Error assessment of biogeochemical models by lower bound methods Article Swipe
Volkmar Sauerland
,
Ulrike Löptien
,
Claudine Leonhard
,
Andreas Oschlies
,
Anand Srivastav
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5194/gmd-2017-133
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.5194/gmd-2017-133
Biogeochemical models, capturing the major feedbacks of the pelagic ecosystem of the world ocean, are today often embedded into Earth System models which are increasingly used for decision making regarding climate policies. These models contain poorly constrained parameters (e.g., maximum phytoplankton growth rate) which are typically adjusted until the model shows a reasonable behavior. Systematic approaches determine these parameters by minimizing the misfit between the model and observational data. In most common model approaches, however, the underlying functions mimicking the biogeochemical processes are non-linear and non-convex. Thus, systematic optimization algorithms are likely to get trapped in a local minimum and might lead to non-optimal results. To judge the quality of an obtained parameter estimate, we propose to determine a preferably large lower bound for the global optimum, that is relatively easy to obtain and that will help to assess the quality of an optimum, generated by an optimization algorithm. Due to the unavoidable noise component in all observations, such a lower bound is typically larger than zero. We suggest to derive such lower bounds based on typical properties of biogeochemical models (e.g., a limited number of extremes and a bounded time-derivative). We evaluate this approach with synthetic observations and demonstrate a real-world example, consisting of phytoplankton observations in the Baltic Sea.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/gmd-2017-133
- OA Status
- gold
- Cited By
- 2
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2645936332
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2645936332Canonical identifier for this work in OpenAlex
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https://doi.org/10.5194/gmd-2017-133Digital Object Identifier
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Error assessment of biogeochemical models by lower bound methodsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-06-20Full publication date if available
- Authors
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Volkmar Sauerland, Ulrike Löptien, Claudine Leonhard, Andreas Oschlies, Anand SrivastavList of authors in order
- Landing page
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https://doi.org/10.5194/gmd-2017-133Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.5194/gmd-2017-133Direct OA link when available
- Concepts
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Biogeochemical cycle, Phytoplankton, Bounded function, Upper and lower bounds, Environmental science, Computer science, Marine ecosystem, Ecosystem, Algorithm, Climatology, Mathematics, Ecology, Geology, Nutrient, Biology, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2020: 1, 2018: 1Per-year citation counts (last 5 years)
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| publication_date | 2017-06-20 |
| publication_year | 2017 |
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