Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 8
Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5049-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5049-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 8
Development and technical paper
 | 
13 Aug 2021
Development and technical paper |  | 13 Aug 2021

Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2)

Thomas Neumann, Sampsa Koponen, Jenni Attila, Carsten Brockmann, Kari Kallio, Mikko Kervinen, Constant Mazeran, Dagmar Müller, Petra Philipson, Susanne Thulin, Sakari Väkevä, and Pasi Ylöstalo

Data sets

Baltic SeaLaBio Web Accessible Folder S. Väkevä, K. Kallio, S. Koponen, T. Neumann, J. Attila, C. Brockmann, M. Kervinen, C. Mazeran, D. Müller, P. Philipson, S. Thulin, and P. Ylöstalo http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/

Baltic SeaLaBio CDOM input to ERGOM S. Väkevä, K. Kallio, S. Koponen, T. Neumann, J. Attila, C. Brockmann, M. Kervinen, C. Mazeran, D. Müller, P. Philipson, S. Thulin, and P. Ylöstalo http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/CDOM_input_to_ERGOM/

BONUS+ SeaLaBio Model Experiments T. Neumann https://thredds-iow.io-warnemuende.de/thredds/ catalogs/projects/SeaLaBio/catalog_sealabio.html

coastDat-2 COSMO-CLM Atmospheric Reconstruction B. Geyer and B. Rockel https://cera-www.dkrz.de/WDCC/ui/cerasearch/entry?acronym=coastDat-2_COSMO-CLM

Model code and software

Model code and boundary data for "Radiation model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2)" paper. T. Neumann https://doi.org/10.5281/zenodo.4299873

ERGOM Leibniz Institute for Baltic Sea Research Warnemünde http://www.ergom.net

Modular Ocean Model MOM 5-1 GitHub https://github.com/mom-ocean/MOM5

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Short summary
The Baltic Sea is heavily impacted by surrounding land. Therefore, the concentration of colored dissolved organic matter (CDOM) of terrestrial origin is relatively high and impacts the light penetration depth. Estimating a correct light climate is essential for ecosystem models. In this study, a method is developed to derive riverine CDOM from Earth observation methods. The data are used as boundary conditions for an ecosystem model, and the advantage over former approaches is shown.
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