Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3 ...

This is the underlying dataset of the publication "Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3" by Gürses et al. (in press), Geoscientific Model Development. In addition to unstructured mesh information, it contains the results of ocean biogeoch...

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Bibliographic Details
Main Authors: Gürses, Özgür, Oziel, Laurent, Karakus, Onur, Sidorenko, Dmitry, Völker, Christoph, Ye, Ying, Zeising, Moritz, Butzin, Martin, Hauck, Judith
Format: Dataset
Language:English
Published: Zenodo 2023
Subjects:
Marine biogeochemistry model, ocean carbon sink, net primary production
Alfred Wegener Institute
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.8271981
https://zenodo.org/record/8271981
Description
Summary:This is the underlying dataset of the publication "Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3" by Gürses et al. (in press), Geoscientific Model Development. In addition to unstructured mesh information, it contains the results of ocean biogeochemistry in the Regulated Ecosystem Model version 3 (REcoM3) coupled to the ocean and sea ice model FESOM2.1. The model simulations cover the period 1958 to 2021 and are forced with observed atmospheric CO 2 and JRA55-do atmospheric reanalyses. Three simulations are provided: simulation A: with varying climate forcing conditions and varying atmospheric CO 2 simulation B: with constant climate forcing conditions and constant atmospheric CO 2 simulation D: with varying climate forcing conditions and constant atmospheric CO 2 The following 2D/3D monthly-averaged fields (data period is given in parentheses) are provided on the native model grid: Alk: Alkalinity (2012-2021) CO2f: Air-Sea CO 2 flux (1800-2021) DFe: Dissolved Iron ... : We acknowledge the Initiative and Networking Fund of the Helmholtz Association (Helmholtz Young Investigator Group Marine Carbon and Ecosystem Feedbacks in the Earth System, MarESys; grant no. VH-NG-1301) and ERC-2022-STG OceanPeak (grant no. 101077209) for funding this research. We are thankful to the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Computer and Data Center for the allocation of computer resources. Disclaimer: The work reflects only the authors' views; the European Commission and their executive agency are not responsible for any use that may be made of the information that the work contains. ...

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