Error quantification of a high-resolution coupled hydrodynamic-ecosystem coastal-ocean model: Part 2. Chlorophyll-a, nutrients and SPM

By J. Allen, Jason T. Holt, J. Blackford, R. Proctor. 2007

158 citations recorded by the source corpus.

Abstract Marine systems models are becoming increasingly complex and sophisticated, but far too little attention has been paid to model errors and the extent to which model outputs actually relate to ecosystem processes. Here we describe the application of summary error statistics to a complex 3D model (POLCOMS-ERSEM) run for the period 1988–1989 in the southern North Sea utilising information from the North Sea Project, which collected a wealth of observational data. We demonstrate that to understand model data misfit and the mechanisms creating errors, we need to use a hierarchy of techniques, including simple correlations, model bias, model efficiency, binary discriminator analysis and the distribution of model errors to assess model errors spatially and temporally. We also demonstrate that a linear cost function is an inappropriate measure of misfit. This analysis indicates that the model has some skill for all variables analysed. A summary plot of model performance indicates that model performance deteriorates as we move through the ecosystem from the physics, to the nutrients and plankton.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/b3d5be24cbc2766dc0057b34843ce3101d27f3e4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

  1. N. Dulvy
  2. S. Jennings
  3. J. Blanchard
  4. A. Souza
  5. J. Wolf
  6. Jennifer M. Brown
  7. Christian Mullon
  8. L. Rodwell

In Oceanography

  1. A. Souza
  2. J. Wolf
  3. Jennifer M. Brown
  4. Christian Mullon
  5. S. Jennings
  6. N. Dulvy

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