Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 9
Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3901-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-3901-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 9
Model description paper
 | 
13 May 2022
Model description paper |  | 13 May 2022

ECOSMO II(CHL): a marine biogeochemical model for the North Atlantic and the Arctic

Veli Çağlar Yumruktepe, Annette Samuelsen, and Ute Daewel

Data sets

World Ocean Atlas 2018 [tempearature, nitrate, silicate, phosphate] T. P. Boyer, H. E. Garcia, R. A. Locarnini, M. M. Zweng, A. V. Mishonov, J. R. Reagan, K. A. Weathers, O. K. Baranova, D. Seidov, D., and I. V. Smolyar https://accession.nodc.noaa.gov/NCEI-WOA18

World Ocean Atlas 2013 Volume 4: Dissolved Inorganic Nutrients (phosphate, nitrate, silicate) H. E. García, R. A. Locarnini, T. P. Boyer, J. I. Antonov, O. K. Baranova, M. M. Zweng, J. R. Reagan, and D. R. Johnson https://doi.org/10.7289/v5f769gt

Næringssalt-, oksygen- og klorofyll- data i norske havområder fra 1980-2017 Institute of Marine Research http://www.imr.no/forskning/forskningsdata/infrastruktur/viewdataset.html?dataset_id=104

Model code and software

HYCOM-ECOSMOII(CHL) a marine biogeochemical model for the North Atlantic and the Arctic model code and configuration K. A. Lisæter, F. Counillon, J. Xie, C. Hansen, A. Samuelsen, V. Ç. Yumruktepe, U. Daewel, C. Schrum, G. Evensen, L. and Bertino https://doi.org/10.5281/zenodo.6387608

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Short summary
We describe the coupled bio-physical model ECOSMO II(CHL), which is used for regional configurations for the North Atlantic and the Arctic hind-casting and operational purposes. The model is consistent with the large-scale climatological nutrient settings and is capable of representing regional and seasonal changes, and model primary production agrees with previous measurements. For the users of this model, this paper provides the underlying science, model evaluation and its development.
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