Validation of a hydrodynamic-ecosystem model simulation with time-series data collected in the western English Channel

Lewis, Kristy A.; Allen, J. Icarus

doi:10.1016/j.jmarsys.2007.12.013

Cited by 34 publications

(33 citation statements)

References 45 publications

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“…3d, e, f). In addition, the statistical measures for overall model performance for Case NP10 (Table 4) appears to be reasonable for this type of models (Neumann et al, 2002;Allen et al, 2007;Neumann and Schernewski, 2008;Lewis and Allen, 2009;Maar et al, 2011). Meanwhile, we notice that the modeled DO is relatively high in lower layers in the Baltic Proper (Fig.…”

Section: Support From the Modeling Experimentssupporting

confidence: 52%

N/P ratio of nutrient uptake in the Baltic Sea

Wan

Jonasson

Bi³

2011

Ocean Sci.

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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.

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Section: Support From the Modeling Experimentssupporting

confidence: 52%

N/P ratio of nutrient uptake in the Baltic Sea

Wan

Jonasson

Bi³

2011

Ocean Sci.

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“…Furthermore, specific works have been dedicated to the objective evaluation of ERSEM skills and performance, e.g. [46,47]. Most relevant to this study, Polimene et al [44] showed that ERSEM was able to capture the seasonal cycle of chlorophyll, primary and bacterial production in the Sargasso Sea (BATS), an oligotrophic system relatively similar to the South Atlantic Gyre.…”

Section: Choice Of Ecosystem Modelmentioning

confidence: 96%

Impacts of light shading and nutrient enrichment geo-engineering approaches on the productivity of a stratified, oligotrophic ocean ecosystem

Hardman-Mountford

Polimene

Hirata

et al. 2013

J. R. Soc. Interface.

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Geo-engineering proposals to mitigate global warming have focused either on methods of carbon dioxide removal, particularly nutrient fertilization of plant growth, or on cooling the Earth's surface by reducing incoming solar radiation (shading). Marine phytoplankton contribute half the Earth's biological carbon fixation and carbon export in the ocean is modulated by the actions of microbes and grazing communities in recycling nutrients. Both nutrients and light are essential for photosynthesis, so understanding the relative influence of both these geo-engineering approaches on ocean ecosystem production and processes is critical to the evaluation of their effectiveness. In this paper, we investigate the relationship between light and nutrient availability on productivity in a stratified, oligotrophic subtropical ocean ecosystem using a one-dimensional water column model coupled to a multi-plankton ecosystem model, with the goal of elucidating potential impacts of these geo-engineering approaches on ecosystem production. We find that solar shading approaches can redistribute productivity in the water column but do not change total production. Macronutrient enrichment is able to enhance the export of carbon, although heterotrophic recycling reduces the efficiency of carbon export substantially over time. Our results highlight the requirement for a fuller consideration of marine ecosystem interactions and feedbacks, beyond simply the stimulation of surface blooms, in the evaluation of putative geo-engineering approaches.

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“…Although same "scores" do not always mean same level of model performances, the statistical measures provide a possibility to inter-compare skills across models applied in different regions. In comparison with other models in the Baltic Sea and nearby regions, the overall skills of this model system are at the same level of these types of models (Edelvang et al, 2005;Lacroix et al, 2007;Lewis andAllen, 2009, Almroth andSkogen, 2010).…”

Section: Model Validitymentioning

confidence: 97%

“…The statistical measures CF, ME and PB are applied in the ecological model validation studies nearby the Baltic Sea (Radach and Moll, 2006;Allen et al, 2007;Neumann and Schernewski, 2008;Lewis and Allen, 2009). According to these three statistical criteria (Maréchal, 2004;Radach and Moll, 2006) and the results (Table 3) (Fig.…”

Section: Model Validitymentioning

confidence: 99%

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Assessment of a physical-biogeochemical coupled model system for operational service in the Baltic Sea

et al. 2012

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Abstract. Thanks to the abundant observation data, we are able to deploy the traditional point-to-point comparison and statistical measures in combination with a comprehensive model validation scheme to assess the skills of the biogeochemical model ERGOM in providing an operational service for the Baltic Sea. The model assessment concludes that the operational products can resolve the main observed seasonal features for phytoplankton biomass, dissolved inorganic nitrogen, dissolved inorganic phosphorus and dissolved oxygen in euphotic layers as well as their vertical profiles. This assessment reflects that the model errors of the operational system at the current stage are mainly caused by insufficient light penetration, excessive organic particle export downward, insufficient regional adaptation and some from improper initialization. This study highlights the importance of applying multiple schemes in order to assess model skills rigidly and identify main causes for major model errors.

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Validation of a hydrodynamic-ecosystem model simulation with time-series data collected in the western English Channel

Cited by 34 publications

References 45 publications

N/P ratio of nutrient uptake in the Baltic Sea

N/P ratio of nutrient uptake in the Baltic Sea

Impacts of light shading and nutrient enrichment geo-engineering approaches on the productivity of a stratified, oligotrophic ocean ecosystem

Assessment of a physical-biogeochemical coupled model system for operational service in the Baltic Sea

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