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RECOM-Regulated-Ecosystem-Model/REcoM

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Regulated Ecosystem Model (REcoM)

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REcoM is a water column biogeochemistry and ecosystem model which incorporates cycles of carbon and nutrients (nitrogen, iron, and silicon) with varying intracellular stoichiometry in phytoplankton, zooplankton and detritus. It is coupled to variable-resolution ocean general circulation model that solves the equations of motion describing the ocean and sea ice using finite-element and finite-volume methods on unstructured computational grids (FESOM). REcoM and FESOM models are developed and supported by researchers at the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), in Bremerhaven, Germany.

Website: fesom.de

Documentation: recom.readthedocs.io fesom2.readthedocs.io

Basic tutorial: Getting started

References

Complete list of references on fesom.de

  • [REcoM model formulation and evaluation, coupled to FESOM2.1] Gürses, Ö., Oziel, L., Karakuş, O., Sidorenko, D., Völker, C., Ye, Y., Zeising, M., Butzin, M., and Hauck, J.: Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3, Geosci. Model Dev., 16, 4883–4936, https://doi.org/10.5194/gmd-16-4883-2023, 2023

  • [REcoM skill assessment, coupled to FESOM1.3] Schourup-Kristensen, V., Sidorenko, D., Wolf-Gladrow, D. A., and Völker, C.: A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3), Geosci. Model Dev., 7, 2769–2802, https://doi.org/10.5194/gmd-7-2769-2014, 2014.

  • [Ocean model formulation] Danilov, S., Sidorenko, D., Wang, Q., and Jung, T.: The Finite-volumE Sea ice–Ocean Model (FESOM2), Geosci. Model Dev., 10, 765–789, https://doi.org/10.5194/gmd-10-765-2017, 2017.

  • [Sea ice model formulation] Danilov, S., Q. Wang, R. Timmermann, N. Iakovlev, D. Sidorenko, M. Kimmritz, T. Jung, and Schröter, J. (2015), Finite-Element Sea Ice Model (FESIM), version 2, Geosci. Model Dev., 8, 1747–1761, http://www.geosci-model-dev.net/8/1747/2015/

  • [Evaluation of standard sumulations] Scholz, P., Sidorenko, D., Gurses, O., Danilov, S., Koldunov, N., Wang, Q., Sein, D., Smolentseva, M., Rakowsky, N., and Jung, T.: Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) – Part 1: Description of selected key model elements and comparison to its predecessor version, Geosci. Model Dev., 12, 4875–4899, https://doi.org/10.5194/gmd-12-4875-2019, 2019.

  • [Evaluation of computational performance] Koldunov, N. V., Aizinger, V., Rakowsky, N., Scholz, P., Sidorenko, D., Danilov, S., and Jung, T.: Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2), Geosci. Model Dev., 12, 3991–4012, https://doi.org/10.5194/gmd-12-3991-2019, 2019.

  • [Version coupled with ECHAM6 atmosphere] Sidorenko, D., Goessling, H. F., Koldunov, N. V., Scholz, P., Danilov, S., Barbi, D., et al ( 2019). Evaluation of FESOM2.0 coupled to ECHAM6.3: Pre‐industrial and HighResMIP simulations. Journal of Advances in Modeling Earth Systems, 11. https://doi.org/10.1029/2019MS001696

  • [Version with ICEPACK sea ice thermodynamics] Zampieri, Lorenzo, Frank Kauker, Jörg Fröhle, Hiroshi Sumata, Elizabeth C. Hunke, and Helge Goessling. Impact of Sea-Ice Model Complexity on the Performance of an Unstructured-Mesh Sea-ice/ocean Model Under Different Atmospheric Forcings. Washington: American Geophysical Union, 2020. https://dx.doi.org/10.1002/essoar.10505308.1.