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Inputs and Configuration Resource Forcing
Usually, LTL forcings are provided from coupled physical/biogeochemical models (for example NEMO/PISCES, NEMO/Eco3M, etc.). These models are 3D (depth, latitude and longitude), while Osmose is 2D, and are usually at a higher spatial resolution than Osmose. Aditionnally, they provide LTL forcings as concentrations (mol/L, mol/m3, mmol/L, etc.), while Osmose requires wet biomass (tons).
In the following, we provide some insights into how to prepare LTL forcing files, which will be used by Osmose as resource species (see Resource species for details).
The first step is to vertically integrate the concentrations. This is done by computing the vertical weighted sum of LTL concentrations, with the weights provided by the surface volume:
The second step is to regrid the LTL variables from the original grid to the Osmose grid.
It is strongly recommended to use the Python interpolation tool xESMf.
Warning
In order to conserve the original Osmose mask, the conservative or conservative_normed method should be used. For a detailed description of the methodology, see this example.
Once the files have been interpolated, the last step is to convert the concentrations into wet biomass (i.e. in tons).
Provided in the table below are a list of conversion factors (courtesy of Morgane Travers):
| Model(s) concerned | Organisms concerned | Conversion factor used (currencies concerned and relationship with values) | References |
|---|---|---|---|
| OSMOSE-N2P2Z2D2 | Phytoplankton | From mmolN to mg wet weight [phyto_in_mgWW.m-3] = 720 * [phyto_in_mmolN.m-3] | Travers et al. 2009 (Ecol.Mod 220) |
| OSMOSE-N2P2Z2D2 | Ciliates | From mmolN to mg wet weight Conversion factor: 675 mg ww.mmol N−1 | Travers et al. 2009 (Ecol.Mod 220) |
| OSMOSE-N2P2Z2D2 | Copepods | From mmolN to mg wet weight Conversion factor: 1000 mg ww.mmol N−1 | Travers et al. 2009 (Ecol.Mod 220) |
| ECOSMO-E2E | - | No need for conversion factor as it is an online coupled model | Daewel et al. 2019 |
| FEISTY | - | Wet weight to carbon ratio of 9:1 | Pauly & Christensen, 1995 |
| DEB-IBM | Mesozooplankton | No need for conversion since in the DEB we use a scaled functional response (Holling Type 2)[^1] | Gatti et al., 2017 (Ecol Model) Menu et al., 2023 (Progr. Oceanogr.) |
| ERSEM-MIZER | Fish | Assume 10% of wet mass is carbon From mmol C to g wet weight Conversion factor: 0.12 | Boundreau and Dickie, 1992 |
| ERSEM-Fish IBM (HCMR) | Anchovy & Sardine | From mg C to mg wet weight: 6.8mg ww / mg C | Czamanski et al., 2011. Politikos et al., 2015 |
| EcoOcean | Phytoplankton | Scaling *phyc to EcoOcean starting densities in t/km-2 | Coll et al., 2020 |
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