How should sparse in situ measurements be compared to continuous model data

Introduction Conclusions References

[1]  Jason T. Holt,et al.  Oceanic controls on the primary production of the northwest European continental shelf: model experiments under recent past conditions and a potential future scenario , 2012 .

[2]  C. Stow,et al.  Skill Assessment for Coupled Biological/Physical Models of Marine Systems. , 2009, Journal of marine systems : journal of the European Association of Marine Sciences and Techniques.

[3]  Barbara A. Adams-Vanharn,et al.  Evaluation of the current state of mechanistic aquatic biogeochemical modeling: citation analysis and future perspectives. , 2006, Environmental science & technology.

[4]  Jason Holt,et al.  Prediction and analysis of long‐term variability of temperature and salinity in the Irish Sea , 2007 .

[5]  Charles J Vörösmarty,et al.  Global system of rivers: Its role in organizing continental land mass and defining land‐to‐ocean linkages , 2000 .

[6]  K. Taylor Summarizing multiple aspects of model performance in a single diagram , 2001 .

[7]  Jason T. Holt,et al.  An s coordinate density evolving model of the northwest European continental shelf: 2. Seasonal currents and tides , 2001 .

[8]  Jerry Blackford,et al.  Ecosystem dynamics at six contrasting sites: a generic modelling study , 2004 .

[9]  Momme Butenschön,et al.  Validation of the NEMO-ERSEM operational ecosystem model for the North West European Continental Shelf , 2012 .

[10]  Anthony J. Richardson,et al.  Error quantification of a high resolution coupled hydrodynamic- ecosystem coastal-ocean model: Part3, validation with Continuous Plankton Recorder data , 2006 .

[11]  A. Sterl,et al.  The ERA‐40 re‐analysis , 2005 .

[12]  Taro Takahashi,et al.  Skill metrics for confronting global upper ocean ecosystem-biogeochemistry models against field and remote sensing data , 2009 .

[13]  J. Kindle,et al.  Summary diagrams for coupled hydrodynamic-ecosystem model skill assessment , 2009 .

[14]  Sm Robeson Influence of spatial sampling and interpolation on estimates of air temperature change , 1994 .