from MIP products to scale dine scale drivers. The pCO2 time series was used to drive the pH/acidification aspects of the model
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Model was run for 25 years wth constant forcing before projections or historical forcing was introduced. This burn-in period was stripped form model output
Management & Adaptation Measures
Management: Current fisheries management measures were assumed to continue unchanged
Extreme Events & Disturbances
Key challenges: Unless called for as part of the scenario no extreme events were included.
 
Defining features: 32 fleets were modelled with different gear types.
Spatial scale: Regional - SE Australia
Spatial resolution: Variable polygons
Temporal resolution: 12 hourly
Taxonomic scope: Mix of species and functional groups
Vertical resolution: Variable (more layers near the surface)
Spatial dispersal included: Via hydrodynamic exchanges and directed movement of some species
Is fishbase used for mass-length conversion?: Where no other information was available




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