메뉴 건너뛰기




Volumn 59, Issue SPECIAL ISSUE, 2010, Pages 7-16

A bayesian approach to state and parameter estimation in a phytoplankton-zooplankton model

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BAYESIAN ANALYSIS; BIOGEOCHEMISTRY; CLIMATE EFFECT; COASTAL ZONE MANAGEMENT; MARKOV CHAIN; NUMERICAL MODEL; PHYTOPLANKTON; QUANTITATIVE ANALYSIS; STOCHASTICITY; ZOOPLANKTON;

EID: 79955643168     PISSN: 1836716X     EISSN: None     Source Type: Journal    
DOI: 10.22499/2.5901.003     Document Type: Article
Times cited : (36)

References (19)
  • 1
    • 48549099300 scopus 로고    scopus 로고
    • Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management
    • Arhonditsis, G. B., Papantou, D., Zhang, W. T., Perhar, G., Massos, E. and Shi, M. L. 2008. Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management. J. Marine Sys., 73(1-2), 8-30.
    • (2008) J. Marine Sys. , vol.73 , Issue.1-2 , pp. 8-30
    • Arhonditsis, G.B.1    Papantou, D.2    Zhang, W.T.3    Perhar, G.4    Massos, E.5    Shi, M.L.6
  • 3
    • 0029473459 scopus 로고
    • The lognormal-distribution as a model for biooptical variability in the sea
    • Campbell, J. W. 1995. The lognormal-distribution as a model for biooptical variability in the sea. J. Geophys. Res.-Oceans 100(C7), 13237-54.
    • (1995) J. Geophys. Res.-Oceans , vol.100 , Issue.C7 , pp. 13237-13254
    • Campbell, J.W.1
  • 5
    • 33745987359 scopus 로고    scopus 로고
    • A sequential Monte Carlo approach for marine ecological prediction
    • DOI 10.1002/env.780
    • Dowd, M. 2006. A sequential Monte Carlo approach for marine ecological prediction. Environmetrics, 17(5), 435-55. (Pubitemid 44065244)
    • (2006) Environmetrics , vol.17 , Issue.5 , pp. 435-455
    • Dowd, M.1
  • 6
    • 36048972344 scopus 로고    scopus 로고
    • Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo
    • DOI 10.1016/j.jmarsys.2007.01.007, PII S0924796307000085
    • Dowd, M. 2007. Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo. J. Marine Sys., 68(3-4), 439-56. (Pubitemid 350086919)
    • (2007) Journal of Marine Systems , vol.68 , Issue.3-4 , pp. 439-456
    • Dowd, M.1
  • 7
    • 0037099499 scopus 로고    scopus 로고
    • An Ensemble Kalman filter with a 1-D marine ecosystem model
    • DOI 10.1016/S0924-7963(02)00134-3, PII S0924796302001343
    • Eknes, M. and Evensen, G. 2002. An Ensemble Kalman filter with a 1-D marine ecosystem model. J. Marine Sys., 36(1-2), 75-100. (Pubitemid 34793714)
    • (2002) Journal of Marine Systems , vol.36 , Issue.1-2 , pp. 75-100
    • Eknes, M.1    Evensen, G.2
  • 9
    • 0025692916 scopus 로고
    • A nitrogenbased model of plankton dynamics in the oceanic mixed layer
    • Fasham, M. J. R., Ducklow, H. W. and McKelvie, S. M. 1990. A nitrogenbased model of plankton dynamics in the oceanic mixed layer. J. Marine Res., 48(3), 591-639.
    • (1990) J. Marine Res. , vol.48 , Issue.3 , pp. 591-639
    • Fasham, M.J.R.1    Ducklow, H.W.2    McKelvie, S.M.3
  • 11
    • 0004012196 scopus 로고    scopus 로고
    • Boca Raton, Fla., Chapman and Hall/CRC Press
    • Gelman, A. 2003. Bayesian data analysis. Boca Raton, Fla., Chapman and Hall/CRC Press.
    • (2003) Bayesian Data Analysis
    • Gelman, A.1
  • 13
    • 0030838981 scopus 로고    scopus 로고
    • A Markov chain Monte Carlo method for estimation and assimilation into models
    • DOI 10.1016/S0304-3800(97)01947-9, PII S0304380097019479
    • Harmon, R. and Challenor, P. 1997. A Markov chain Monte Carlo method for estimation and assimilation into models. Eco. Modelling, 101(1), 41-59. (Pubitemid 27288834)
    • (1997) Ecological Modelling , vol.101 , Issue.1 , pp. 41-59
    • Harmon, R.1    Challenor, P.2
  • 14
    • 65549085380 scopus 로고    scopus 로고
    • A three-dimensional variational data assimilation scheme for the regional ocean modeling system
    • Li, Z. J., Chao, Y., McWilliams, J. C. and Ide, K. 2008. A Three-Dimensional Variational Data Assimilation Scheme for the Regional Ocean Modeling System. J. Atmos. Ocean. Tech., 25(11), 2074-90.
    • (2008) J. Atmos. Ocean. Tech. , vol.25 , Issue.11 , pp. 2074-2090
    • Li, Z.J.1    Chao, Y.2    McWilliams, J.C.3    Ide, K.4
  • 15
    • 0347079589 scopus 로고    scopus 로고
    • Modelling of error covariances by 4D-Var data assimilation
    • DOI 10.1256/qj.02.131
    • Lorenc, A. C. 2003. Modelling of error covariances by 4D-Var data assimilation. Q. Jl R. Met. Soc., 129(595), 3167-82. (Pubitemid 38034054)
    • (2003) Quarterly Journal of the Royal Meteorological Society , vol.129 , Issue.PART B595 , pp. 3167-3182
    • Lorenc, A.C.1
  • 16
    • 33846837061 scopus 로고
    • Undamped oscillations derived from the law of mass action
    • Lotka, A. J. 1920. Undamped oscillations derived from the law of mass action. J. Amer. Chem. Soc., 42, 1595-9.
    • (1920) J. Amer. Chem. Soc. , vol.42 , pp. 1595-1599
    • Lotka, A.J.1
  • 18
    • 80055008625 scopus 로고    scopus 로고
    • Assimilation of ocean colour data into a biochemical model of the North Atlantic - Part 1. Data assimilation experiments
    • Liege, Belgium, Elsevier Science Bv
    • Natvik, L. J. and Evensen, G. 2001. Assimilation of ocean colour data into a biochemical model of the North Atlantic - Part 1. Data assimilation experiments. 33rd International Liege Colloquium on Ocean Dynamics, Liege, Belgium, Elsevier Science Bv.
    • (2001) 33rd International Liege Colloquium on Ocean Dynamics
    • Natvik, L.J.1    Evensen, G.2
  • 19
    • 0006170098 scopus 로고
    • Fluctuations in the abundance of a species considered mathematically
    • Volterra, V. 1926. Fluctuations in the abundance of a species considered mathematically. Nature, 118, 558-60.
    • (1926) Nature , vol.118 , pp. 558-560
    • Volterra, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.