Parameter Optimization and Validation of a Marine Biogeochemical Model using a Hybrid Algorithm

Rückelt, Johannes, Sauerland, Volkmar, Slawig, Thomas, Srivastav, Anand, Ward, B. and Patvardhan, C. (2009) Parameter Optimization and Validation of a Marine Biogeochemical Model using a Hybrid Algorithm TR 0919 . Christian Albrechts Universität zu Kiel, Kiel.

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Abstract

Sensitivity computations, parameter identification and optimiza-tion for an 1-D marine biogeochemical model ofN P ZDtype are pre-sented. For the optimization a hybrid algorithm combining quantum-evolutionary and local gradient-based search methods is used. It turnsout to be an efficient and flexible tool for optimization and can beeasily adopted for other simulation models. For the model under in-vestigation attainable data could be exactly identified. For realisticmeasurement data we argue that a certain parameter set leading toa non-optimal fit cannot be improved. Moreover we show that datauncertainty leads to a significant parameter spread. Thus we concludethat theN P ZDmodel needs to be modified or extended, maybe in-cluding a modification of external forcings and/or initial conditions.

Document Type: Report (Research Report)
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Projects: Future Ocean
Date Deposited: 27 Aug 2019 09:26
Last Modified: 27 Aug 2019 09:26
URI: http://eprints.uni-kiel.de/id/eprint/47578

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