A Bayesian approach to state and parameter estimation in a Phytoplankton-Zooplankton model

@inproceedings{Jones2010ABA,
  title={A Bayesian approach to state and parameter estimation in a Phytoplankton-Zooplankton model},
  author={Emlyn Jones and John S. Parslow and Lawrence Murray},
  year={2010}
}
Within the last 15 years there have been significant advances in statistical techniques available for data assimilation (DA), largely driven by a combination of the availability of high performance computing and dense observational data-sets (Lorenc 2003; Evensen 2007). Marine Biogeochemical (BGC) modelling, unlike the disciplines of numerical weather prediction and operational oceanography, has been slow in adopting these new and evolving methods. This is not surprising given the lack of high… CONTINUE READING
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