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We will update this site with information about the FishMIP3a Workflow for Regional Ecosystem Models described here.
To facilitate the implementation of the FishMIP3a workflow, the FishMIP Regional Climate Forcing Data Explorer was developed. Our implementation workflow consists of nine steps. Steps 3 and 5 are considered the most challenging steps of the workflow and a number of specific guidelines and sub-steps have been developed to ensure the standardised application of our protocol. More information on these sub-steps can be found here.
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Go to the FishMIP Data Explorer.
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Under the ‘GFDL model outputs’ tab, select your regional model, the environmental variable of interest (e.g., Sea water Potential Temperature) and any depth bin. Please note the shiny app offers data for the entire water column as a download. You will download a
.zipfolder containing azarrfile with temperature data from 1961-2010 for your model area. Please check the ‘About’ tab on the Shiny app for more info onzarrfiles. -
Under the ‘Model outputs against observations’ tab, select your regional model, the environmental variable (Sea water Potential Temperature) and any depth bin. You will download a
.zipfolder containing a monthly climatology from i) GFDL and ii) World Ocean Atlas from 1981-2010 for the entire water column, iii) the depth and iv) the area of each grid point within your model area. -
If your model is non-spatial, use this example script to process the data downloaded from the shiny app. The example provided is for the Baltic Sea Mizer model using seawater temperature at 2.5 m depth, but it can be adapted to any region and any depth.
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If your model is spatial and depth-resolved, use this example script to process the data downloaded from the shiny app. The example provided is for the southern Benguela Atlantis model, in which the model area is divided into 18 model polygons and has from one to four depth layers.
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Go to the FishMIP Data Explorer.
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Under the ‘Fishing effort and catch data’ tab, select your regional model and the dataset to visualise (Fishing Effort/Fishing Catch) and download. Based on your selection, you will download a
.zipfolder containing: i) fishing effort/catch data for your model region, ii) dictionary to interpret names of fishing effort/catch data (based on the IMAS data portal), iii) Sea Around Us Project country codes file to translate country code to country names. -
An example script to process fishing effort data can be found here. The example provided is for the Baltic Sea Mizer model, but it can be adapted to any region.
We asked modellers to complete the following tasks by the end of February 2025:
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Complete Regional model templates. To do this, you need to submit an issue. Make sure to select the Regional Ecosystem Model documentation issue option because it will ask specific information about your model.
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Determine if bias correction is needed for your model. Check the shiny app, under the ‘Model outputs against observations’ tab, you can determine if you need perform bias correction. If yes, follow the guidelines in the step 3 of the workflow to develop bias corrected time series to use as forcings on your model.
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Map the fleets and functional groups from the global effort and catch data (see step 5 of the workflow) to the fleets and functional groups in your model. Follow the guidelines here to determine if the global effort is suitable for your model area.
We have scheduled monthly meetings to work together to implement the 3a protocol for regional models. Click on the dates below to access notes about our regional modellers meetings.
FishMIP contributes to the Intersectoral Impact Model Intercomparison Project (ISIMIP).
