Parameter estimates of a zero-dimensional ecosystem model applying the adjoint method
暂无分享,去创建一个
[1] A. Engel. The role of transparent exopolymer particles (TEP) in the increase in apparent particle stickiness (α) during the decline of a diatom bloom , 2000 .
[2] G. Evans,et al. The role of local models and data sets in the Joint Global Ocean Flux Study , 1999 .
[3] A. Oschlies,et al. Sensitivity of ecosystem parameters to simulated satellite ocean color data using a coupled physical-biological model of the North Atlantic , 1999 .
[4] A. Oschlies,et al. An eddy‐permitting coupled physical‐biological model of the North Atlantic: 1. Sensitivity to advection numerics and mixed layer physics , 1999 .
[5] George C. Hurtt,et al. A pelagic ecosystem model calibrated with BATS and OWSI data , 1999 .
[6] M. Ehrhardt,et al. Methods of Seawater Analysis (3rd Edition) , 1999 .
[7] James G. Richman,et al. Data assimilation and a pelagic ecosystem model: parameterization using time series observations , 1998 .
[8] Ricardo M Letelier,et al. The role of dissolved organic matter release in the productivity of the oligotrophic North Pacific Ocean , 1998 .
[9] E. Ruprecht,et al. Determination of cloud liquid water path over the oceans from Special Sensor Microwave/Imager (SSM/I) data using neural networks , 1998 .
[10] Andreas Oschlies,et al. Eddy-induced enhancement of primary production in a model of the North Atlantic Ocean , 1998, Nature.
[11] M. Wells. Marine colloids: A neglected dimension , 1998, Nature.
[12] Ionel Michael Navon,et al. Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography , 1998 .
[13] Peter G. Challenor,et al. A Markov chain Monte Carlo method for estimation and assimilation into models , 1997 .
[14] W. Gardner. THE FLUX OF PARTICLES TO THE DEEP SEA: METHODS, MEASUREMENTS, AND MECHANISMS , 1997 .
[15] Paola Malanotte-Rizzoli,et al. Assimilation studies of open-ocean flows: 1. Estimation of initial and boundary conditions , 1996 .
[16] V. Echevin,et al. Assimilation of surface data in a one-dimensional physical-biogeochemical model of the surface ocean , 1996 .
[17] G. Hurtt,et al. A pelagic ecosystem model calibrated with BATS data , 1996 .
[18] David M. Glover,et al. A new coupled, one-dimensional biological-physical model for the upper ocean: Applications to the JGOFS Bermuda Atlantic Time-series Study (BATS) site , 1996 .
[19] E. Hofmann,et al. Time series sampling and data assimilation in a simple marine ecosystem model , 1996 .
[20] Anthony H. Knap,et al. Overview of the U.S. JGOFS Bermuda Atlantic Time-series Study and the Hydrostation S program , 1996 .
[21] James E. Cloern,et al. An empirical model of the phytoplankton chlorophyll : carbon ratio‐the conversion factor between productivity and growth rate , 1995 .
[22] M. Fasham. Variations in the seasonal cycle of biological production in subarctic oceans: A model sensitivity analysis , 1995 .
[23] Richard J. Matear,et al. Parameter optimization and analysis of ecosystem models using simulated annealing: a case study at Station P , 1995 .
[24] D. Caron,et al. The contribution of microorganisms to particulate carbon and nitrogen in surface waters of the Sargasso Sea near Bermuda , 1995 .
[25] Andreas Schiller,et al. The mean circulation of the Atlantic Ocean north of 30s determined with the adjoint method applied to an ocean general circulation model , 1995 .
[26] G. Evans,et al. The Use of Optimization Techniques to Model Marine Ecosystem Dynamics at the JGOFS Station at 47 degrees N 20 degrees W [and Discussion] , 1995 .
[27] Thomas M. Powell,et al. Ecological Time Series , 1994, Springer US.
[28] A. Michaels. Ocean Time Series Research Near Bermuda: The Hydrostation S Time Series and the Bermuda Atlantic Time-Series Study (BATS) Program , 1995 .
[29] G. Evans,et al. THE USE OF OPTIMIZATION TECHNIQUES TO MODEL MARINE ECOSYSTEM DYNAMICS AT THE JGOFS STATION AT 17 N 20 W , 1995 .
[30] J. Marotzke,et al. Finding the steady state of a general circulation model through data assimilation: Application to the North Atlantic Ocean , 1993 .
[31] Bruce E. Logan,et al. The abundance and significance of a class of large, transparent organic particles in the ocean , 1993 .
[32] J. Toggweiler,et al. A seasonal three‐dimensional ecosystem model of nitrogen cycling in the North Atlantic Euphotic Zone , 1993 .
[33] D. Conley,et al. Transient variations in phytoplankton productivity at the JGOFS Bermuda time series station , 1993 .
[34] J. Steele,et al. The role of predation in plankton models , 1992 .
[35] K. Richardson. Comparison of 14C primary production determinations made by different laboratories , 1991 .
[36] J. O'Brien,et al. Variational data assimilation and parameter estimation in an equatorial Pacific ocean model , 1991 .
[37] William H. Press,et al. Numerical recipes , 1990 .
[38] H. Ducklow,et al. A nitrogen-based model of plankton dynamics in the oceanic mixed layer , 1990 .
[39] A. Alldredge,et al. Direct observations of the mass flocculation of diatom blooms: characteristics, settling velocities and formation of diatom aggregates , 1989 .
[40] A. Morel. Optical modeling of the upper ocean in relation to its biogenous matter content (case I waters) , 1988 .
[41] T. Platt,et al. Biogenic fluxes of carbon and oxygen in the ocean , 1985, Nature.
[42] P. Raimbault,et al. Size structure of phytoplankton biomass in the equatorial Atlantic Ocean , 1985 .
[43] H. Ducklow,et al. Production and Fate of Bacteria in the Oceans , 1983 .
[44] Thomas D. Brock,et al. Calculating solar radiation for ecological studies , 1981 .
[45] B. Peterson,et al. Particulate organic matter flux and planktonic new production in the deep ocean , 1979, Nature.
[46] R. Reed,et al. On Estimating Insolation over the Ocean , 1977 .
[47] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[48] W. Richard,et al. TEMPERATURE AND PHYTOPLANKTON GROWTH IN THE SEA , 1972 .
[49] C. Lovelace,et al. Phase-shift analysis of π−p → KmOΛ , 1971 .
[50] Roger Fletcher,et al. A Rapidly Convergent Descent Method for Minimization , 1963, Comput. J..