An a priori approach to assimilation of ecological data in marine ecosystem models

Journal of Marine Systems

Volumn 40-41, Issue , 2003, Pages 79-97

  Solidoro, C ^a   Crise, A ^a   Crispi, G ^a   Pastres, R ^b  

^a ISTITUTO NAZIONALE DI OCEANOGRAFIA E DI GEOFISICA SPERIMENTALE OGS   (Italy)

^b CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

Author keywords

A priori; Assimilation; Marine ecosystem models

Indexed keywords

CALIBRATION; CHLOROPHYLL; ECOLOGY; ECOSYSTEMS; REACTION KINETICS;

MARINE ECOSYSTEMS;

MARINE BIOLOGY;

BIOGEOCHEMICAL CYCLE; DATA ASSIMILATION; ECOSYSTEM MODELING; MARINE ECOSYSTEM; PARAMETERIZATION; PRIMARY PRODUCTION;

EID: 0038372529     PISSN: 09247963     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-7963(03)00014-9     Document Type: Conference Paper

References (31)

1. Beck, M.B., 1987. Water quality modelling: a review of the analysis of uncertainty. Water Resour. Res. 23, 1392-1442.
2. Crispi, G., Crise, A., Solidoro, C., 1998. Three-dimensional oligotrophic ecosystem model driven by physical forcings: the Mediterranean Sea case. Environ. Model. Softw. 13, 483-490.
3. Crise, A., Allen, I., Baretta, J., Crispi, G., Mosetti, R., Solidoro, C., 1999a. The effect of physical forcing on ecosystem dynamic. Prog. Oceanogr. 44, 219-243.
4. Crispi, G., Crise, A., Mauri, E., 1999b. A seasonal three-dimensional study of the nitrogen cycle in the Mediterranean Sea: Part II. Verification of the energy constrained trophic model. J. Mar. Syst. 20, 357-379.
5. Crispi, G., Crise, A., Solidoro, C., 2002. Coupled three-dimensional ecomodel of phosphorus and nitrogen cycles in the Mediterranean Sea. J. Mar. Syst. 33-34, 497-521.
6. Fasham, M.J.R., Ducklow, H.W., McKelvie, S.M., 1990. A nitrogen based model of phytoplankton dynamics in the oceanic mixed layer. J. Mar. Res. 48, 591-639.
7. Gelb, A., 1979. Applied Optimal Estimation. The MIT Press (Massachusetts Institute of Technology), Cambridge, MA, p. 373.
8. Holling, C.S., 1965. The functional response of predators to prey density. Mem. Entomol. Soc. Can. 45, 5-60.
9. Koda, M., Drogu, A.H., Seinfeld, J.H., 1979. Sensitivity analysis of partial differential equations with applications to reaction and diffusion processes. J. Comp. Phys. 30, 259-292.
10. Lassiter, R.R., Kearns, D.K., 1974. Phytoplankton population changes and nutrient fluctuations in a simple aquatic ecosystem model. In: Middlebrookers, E.J., Falkenberger, D.H., Maloney, T.E. (Eds.), Modelling the Eutrophication Process. Ann Arbour Science, 131-188.
11. Lawson, L.M., Hofmann, E.E., Spitz, Y., 1996. Time series sampling and data assimilation in a simple marine ecosystem model. Deep Sea Res. Part 2. Top. Stud. Oceanogr. 43 (2-3), 625-651.
12. Legendre, P., Legendre, S., 1998. Numerical Ecology. Elsevier, Amsterdam.
13. Levy, M., Memery, L., Andre, J.M., 1998. Simulation of primary production and export fluxes in the northwestern Mediterranean sea. J. Mar. Res. 56, 197-238.
14. Luenberg, D.G., 1968. Optimization by Vector Space Methods. Wiley, New York, p. 326.
15. Matear, R.J., 1995. Parameter optimization and analysis of ecosystem models using simulated annealing: a case study at Station P. J. Mar. Res. 53, 571-607.
16. Moisan, J.R., Hofmann, E.E., 1996. Modeling nutrient and plankton processes in the California coastal transition zone: 1. A time- and depth-dependent model. J. Geophys. Res. 101, 22647-22676.
17. Pastres, R., Ciavatta, S., 2002. Proceedings ISEEM.
18. Pastres, R., Franco, D., Pecenik, G., Solidoro, C., Dejak, C., 1997. Local sensitivity of a distributed parameters water quality model. Reliab. Eng. Syst. Saf. 57, 21-30.
19. Pastres, R., Chan, K., Solidoro, C., Dejak, C., 1999. Global sensitivity analysis of a shallow-water 3D eutrophication model. Comput. Phys. Commun. 117, 62-74.
20. Pinazo, C., Marsaleix, P., Millet, B., Estournel, C., Vehil, R., 1996. Spatial and temporal variability of phytoplankton biomass in upwelling areas of the northwestern Mediterranean: a coupled physical and biogeochemical modelling approach. J. Mar. Syst. 7, 161-191.
21. Prunet, P., Minster, J., Ruiz-Pino, D., Dadou, I., 1996a. Assimilation of surface data in a one-dimensional physical-biogeochemical model of the surface ocean: 1. Method and preliminary results. Glob. Biogeochem Cycles 10 (1), 111-138.
22. 2 data. Glob. Biogeochem. Cycles 10 (1), 139-158.
23. Robinson, A.A., Lermousiax, P., 2000. GLOBEC workshop on the assimilation of biological data in coupled physical/ecosystem models. GLOBEC Spec. Contrib. 3.
24. Spitz, Y.H., Moisan, J.R., Abbott, M.R., Richman, J.G., 1998. Data assimilation and a pelagic ecosystem model: parameterization using time series observation. J. Mar. Syst. 16, 51-68.
25. Turànyi, T., 1990. Sensitivity analysis of complex kinetic systems. Tool and application. J. Math. Chem. 5, 203-248.
26. Turànyi, T., Rabitz, H., 2002. Local methods. In: Saltelli, A., et al., (Eds.), Sensitivity Analysis. Wiley, New York, pp. 81-99.
27. Tusseau, M.H., Lancelot, C., Martin, J.M., Tassin, B., 1997. 1D coupled physical-biological model of the northwestern Mediterranean sea. Deep Sea Res. Part 2. Top. Stud. Oceanogr. 44 (3/4), 851-880.
28. Varela, R.A., Cruzado, A., Tintore, J., Ladona, E.G., 1992. Modelling the deep-chlorophyll maximum: a coupled physical-biological approach. J. Mar. Res. 50, 441-463.
29. Varela, R.A., Cruzado, A., Tintore, J., 1994. Simulation analysis of various biological and physical factors influencing the deep-chlorophyll maximum structure in oligotrophic areas. J. Mar. Syst. 5, 143-157.
30. Varela, R.A., Cruzado, A., Gabaldon, J.G., 1995. Modelling the dynamics of the North Sea's using the European Regional Seas Ecosystem Model. Neth. J. Sea Res. 33 (3/4), 337-361.
31. Vallino, J.J., 2000. Improving marine ecosystem models: use of data assimilation in mesocosm experiments. J. Mar. Res. 58 (1), 117-164.