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

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http://hdl.handle.net/10138/336227

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Neumann, T., Koponen, S., Attila, J., Brockmann, C., Kallio, K., Kervinen, M., Mazeran, C., Müller, D., Philipson, P., Thulin, S., Väkevä, S., and Ylöstalo, P.: Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2), Geosci. Model Dev., 14, 5049–5062, https://doi.org/10.5194/gmd-14-5049-2021

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Title: Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2)
Author: Neumann, Thomas; Koponen, Sampsa; Attila, Jenni; Brockmann, Carsten; Kallio, Kari; Kervinen, Mikko; Mazeran, Constant; Müller, Dagmar; Philipson, Petra; Thulin, Susanne; Väkevä, Sakari; Ylöstalo, Pasi
Publisher: Copernicus
Date: 2021
Language: en
Belongs to series: Geoscientific model development 14: 8, 5049-5062
ISSN: 1991-959X
URI: http://hdl.handle.net/10138/336227
Abstract: Colored dissolved organic matter (CDOM) in marine environments impacts primary production due to its absorption effect on the photosynthetically active radiation. In coastal seas, CDOM originates from terrestrial sources predominantly and causes spatial and temporal changing patterns of light absorption which should be considered in marine biogeochemical models. We propose a model approach in which Earth Observation (EO) products are used to define boundary conditions of CDOM concentrations in an ecosystem model of the Baltic Sea. CDOM concentrations in riverine water derived from EO products serve as forcing for the ecosystem model. For this reason, we introduced an explicit CDOM state variable in the model. We show that the light absorption by CDOM in the model can be improved considerably in comparison to approaches where CDOM is estimated from salinity. The model performance increases especially with respect to spatial CDOM patterns due to the consideration of single river properties. A prerequisite is high-quality CDOM data with sufficiently high spatial resolution which can be provided by the new generation of ESA satellite sensor systems (Sentinel 2 MSI and Sentinel 3 OLCI). Such data are essential, especially when local differences in riverine CDOM concentrations exist.
Subject: water quality
mathematical models
organic matter
remote sensing
satellite images
Baltic Sea
CDOM
state variable
Model ERGOM
case study
Subject (ysa): vedenlaatu
matemaattiset mallit
orgaaninen aines
kaukokartoitus
Itämeri
satelliittikuvaus
tapaustutkimus
Rights: This work is distributed under the Creative Commons Attribution 4.0 License.


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