Publication Date:
2023-11-03
Description:
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.
Type:
Report
,
NonPeerReviewed
Format:
text
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