Impact model: OSMOSE (N Humboldt)

Sector
Fisheries (regional)
Region
regional

Northern Humboldt model for main pelagic species, interannual variability estimated for key parameters, 1992-2008 hindcast period.

OSMOSE (Northern Humboldt) 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 OSMOSE (N Humboldt) 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
Ricardo Oliveros-Ramos: ricardo.oliveros@gmail.com, 0000-0002-8069-2101, Universidad Peruana Cayetano Heredia (Peru)
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: osmose 3.0
Simulation Round Specific Description: * Data in embargo period: not yet publicly available, but currently only shared among the ISIMIP participants.
Resolution
Spatial aggregation: regular grid
Temporal resolution of input data: climate variables: monthly
Exceptions to Protocol
Exceptions: downscaling of the plankton biomass, nearest-neighbor approach not used, biological effects were fixed to the climatology not to 2005 values
Spin-up
Was a spin-up performed?: No
Spin-up design: simulations started in 1992
Management & Adaptation Measures
Management: fishing constant in 2005 levels
Extreme Events & Disturbances
Key challenges: We estimated time series for larval mortality , a key parameter for the model, in order to reproduce the impact of ENSO in the population dynamics.
 
Defining features: fisheries for all comercial species included, mainly dominated by anchovy fisheries
Spatial scale: 1/6º degree, 15 days time step
Taxonomic scope: 8 species + 1 functional group explicitly modeled
Vertical resolution: no
Spatial dispersal included: yes
Is fishbase used for mass-length conversion?: no
Person responsible for model simulations in this simulation round
Caihong Fu: caihong.fu@dfo-mpo.gc.ca, Fisheries and Oceans Canada (Canada)
Ricardo Oliveros-Ramos: ricardo.oliveros@gmail.com, 0000-0002-8069-2101, Universidad Peruana Cayetano Heredia (Peru)
Output Data
Experiments: reana, scen
Climate Drivers: None
Date: 2017-01-23
Basic information
Model Version: osmose 3.0
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 1/6º
Temporal resolution of input data: climate variables: monthly
Temporal resolution of input data: co2: -
Temporal resolution of input data: land use/land cover: -
Temporal resolution of input data: soil: -
Exceptions to Protocol
Exceptions: downscaling of the plankton biomass, nearest-neighbor approach not used, biological effects were fixed to the climatology not to 2005 values
Spin-up
Was a spin-up performed?: No
Spin-up design: simulations started in 1992
Management & Adaptation Measures
Management: fishing constant in 2005 levels
Extreme Events & Disturbances
Key challenges: We estimated time series for larval mortality , a key parameter for the model, in order to reproduce the impact of ENSO in the population dynamics.
 
Defining features: fisheries for all comercial species included, mainly dominated by anchovy fisheries
Spatial scale: 1/6º degree, 15 days time step
Taxonomic scope: 8 species + 1 functional group explicitly modeled
Vertical resolution: no
Spatial dispersal included: yes
Is fishbase used for mass-length conversion?: no