Abstract
Following early modelling attempts by Sverdrup, Riley, Steele and others during the 1940s to 1960s, many ecosystem models for a variety of marine environments have been developed during the last 4 decades. These ecosystem models represent an evolution from simple models with 1 or 2 dimensions to more complex models with many dimensions. Recently three-dimensional, time-dependent ecosystem models have been developed (Walsh, 1988; Sarmiento et al., 1989). To some extent ecosystem model development has been hindered because biological and chemical data from coastal and ocean ecosystems are usually limited in time and space coverage. Continuous monitoring systems (Armstrong et al., 1967) supply more complete coverage of variables, such as temperature, salinity, chlorophyll fluorescence, and nutrients; however, these data are. usually still limited by ship location.
Keywords
- Data Assimilation
- Ocean Colour
- Biogeochemical Model
- Phytoplankton Concentration
- Data Assimilation Technique
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abbott MR (ed) (1992) US JGOFS Report:Workshop on modelling and satellite data assimilation. US JGOFS Planning Office WHOI Woods Hole MA
Anderson DLT, Willebrand J (eds) (1989) Oceanic circulation models: Combining data and dynamics. Kluwer
Armstrong FAJ, Stearns CR, Strickland DH (1967) The measurement of upwelling and subsequent biological processes by means of the Technicon Autoanalyzer and associated equipment. Deep-Sea Res 14: 381–389.
Charney J, Halem M, Jastrow R (1969) Use of incomplete historical data to infer the present state of the atmosphere. J Atmos Sci 26: 1160–1163.
Dickey, TD (1988) Recent advances and future directions in multi-disciplinary in situ oceanographic measurement system. In: Rothschild BJ (ed) Toward a Theory on Biological-Physical Interactions in the World Ocean. Kluwer. p 555-598
Flagg CN, Smith SL (1989) On the use of the acoustic Doppler current profiler to measure Zooplankton abundance. Deep-Sea Res 36: 255–274.
Gandin LS (1965) Objective analysis of meteorological fields. Israel Program for Scientific Translations Jerusalem
Goldman JC (1988) Spatial and temporal discontinuities of biological processes in pelagic surface waters. In: Rothschild BJ (ed) Toward a Theory on Biological-Physical Interactions in the World Ocean. Kluwer. p 273-296
Gordon HR, Clark DK, Mueller JL, Hovis WA (1980) Phytoplankton pigments from the Nimbus-7 Coastal Zone Color Scanner: Comparisons with surface measurements. Science 210: 63–66.
Haidvogel DB, Robinson A (1989) Special issue: data assimilation. Dynam Atmos Oceans 13: 171–513.
Hofmann, E. E. and J. Ambler (1988) Plankton dynamics on the outer southeastern U.S. continental shelf. Part II: A time-dependent biological model. J Mar Res 46: 883–917.
Hovis WA, Clark DK, Anderson F, Austin RW, Wilson WH, Baker ET, Ball D, Gordon HR, Mueller JL, El-Sayed SZ, Sturm B, Wrigley RC, Yentsch CS (1980) Nimbus-7 Coastal Zone Color Scanner: system description and initial imagery. Science 210: 60–63.
Ishizaka J (1990a) Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem. 3. Nutrient and phytoplankton fluxes and CZCS data assimilation. J Geophys Res 95: 20201–20212
Ishizaka J (1990b). Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem. 1. CZCS data description and Lagrangian particle tracing experiments. J Geophys Res 95: 20167–20181.
Ishizaka J (1990c). Coupling of Coastal Zone Color Scanner data to a physical-biological model of the southeastern U.S. continental shelf ecosystem. 2. An Eulerian model. J Geophys Res 95: 20183–20199.
Ishizaka J, Hofmann EE (In press). Coupling of ocean colour data to physical-biological models. In: Ocean colour: Theory and applications in a decade of CZCS experience. Kluwer Academic
Kasahara A (1972) Simulation experiments for meteorological observing systems for GARP global experiment. Bull Amer Meteor Soc 54: 252–264.
Leetma A, Ming J (1989) Operational hindcasting of the tropical Pacific. Dyn Atmos Oceans13: 465–490.
McPherson RD (1975) Progress, problems, and prospects in meteorological data assimilation. Bull Amer Meteor Soc 56: 1154–1165.
Najjar, RG, Sarmiento JL and JR Toggweiler (1992) Downward transport and fate of organic matter in the ocean: simulations with a general circulation model. Global Biogeochem Cycle 6: 45–76.
Platt T, Sathyendranath S (1988) Oceanic primary production: Estimation by remote sensing at local and regional scales. Science 241: 1613–1620..
Sathyendranath S, Platt T, Home EPW, Harrison WG, Ulloa S, Outerbridge R, Hoepffner N (1991) Estimation of new production in the ocean by compound remote sensing. Nature 353: 129–133.
Sarmiento J, Fasham MJR, Siegenthaler U, Najjar R, Toggweiler JR (1989) Models of chemical cycling in the ocean: Progress Report II. Ocean Tracers Laboratory Technical Report No. 6. Princeton University Princeton
Walsh JJ (1988) On the Nature of Continental Shelves. Academic San Diego
Zentara SJ, Kamykowski D (1976) Latitudinal relationships among temperature and selected plant nutrients along the west coast of North and South America. J Mar Res 35: 321–337.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ishizaka, J. (1993). Data Assimilation for Biogeochemical Models. In: Evans, G.T., Fasham, M.J.R. (eds) Towards a Model of Ocean Biogeochemical Processes. NATO ASI Series, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84602-1_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-84602-1_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-84604-5
Online ISBN: 978-3-642-84602-1
eBook Packages: Springer Book Archive