Impact model: DBEM

Sector
Fisheries (global)
Region
global

DBEM is one of the 6 global models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a global fisheries & marine ecosystems sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; global) Sector, see this DOI link: http://doi.org/10.5880/PIK.2018.005

Information for the model DBEM 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.

Person responsible for model simulations in this simulation round
William Cheung: w.cheung@fisheries.ubc.ca, 0000-0001-9998-0384, Institute for the Oceans and Fisheries, University of British Columbia (Canada)
Juliano Palacios-Abrantes: j.palacios@oceans.ubc.ca, 0000-0001-8969-5416, Institute for the Oceans and Fisheries, University of British Columbia (Canada)
Output Data
Experiments: (*) ssp126_nat_default, historical_nat_default, ssp585_nat_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR
Date: 2021-08-27
Basic information
Simulation Round Specific Description: * Data in embargo period, not yet publicly available.
Person responsible for model simulations in this simulation round
William Cheung: w.cheung@fisheries.ubc.ca, 0000-0001-9998-0384, Institute for the Oceans and Fisheries, University of British Columbia (Canada)
Juliano Palacios-Abrantes: j.palacios@oceans.ubc.ca, 0000-0001-8969-5416, Institute for the Oceans and Fisheries, University of British Columbia (Canada)
Additional persons involved: Isabella Morgante
Output Data
Experiments: (*) obsclim_nat_60arcmin, obsclim_histsoc_60arcmin
Climate Drivers: GFDL-MOM6-COBALT2
Date: 2024-05-21
Basic information
Model Version: dbem_v2
Model Homepage: https://coru.oceans.ubc.ca/
Reference Paper: Main Reference: Cheung W, Jones M, Reygondeau G, Stock C, Lam V, Frölicher T et al. Structural uncertainty in projecting global fisheries catches under climate change. Ecological Modelling,325,57-66,2016
Reference Paper: Other References:
  • Cheung, W. W. L., Reygondeau, G. and Frölicher, T. L. et al. Large benefits to marine fisheries of meeting the 1.5°C global warming targetScience,None,,2016
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Vertically resolved: Yes
Number of vertical layers: There are two layers, surface and bottom
Temporal resolution of input data: climate variables: annual
Temporal resolution of input data: co2: annual
Input data
Observed atmospheric climate data sets used: GFDL-MOM6-COBALT2 (ocean)
Emissions data sets used: Atmospheric composition (ISIMIP3a)
Other human influences data sets used: Fishing effort
Additional input data sets: The Sea Around Us CMSY data available at thesearoundus.org
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Spin-up and transition period (1841-1960). Nominal spin-up (1841-1860, fishing held constant at 1861 levels) and pre-industrial transition period (1861-1960, reconstructed fishing effort). To set-up climate-forcing variables for the entire 1841-1960 period, we used the “control run” (ctrlclim) monthly output for the years 1961-1980 (inclusive) on repeat for six cycles.
Person responsible for model simulations in this simulation round
William Cheung: w.cheung@fisheries.ubc.ca, 0000-0001-9998-0384, Institute for the Oceans and Fisheries, University of British Columbia (Canada)
Additional persons involved: William Cheung
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_rcp85_wo-diaz_fishing, nobc_rcp85_wo-diaz_no-fishing
Climate Drivers: GFDL-ESM2M and IPSL-CM5A-LR (historical and future)
Date: 2021-12-07
Basic information
Simulation Round Specific Description: * Data in embargo period, not yet publicly available
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Temporal resolution of input data: climate variables: monthly
Input data
Simulated atmospheric climate data sets used: GFDL-ESM2M (ocean), IPSL-CM5A-LR (ocean)
Spin-up
Was a spin-up performed?: No
 
Defining features: Global
Spatial resolution: 0.5°x0.5°
Temporal scale: 1951 onwards
Temporal resolution: annual
Taxonomic scope: 892 commercial fish and invertebrate species
Vertical resolution: Vertical layers (sea surface and bottom) defined by species niche preferences
Person responsible for model simulations in this simulation round
William Cheung: w.cheung@fisheries.ubc.ca, 0000-0001-9998-0384, Institute for the Oceans and Fisheries, University of British Columbia (Canada)
Additional persons involved: William Cheung
Output Data
Experiments: scen
Climate Drivers: None
Date: 2017-01-09
Basic information
Reference Paper: Main Reference: William W. L. Cheung, John Dunne, Jorge L. Sarmiento, Daniel Pauly et al. Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic. ICES Journal of Marine Science,68,1008–1018,2011
 
Defining features: Global
Spatial resolution: 0.5°x0.5°
Temporal scale: 1951 onwards
Temporal resolution: annual
Taxonomic scope: 892 commercial fish and invertebrate species
Vertical resolution: Vertical layers (sea surface and bottom) defined by species niche preferences