An ecosystem model of the environmental transport and fate of carbon-14 in a bay of the Baltic Sea, Sweden

2003 ◽  
Vol 166 (3) ◽  
pp. 193-210 ◽  
Author(s):  
Linda Kumblad ◽  
Michael Gilek ◽  
Björn Næslund ◽  
Ulrik Kautsky
2016 ◽  
Vol 23 (1) ◽  
pp. 20-24 ◽  
Author(s):  
Artur Nowicki ◽  
Maciej Janecki ◽  
Mirosław Darecki ◽  
Piotr Piotrowski ◽  
Lidia Dzierzbicka-Głowacka

Abstract The objective of this paper is to present an automatic monitoring system for the 3D CEMBS model in the operational version. This predictive, eco hydrodynamic model is used as a tool to control the conditions and bio productivity of the Baltic sea environment and to forecast physical and ecological changes in the studied basin. Satellite-measured data assimilation is used to constrain the model and achieve higher accuracy of its results. 3D CEMBS is a version of the Community Earth System Model, adapted for the Baltic Sea. It consists of coupled ocean and ice models, working in active mode together with the ecosystem module. Atmospheric forecast from the UM model (Interdisciplinary Centre for Mathematical and Computational Modelling of the Warsaw University) are used as a forcing fields feed through atmospheric data model. In addition, river inflow of freshwater and nutrient deposition from 71 main rivers is processed by land model. At present, satellite data from AQUA MODIS, processed by the SatBałtyk project Operational System are used for the assimilation of sea surface temperature and chlorophyll a concentration. In the operational mode, 48-hour forecasts are produced at six-hour intervals, providing a wide range of hydrodynamic and biochemical parameters.


2018 ◽  
Vol 25 (3) ◽  
pp. 35-43 ◽  
Author(s):  
Maciej Janecki ◽  
Artur Nowicki ◽  
Alicja Kańska ◽  
Maria Golenko ◽  
Lidia Dzierzbicka-Głowacka

Abstract Sea ice conditions in the Baltic Sea during six latest winters – 2010/2011 to 2015/2016 are analysed using coupled ice–ocean numerical model 3D CEMBS (3D Coupled Ecosystem Model of the Baltic Sea). Simulation results are compared with observations from monitoring stations, ice charts and satellite data. High correlation between model results and observations has been confirmed both in terms of spatial and temporal approach. The analysed period has a high interannual variability of ice extent, the number of ice days and ice thickness. Increasing number of relatively mild winters in the Northern Europe directly associated with climate change results in reduced ice concentration in the Baltic Sea. In this perspective, the implementation and development of the sea ice modelling approach (in addition to standard monitoring techniques) is critical to assess current state of the Baltic Sea environment and predict possible climate related changes in the ecosystem and their influence for human marine–related activities, such as fishery or transportation.


2021 ◽  
Vol 14 (8) ◽  
pp. 5049-5062
Author(s):  
Thomas Neumann ◽  
Sampsa Koponen ◽  
Jenni Attila ◽  
Carsten Brockmann ◽  
Kari Kallio ◽  
...  

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.


Ocean Science ◽  
2011 ◽  
Vol 7 (5) ◽  
pp. 693-704 ◽  
Author(s):  
Z. Wan ◽  
L. Jonasson ◽  
H. Bi

Abstract. The N/P ratio of nutrient uptake, the change of dissolved inorganic nitrogen (DIN) relative to the change of dissolved inorganic phosphorus (DIP), is a key parameter for many ecological models. In the Baltic Sea ecosystem, the N/P ratio of nutrient uptake varies among different basins and different seasons. The N/P ratio of nutrient alteration, i.e., the ratio of DIN to DIP altered before and after spring blooms, is not the same as the N/P ratio of nutrient uptake, but the former can be regarded as an indicator of the latter in the Baltic Sea. Based on the observed N/P ratio of nutrient alteration, we hypothesize a non-Redfield N/P ratio of nutrient uptake. The 3-D-ecosystem model ERGOM coupled with the circulation model DMI-BSHcmod was used to test this hypothesis. When the Redfield ratio was used in the model, the DIP surplus after spring blooms was too high and resulted in excessive growth of cyanobacteria and too much nitrogen fixation. When the non-Redfield ratio was used in the model, these problems tended to disappear. In summary, we show that: (1) the Redfield N/P ratio of nutrient uptake in the Baltic Sea tends to be too high; (2) a N/P ratio of 10:1 appears to work better than the Redfield value; and (3) the N/P ratio of nutrient uptake in the Baltic Proper during spring blooms is around 6:1. As the model limitation using one identical value for two N/P ratios for nutrient uptake and remineralization, the quantitative conclusions are only convincing as a model parameter even though it obviously improves model predictions. Whether this model parameter is consistent with the biological nutrient uptake is worth being further verified with some laboratory investigations or simulations using a more sophisticated model with independent N/P ratios for nutrient uptake and remineralization.


Sign in / Sign up

Export Citation Format

Share Document