메뉴 건너뛰기




Volumn 28, Issue 4, 2013, Pages 466-486

Modern statistical methods in oceanography: A hierarchical perspective

Author keywords

Bayesian; Biogeochemical; Ecosystem; Ocean vector winds; Quadratic nonlinearity; Sea surface temperature; Spatio temporal; State space

Indexed keywords


EID: 84891764877     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/13-STS436     Document Type: Article
Times cited : (28)

References (125)
  • 1
    • 84859443747 scopus 로고    scopus 로고
    • Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content
    • MR2914207
    • ALDRIN, M., HOLDEN, M., GUTTORP, P., SKEIE, R. B., MYHRE, G. andBERNTSEN, T. K. (2012). Bayesian estimation of climate sensitivity based on a simple climate model fitted to observations of hemispheric temperatures and global ocean heat content. Environmetrics 23 253-271. MR2914207
    • (2012) Environmetrics , vol.23 , pp. 253-271
    • Aldrin, M.1    Holden, M.2    Guttorp, P.3    Skeie, R.B.4    Myhre, G.5    Berntsen, T.K.6
  • 3
    • 4444378590 scopus 로고    scopus 로고
    • Hierarchical Modeling and Analysis for Spatial Data 101
    • Chapman & Hall/CRC, Boca Raton.
    • BANERJEE, S., CARLIN, B. and GELFAND, A. (2003). Hierarchical Modeling and Analysis for Spatial Data 101. Chapman & Hall/CRC, Boca Raton.
    • (2003)
    • Banerjee, S.1    Carlin, B.2    Gelfand, A.3
  • 4
    • 0019678103 scopus 로고
    • Statistical prediction of North American air temperatures from Pacific predictors
    • BARNETT, T. (1981). Statistical prediction of North American air temperatures from Pacific predictors. Monthly Weather Review 109 1021-1041.
    • (1981) Monthly Weather Review , vol.109 , pp. 1021-1041
    • Barnett, T.1
  • 5
    • 0000123158 scopus 로고
    • Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis
    • BARNETT, T. and PREISENDORFER, R. (1987). Origins and levels of monthly and seasonal forecast skill for United States surface air temperatures determined by canonical correlation analysis. Monthly Weather Review 115 1825-1850.
    • (1987) Monthly Weather Review , vol.115 , pp. 1825-1850
    • Barnett, T.1    Preisendorfer, R.2
  • 6
    • 0010387656 scopus 로고    scopus 로고
    • Predictive skill of statistical and dynamical climate models in SST forecasts during the 1997-98 El Niño episode and the 1998 La Niña onset
    • BARNSTON, A., HE, Y. and GLANTZ, M. (1999). Predictive skill of statistical and dynamical climate models in SST forecasts during the 1997-98 El Niño episode and the 1998 La Niña onset. Bulletin of the American Meteorological Society 80 217- 243.
    • (1999) Bulletin of the American Meteorological Society , vol.80
    • Barnston, A.1    He, Y.2    Glantz, M.3
  • 7
    • 0036964474 scopus 로고    scopus 로고
    • Approximate Bayesian computation in population genetics
    • BEAUMONT, M. A., ZHANG, W. and BALDING, D. J. (2002). Approximate Bayesian computation in population genetics. Genetics 162 2025-2035.
    • (2002) Genetics , vol.162 , pp. 2025-2035
    • Beaumont, M.A.1    Zhang, W.2    Balding, D.J.3
  • 8
    • 0009924881 scopus 로고    scopus 로고
    • Inverse Modeling of the Ocean and Atmosphere
    • Cambridge Univ. Press, Cambridge. MR1920432
    • BENNETT, A. F. (2002). Inverse Modeling of the Ocean and Atmosphere. Cambridge Univ. Press, Cambridge. MR1920432
    • (2002)
    • Bennett, A.F.1
  • 9
    • 0006198702 scopus 로고    scopus 로고
    • Hierarchical Bayesian time series models
    • In Maximum Entropy and Bayesian Methods (Santa Fe, NM, 1995) Kluwer Academic, Dordrecht. MR1446713
    • BERLINER, L. M. (1996). Hierarchical Bayesian time series models. In Maximum Entropy and Bayesian Methods (Santa Fe, NM, 1995). Fund. Theories Phys. 79 15-22. Kluwer Academic, Dordrecht. MR1446713
    • (1996) Fund. Theories Phys. , vol.79 , pp. 15-22
    • Berliner, L.M.1
  • 10
    • 0034484835 scopus 로고    scopus 로고
    • Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling
    • BERLINER, L., WIKLE, C. and CRESSIE, N. (2000). Long-lead prediction of Pacific SSTs via Bayesian dynamic modeling. Journal of Climate 13 3953-3968.
    • (2000) Journal of Climate , vol.13 , pp. 3953-3968
    • Berliner, L.1    Wikle, C.2    Cressie, N.3
  • 11
    • 84872347974 scopus 로고    scopus 로고
    • Advanced MCMC methods for sampling on diffusion pathspace
    • MR3016228
    • BESKOS, A., KALOGEROPOULOS, K. and PAZOS, E. (2013). Advanced MCMC methods for sampling on diffusion pathspace. Stochastic Process. Appl. 123 1415-1453. MR3016228
    • (2013) Stochastic Process. Appl. , vol.123 , pp. 1415-1453
    • Beskos, A.1    Kalogeropoulos, K.2    Pazos, E.3
  • 13
    • 83555179137 scopus 로고    scopus 로고
    • Modeling space-time dynamics of aerosols using satellite data and atmospheric transport model output
    • CALDER, C., BERRETT, C., SHI, T., XIAO, N. andMUNROE, D. (2011). Modeling space-time dynamics of aerosols using satellite data and atmospheric transport model output. J. Agric. Biol. Environ. Stat. 16 495-512.
    • (2011) J. Agric. Biol. Environ. Stat. , vol.16 , pp. 495-512
    • Calder, C.1    Berrett, C.2    Shi, T.3    Xiao, N.4    Munroe, D.5
  • 14
    • 84972511496 scopus 로고
    • Physical oceanography: A brief overview for statisticians
    • CHELTON, D. (1994). Physical oceanography: A brief overview for statisticians. Statist. Sci. 9 150-166.
    • (1994) Statist. Sci. , vol.9 , pp. 150-166
    • Chelton, D.1
  • 15
    • 12944315877 scopus 로고    scopus 로고
    • Models for Ecological Data: An Introduction
    • Princeton Univ. Press, Princeton, NJ. MR2292764
    • CLARK, J. S. (2007). Models for Ecological Data: An Introduction. Princeton Univ. Press, Princeton, NJ. MR2292764
    • (2007)
    • Clark, J.S.1
  • 17
    • 84870997140 scopus 로고    scopus 로고
    • Accounting for missing data when assessing availability in animal population surveys: An application to ice-associated seals in the Bering Sea
    • CONN, P., JOHNSON, D., LONDON, J. and BOVENG, P. (2012). Accounting for missing data when assessing availability in animal population surveys: An application to ice-associated seals in the Bering Sea. Methods in Ecology and Evolution 3 1039- 1046.
    • (2012) Methods in Ecology and Evolution , vol.3
    • Conn, P.1    Johnson, D.2    London, J.3    Boveng, P.4
  • 18
    • 69249168661 scopus 로고    scopus 로고
    • Gaussian process emulation of dynamic computer codes
    • MR2538764
    • CONTI, S., GOSLING, J. P., OAKLEY, J. E. and O'HAGAN, A. (2009). Gaussian process emulation of dynamic computer codes. Biometrika 96 663-676. MR2538764
    • (2009) Biometrika , vol.96 , pp. 663-676
    • Conti, S.1    Gosling, J.P.2    Oakley, J.E.3    O'Hagan, A.4
  • 19
    • 84876226222 scopus 로고    scopus 로고
    • Statistics for Spatiotemporal Data
    • Wiley, Hoboken, NJ. MR2848400
    • CRESSIE, N. and WIKLE, C. K. (2011). Statistics for Spatiotemporal Data. Wiley, Hoboken, NJ. MR2848400
    • (2011)
    • Cressie, N.1    Wikle, C.K.2
  • 20
    • 65349116559 scopus 로고    scopus 로고
    • Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling
    • CRESSIE, N., CALDER, C., CLARK, J., HOEF, J. andWIKLE, C. (2009). Accounting for uncertainty in ecological analysis: The strengths and limitations of hierarchical statistical modeling. Ecological Applications 19 553-570.
    • (2009) Ecological Applications , vol.19 , pp. 553-570
    • Cressie, N.1    Calder, C.2    Clark, J.3    Hoef, J.4    Wikle, C.5
  • 21
    • 84950437532 scopus 로고
    • Bayesian prediction of deterministic functions, with applications to the design and analysis of computer experiments
    • MR1146343
    • CURRIN, C., MITCHELL, T., MORRIS, M. and YLVISAKER, D. (1991). Bayesian prediction of deterministic functions, with applications to the design and analysis of computer experiments. J. Amer. Statist. Assoc. 86 953-963. MR1146343
    • (1991) J. Amer. Statist. Assoc. , vol.86 , pp. 953-963
    • Currin, C.1    Mitchell, T.2    Morris, M.3    Ylvisaker, D.4
  • 22
    • 85040897227 scopus 로고
    • Atmospheric Data Analysis
    • Cambridge Atmospheric and Space Science Series 4 57. Cambridge Univ. Press, Cambridge.
    • DALEY, R. (1991). Atmospheric Data Analysis. Cambridge Atmospheric and Space Science Series 4 57. Cambridge Univ. Press, Cambridge.
    • (1991)
    • Daley, R.1
  • 23
    • 0000749043 scopus 로고
    • Predictability of sea surface temperature and sea level pressure anomalies over the North Pacific Ocean
    • DAVIS, R. (1976). Predictability of sea surface temperature and sea level pressure anomalies over the North Pacific Ocean. Journal of Physical Oceanography 6 249-266.
    • (1976) Journal of Physical Oceanography , vol.6 , pp. 249-266
    • Davis, R.1
  • 24
    • 0036209298 scopus 로고    scopus 로고
    • Advice on West Coast rockfish harvest rates from Bayesian meta-analysis of stock-recruit relationships
    • DORN, M. (2002). Advice on West Coast rockfish harvest rates from Bayesian meta-analysis of stock-recruit relationships. North American Journal of Fisheries Management 22 280-300.
    • (2002) North American Journal of Fisheries Management , vol.22 , pp. 280-300
    • Dorn, M.1
  • 25
    • 33745987359 scopus 로고    scopus 로고
    • A sequential Monte Carlo approach for marine ecological prediction
    • MR2240936
    • DOWD, M. (2006). A sequential Monte Carlo approach for marine ecological prediction. Environmetrics 17 435-455. MR2240936
    • (2006) Environmetrics , vol.17 , pp. 435-455
    • Dowd, M.1
  • 26
    • 36048972344 scopus 로고    scopus 로고
    • Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo
    • DOWD, M. (2007). Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo. Journal of Marine Systems 68 439-456.
    • (2007) Journal of Marine Systems , vol.68 , pp. 439-456
    • Dowd, M.1
  • 27
    • 79955634438 scopus 로고    scopus 로고
    • Estimating parameters for a stochastic dynamic marine ecological system
    • MR2843404
    • DOWD, M. (2011). Estimating parameters for a stochastic dynamic marine ecological system. Environmetrics 22 501-515. MR2843404
    • (2011) Environmetrics , vol.22 , pp. 501-515
    • Dowd, M.1
  • 28
  • 29
    • 0003509081 scopus 로고    scopus 로고
    • Data Analysis Methods in Physical Oceanography
    • Elsevier, Amsterdam.
    • EMERY, W. and THOMSON, R. (2001). Data Analysis Methods in Physical Oceanography. Elsevier, Amsterdam.
    • (2001)
    • Emery, W.1    Thomson, R.2
  • 30
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • EVENSEN, G. (1994). Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. Journal of Geophysical Research 99 10.
    • (1994) Journal of Geophysica Research , vol.99 , pp. 10
    • Evensen, G.1
  • 31
    • 84895347518 scopus 로고    scopus 로고
    • Data Assimilation: The Ensemble Kalman Filter, 2nd ed
    • Springer, Berlin. MR2555209
    • EVENSEN, G. (2009). Data Assimilation: The Ensemble Kalman Filter, 2nd ed. Springer, Berlin. MR2555209
    • (2009)
    • Evensen, G.1
  • 32
    • 84861111043 scopus 로고    scopus 로고
    • Constructing summary statistics for approximate Bayesian computation: Semiautomatic approximate Bayesian computation
    • MR2925370
    • FEARNHEAD, P. and PRANGLE, D. (2012). Constructing summary statistics for approximate Bayesian computation: Semiautomatic approximate Bayesian computation. J. R. Stat. Soc. Ser. B Stat. Methodol. 74 419-474. MR2925370
    • (2012) J. R. Stat. Soc. Ser. B Stat. Methodol. , vol.74 , pp. 419-474
    • Fearnhead, P.1    Prangle, D.2
  • 33
    • 82455212979 scopus 로고    scopus 로고
    • Iron limitation impact on eddy-induced ecosystem variability in the coastal Gulf of Alaska
    • FIECHTER, J. and MOORE, A. M. (2012). Iron limitation impact on eddy-induced ecosystem variability in the coastal Gulf of Alaska. Journal of Marine Systems 92 1-15.
    • (2012) Journal of Marine Systems , vol.92 , pp. 1-15
    • Fiechter, J.1    Moore, A.M.2
  • 34
    • 34548030473 scopus 로고    scopus 로고
    • Effect of ENSO on Queensland seasonal landfalling tropical cyclone activity
    • FLAY, S. andNOTT, J. (2007). Effect of ENSO on Queensland seasonal landfalling tropical cyclone activity. International Journal of Climatology 27 1327-1334.
    • (2007) International Journal of Climatology , vol.27 , pp. 1327-1334
    • Flay, S.1    Nott, J.2
  • 35
    • 4444274465 scopus 로고    scopus 로고
    • Sea winds algorithm theoretical basis document
    • Jet Propulsion Laboratory, Pasadena, CA.
    • FREILICH, M. (1996). Sea winds algorithm theoretical basis document. Jet Propulsion Laboratory, Pasadena, CA.
    • (1996)
    • Freilich, M.1
  • 36
    • 68749116583 scopus 로고    scopus 로고
    • Fast data assimilation using a nonlinear Kalman filter and a model surrogate: An application to the Columbia River estuary
    • FROLOV, S., BAPTISTA, A., LEEN, T., LU, Z. and VAN DER MERWE, R. (2009). Fast data assimilation using a nonlinear Kalman filter and a model surrogate: An application to the Columbia River estuary. Dynamics of Atmospheres and Oceans 48 16-45.
    • (2009) Dynamics of Atmospheres and Oceans , vol.48 , pp. 16-45
    • Frolov, S.1    Baptista, A.2    Leen, T.3    Lu, Z.4    Van Der Merwe, R.5
  • 37
    • 34249874205 scopus 로고    scopus 로고
    • Multivariate Bayesian analysis of atmosphere-ocean general circulation models
    • MR2405329
    • FURRER, R., SAIN, S. R., NYCHKA, D. and MEEHL, G. A. (2007). Multivariate Bayesian analysis of atmosphere-ocean general circulation models. Environ. Ecol. Stat. 14 249-266. MR2405329
    • (2007) Environ. Ecol. Stat. , vol.14 , pp. 249-266
    • Furrer, R.1    Sain, S.R.2    Nychka, D.3    Meehl, G.A.4
  • 38
    • 67649946286 scopus 로고    scopus 로고
    • Bayesian Data Analysis, 2nd ed
    • Chapman &Hall/CRC, Boca Raton, FL. MR1385925
    • GELMAN, A., CARLIN, J. B., STERN, H. S. and RUBIN, D. B. (2004). Bayesian Data Analysis, 2nd ed. Chapman &Hall/CRC, Boca Raton, FL. MR1385925
    • (2004)
    • Gelman, A.1    Carlin, J.B.2    Stern, H.S.3    Rubin, D.B.4
  • 39
    • 84893179575 scopus 로고
    • Variable selection via Gibbs sampling
    • GEORGE, E. andMCCULLOCH, R. (1993). Variable selection via Gibbs sampling. J. Amer. Statist. Assoc. 88 881-889.
    • (1993) J. Amer. Statist. Assoc. , vol.88 , pp. 881-889
    • George, E.1    Mcculloch, R.2
  • 40
    • 0031526204 scopus 로고    scopus 로고
    • Approaches for Bayesian variable selection
    • GEORGE, E. and MCCULLOCH, R. (1997). Approaches for Bayesian variable selection. Statist. Sinica 7 339-374.
    • (1997) Statist. Sinica , vol.7 , pp. 339-374
    • George, E.1    Mcculloch, R.2
  • 41
    • 33645807073 scopus 로고
    • Data assimilation in meteorology and oceanography
    • GHIL, M. and MALANOTTE-RIZZOLI, P. (1991). Data assimilation in meteorology and oceanography. Adv. Geophys 33 141- 266.
    • (1991) Adv. Geophys , vol.33
    • Ghil, M.1    Malanotte-Rizzoli, P.2
  • 42
    • 0038563932 scopus 로고    scopus 로고
    • An adaptive Metropolis algorithm
    • MR1828504
    • HAARIO, H., SAKSMAN, E. and TAMMINEN, J. (2001). An adaptive Metropolis algorithm. Bernoulli 7 223-242. MR1828504
    • (2001) Bernoulli , vol.7 , pp. 223-242
    • Haario, H.1    Saksman, E.2    Tamminen, J.3
  • 43
    • 80051604055 scopus 로고    scopus 로고
    • Velocity-based movement modeling for individual and population level inference
    • HANKS, E., HOOTEN, M., JOHNSON, D. and STERLING, J. (2011). Velocity-based movement modeling for individual and population level inference. PloS One 6 e22795.
    • (2011) PloS One , vol.6
    • Hanks, E.1    Hooten, M.2    Johnson, D.3    Sterling, J.4
  • 44
    • 0030838981 scopus 로고    scopus 로고
    • A Markov chain Monte Carlo method for estimation and assimilation into models
    • HARMON, R. andCHALLENOR, P. (1997). A Markov chain Monte Carlo method for estimation and assimilation into models. Ecological Modelling 101 41-59.
    • (1997) Ecological Modelling , vol.101 , pp. 41-59
    • Harmon, R.1    Challenor, P.2
  • 45
    • 0000308962 scopus 로고
    • Normal monthly wind stress over the world ocean with error estimates
    • HELLERMAN, S. and ROSENSTEIN, M. (1983). Normal monthly wind stress over the world ocean with error estimates. Journal of Physical Oceanography 13 1093-1104.
    • (1983) Journal of Physical Oceanography , vol.13 , pp. 1093-1104
    • Hellerman, S.1    Rosenstein, M.2
  • 46
    • 65649110897 scopus 로고    scopus 로고
    • Gyres and jets: Inversion of tracer data for ocean circulation structure
    • HERBEI, R.,MCKEAGUE, I. W. and SPEER, K. G (2008). Gyres and jets: Inversion of tracer data for ocean circulation structure. J. Phys. Ocean. 38 1180-1202.
    • (2008) J. Phys. Ocean. , vol.38 , pp. 1180-1202
    • Herbei, R.1    Mckeague, I.W.2    Speer, K.G.3
  • 47
    • 0032422974 scopus 로고    scopus 로고
    • A process-convolution approach to modelling temperatures in the North Atlantic Ocean
    • HIGDON, D. (1998). A process-convolution approach to modelling temperatures in the North Atlantic Ocean. Environ. Ecol. Stat. 5 173-190.
    • (1998) Environ. Ecol. Stat. , vol.5 , pp. 173-190
    • Higdon, D.1
  • 48
    • 0028162219 scopus 로고
    • A Bayesian estimation and decision analysis for an agestructured model using biomass survey data
    • HILBORN, R., PIKITCH, E. and MCALLISTER, M. (1994). A Bayesian estimation and decision analysis for an agestructured model using biomass survey data. Fisheries Research 19 17-30.
    • (1994) Fisheries Research , vol.19 , pp. 17-30
    • Hilborn, R.1    Pikitch, E.2    Mcallister, M.3
  • 50
    • 84859536944 scopus 로고    scopus 로고
    • A Bayesian hierarchical model of Antarctic fur seal foraging and pup growth related to sea ice and prey abundance
    • HIRUKI-RARING, L., HOEF, J., BOVENG, P. and BENGTSON, J. (2012). A Bayesian hierarchical model of Antarctic fur seal foraging and pup growth related to sea ice and prey abundance. Ecological Applications 22 668-684.
    • (2012) Ecological Applications , vol.22 , pp. 668-684
    • Hiruki-Raring, L.1    Hoef, J.2    Boveng, P.3    Bengtson, J.4
  • 51
    • 0031207768 scopus 로고    scopus 로고
    • El Niño, La Niña, and the nonlinearity of their teleconnections
    • HOERLING, M.,KUMAR, A. and ZHONG, M. (1997). El Niño, La Niña, and the nonlinearity of their teleconnections. Journal of Climate 10 1769-1786.
    • (1997) Journal of Climate , vol.10 , pp. 1769-1786
    • Hoerling, M.1    Kumar, A.2    Zhong, M.3
  • 52
    • 0032929498 scopus 로고    scopus 로고
    • Direct measurement of the deep circulation within the Brazil Basin
    • HOGG, N. G. and OWENS, W. B. (1999). Direct measurement of the deep circulation within the Brazil Basin. Deep-Sea Res. 46 335-353.
    • (1999) Deep-Sea Res. , vol.46 , pp. 335-353
    • Hogg, N.G.1    Owens, W.B.2
  • 54
    • 83555177267 scopus 로고    scopus 로고
    • Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models
    • MR2862294
    • HOOTEN, M. B., LEEDS, W. B., FIECHTER, J. andWIKLE, C. K. (2011). Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models. J. Agric. Biol. Environ. Stat. 16 475-494. MR2862294
    • (2011) J. Agric. Biol. Environ. Stat. , vol.16 , pp. 475-494
    • Hooten, M.B.1    Leeds, W.B.2    Fiechter, J.3    Wikle, C.K.4
  • 55
    • 46749141311 scopus 로고    scopus 로고
    • Continuous-time correlated random walk model for animal telemetry data
    • JOHNSON, D. S., LONDON, J. M., LEA, M.-A. and DURBAN, J. W. (2008). Continuous-time correlated random walk model for animal telemetry data. Ecology 89 1208-1215. JOLLIFFE, I. (2002). Principal Component Analysis, 2nd ed. Springer, New York.
    • (2008) Ecology , vol.89 , pp. 1208-1215
    • Johnson, D.S.1    London, J.M.2    Lea, M.-A.3    Durban, J.W.4
  • 56
    • 0003946510 scopus 로고    scopus 로고
    • Principal Component Analysis
    • 2nd ed. Springer, New York.
    • JOLLIFFE, I. (2002). Principal Component Analysis, 2nd ed. Springer, New York.
    • (2002)
    • Jolliffe, I.1
  • 57
    • 34548283967 scopus 로고    scopus 로고
    • Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model
    • JONSEN, I., MYERS, R. and JAMES, M. (2007). Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model. Marine Ecology Progress Series 337 255-264.
    • (2007) Marine Ecology Progress Series , vol.337 , pp. 255-264
    • Jonsen, I.1    Myers, R.2    James, M.3
  • 58
    • 0008510807 scopus 로고    scopus 로고
    • Atmospheric Modeling, Data Assimilation and Predictability
    • Cambridge Univ. Press, Cambridge.
    • KALNAY, E. (2003). Atmospheric Modeling, Data Assimilation and Predictability. Cambridge Univ. Press, Cambridge. KIRSCH, A. (1996). An Introduction to the Mathematical Theory of Inverse Problems. Applied Mathematical Sciences 120. Springer, New York. MR1479408
    • (2003)
    • Kalnay, E.1
  • 59
    • 0004060225 scopus 로고    scopus 로고
    • An Introduction to the Mathematical Theory of Inverse Problems
    • Applied Mathematical Sciences 120. Springer, New York MR1479408
    • KIRSCH, A. (1996). An Introduction to the Mathematical Theory of Inverse Problems. Applied Mathematical Sciences 120. Springer, New York MR1479408
    • (1996)
    • Kirsch, A.1
  • 61
    • 84890226046 scopus 로고    scopus 로고
    • Surface fluxes for practitioners of global data assimilation
    • In Ocean Weather Forecasting (E. Chassignet and J. Verron, eds.) Springer, Dordrecht.
    • LARGE, W. (2006). Surface fluxes for practitioners of global data assimilation. In Ocean Weather Forecasting (E. Chassignet and J. Verron, eds.) 229-270. Springer, Dordrecht.
    • (2006) , pp. 229-270
    • Large, W.1
  • 62
    • 0033380721 scopus 로고    scopus 로고
    • A Markov random field spatio-temporal analysis of ocean temperature
    • LAVINE, M. and LOZIER, S. (1999). A Markov random field spatio-temporal analysis of ocean temperature. Environ. Ecol. Stat. 6 249-273.
    • (1999) Environ. Ecol. Stat. , vol.6 , pp. 249-273
    • Lavine, M.1    Lozier, S.2
  • 63
    • 84872073159 scopus 로고    scopus 로고
    • Emulatorassisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes
    • DOI:10.1016/j.statmet.2012.11.004
    • LEEDS, W., WIKLE, C. and FIECHTER, J. (2013). Emulatorassisted reduced-rank ecological data assimilation for nonlinear multivariate dynamical spatio-temporal processes. Stat. Methodol. To appear. DOI:10.1016/j.statmet.2012.11.004.
    • (2013) Stat. Methodol. To appear.
    • Leeds, W.1    Wikle, C.2    Fiechter, J.3
  • 64
    • 84872132151 scopus 로고    scopus 로고
    • Modeling 3-D spatio-temporal biogeochemical processes with a forest of 1-D statistical emulators
    • LEEDS, W., WIKLE, C., FIECHTER, J., BROWN, J. and MILLIFF, R. (2013). Modeling 3-D spatio-temporal biogeochemical processes with a forest of 1-D statistical emulators. Environmetrics 24 1-12.
    • (2013) Environmetrics , vol.24 , pp. 1-12
    • Leeds, W.1    Wikle, C.2    Fiechter, J.3    Brown, J.4    Milliff, R.5
  • 65
    • 70350302371 scopus 로고    scopus 로고
    • A spatio-temporal model for mean, anomaly, and trend fields of North Atlantic sea surface temperature
    • MR2662306
    • LEMOS, R. T. and SANSÓ, B. (2009). A spatio-temporal model for mean, anomaly, and trend fields of North Atlantic sea surface temperature. J. Amer. Statist. Assoc. 104 5-18. MR2662306
    • (2009) J. Amer. Statist. Assoc. , vol.104 , pp. 5-18
    • Lemos, R.T.1    SansÓ, B.2
  • 66
    • 77954847045 scopus 로고    scopus 로고
    • Hierarchical Bayesian modelling of wind and sea surface temperature from the Portuguese coast
    • LEMOS, R., SANSÓ, B. and SANTOS, F. (2009). Hierarchical Bayesian modelling of wind and sea surface temperature from the Portuguese coast. International Journal of Climatology 30 1423-1430.
    • (2009) International Journal of Climatology , vol.30 , pp. 1423-1430
    • Lemos, R.1    SansÓ, B.2    Santos, F.3
  • 67
    • 81255134393 scopus 로고    scopus 로고
    • Conditionally linear models for non-homogeneous spatial random fields
    • MR2863614
    • LEMOS, R. T. and SANSÓ, B. (2012). Conditionally linear models for non-homogeneous spatial random fields. Stat. Methodol. 9 275-284. MR2863614
    • (2012) Stat. Methodol. , vol.9 , pp. 275-284
    • Lemos, R.T.1    SansÓ, B.2
  • 68
    • 69249088887 scopus 로고    scopus 로고
    • Hierarchical Bayesian modeling of multisite daily rainfall occurrence: Rainy season onset, peak, and end
    • LIMA, C. and LALL, U. (2009). Hierarchical Bayesian modeling of multisite daily rainfall occurrence: Rainy season onset, peak, and end. Water Resources Research 45 W07422.
    • (2009) Water Resources Research , vol.45
    • Lima, C.1    Lall, U.2
  • 69
    • 70350742523 scopus 로고    scopus 로고
    • A dynamic modelling strategy for Bayesian computer model emulation
    • MR2507369
    • LIU, F. and WEST, M. (2009). A dynamic modelling strategy for Bayesian computer model emulation. Bayesian Anal. 4 393- 411. MR2507369
    • (2009) Bayesian Anal. , vol.4
    • Liu, F.1    West, M.2
  • 71
    • 0029504289 scopus 로고
    • The climatology of the North Atlantic
    • LOZIER, M. S., OWENS, W. and CURRY, R. (1995). The climatology of the North Atlantic. Prog. Oceanogr. 36 1-44.
    • (1995) Prog. Oceanogr. , vol.36 , pp. 1-44
    • Lozier, M.S.1    Owens, W.2    Curry, R.3
  • 72
    • 84870475304 scopus 로고    scopus 로고
    • Physics constrained nonlinear regression models for time series
    • MR3001768
    • MAJDA, A. J. andHARLIM, J. (2013). Physics constrained nonlinear regression models for time series. Nonlinearity 26 201-217. MR3001768
    • (2013) Nonlinearity , vol.26 , pp. 201-217
    • Majda, A.J.1    Harlim, J.2
  • 73
    • 84861676871 scopus 로고    scopus 로고
    • Fundamental limitations of ad hoc linear and quadratic multi-level regression models for physical systems
    • MAJDA, A. J. and YUAN, Y. (2012). Fundamental limitations of ad hoc linear and quadratic multi-level regression models for physical systems. Discrete Contin. Dyn. Syst. 4 1333-1363.
    • (2012) Discrete Contin. Dyn. Syst. , vol.4 , pp. 1333-1363
    • Majda, A.J.1    Yuan, Y.2
  • 74
    • 80054756971 scopus 로고    scopus 로고
    • Sequential data assimilation in fine-resolution models using error-subspace emulators: Theory and preliminary evaluation
    • MARGVELASHVILI, N. and CAMPBELL, E. (2012). Sequential data assimilation in fine-resolution models using error-subspace emulators: Theory and preliminary evaluation. Journal of Marine Systems 90 13-22.
    • (2012) Journal of Marine Systems , vol.90 , pp. 13-22
    • Margvelashvili, N.1    Campbell, E.2
  • 75
    • 0002239315 scopus 로고
    • Quasi-geostrophic motions in the equatorial area
    • MATSUNO, T. (1966). Quasi-geostrophic motions in the equatorial area. J. Meteor. Soc. Japan 44 25-43.
    • (1966) J. Meteor. Soc. Japan , vol.44 , pp. 25-43
    • Matsuno, T.1
  • 76
    • 84859266174 scopus 로고    scopus 로고
    • Estimating time-dependent parameters for a biological ocean model using an emulator approach
    • MATTERN, J., FENNEL, K. and DOWD, M. (2012). Estimating time-dependent parameters for a biological ocean model using an emulator approach. Journal of Marine Systems 96 32-47.
    • (2012) Journal of Marine Systems , vol.96 , pp. 32-47
    • Mattern, J.1    Fennel, K.2    Dowd, M.3
  • 77
    • 0032424452 scopus 로고    scopus 로고
    • Bayesian stock assessment: A review and example application using the logistic model
    • MCALLISTER, M. andKIRKWOOD, G. (1998). Bayesian stock assessment: A review and example application using the logistic model. ICES Journal of Marine Science: Journal du Conseil 55 1031-1060.
    • (1998) ICES Journal of Marine Science: Journal du Conseil , vol.55 , pp. 1031-1060
    • Mcallister, M.1    Kirkwood, G.2
  • 79
    • 25844479716 scopus 로고    scopus 로고
    • Statistical inversion of South Atlantic circulation in an abyssal neutral density layer
    • MCKEAGUE, I. W., NICHOLLS, G. K., SPEER, K. G. and HERBEI, R. (2005). Statistical inversion of South Atlantic circulation in an abyssal neutral density layer. J. Mar. Res. 63 683-704.
    • (2005) J. Mar. Res. , vol.63 , pp. 683-704
    • McKeague, I.W.1    Nicholls, G.K.2    Speer, K.G.3    Herbei, R.4
  • 80
    • 34250639108 scopus 로고    scopus 로고
    • Fundamentals of Geophysical Fluid Dynamics
    • Cambridge Univ. Press, Cambridge.
    • MCWILLIAMS, J. (2006). Fundamentals of Geophysical Fluid Dynamics. Cambridge Univ. Press, Cambridge.
    • (2006)
    • Mcwilliams, J.1
  • 81
    • 33847042144 scopus 로고    scopus 로고
    • A bioenergeticsbased population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient- phytoplankton-zooplankton model: Description, calibration, and sensitivity analysis
    • MEGREY, B., ROSE, K., KLUMB, R., HAY, D., WERNER, F., ESLINGER, D. and SMITH, S. (2007). A bioenergeticsbased population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient- phytoplankton-zooplankton model: Description, calibration, and sensitivity analysis. Ecological Modelling 202 144-164.
    • (2007) Ecological Modelling , vol.202 , pp. 144-164
    • Megrey, B.1    Rose, K.2    Klumb, R.3    Hay, D.4    Werner, F.5    Eslinger, D.6    Smith, S.7
  • 82
    • 6344231959 scopus 로고    scopus 로고
    • A Bayesian hierarchical analysis of stock recruit data: Quantifying structural and parameter uncertainties
    • MICHIELSENS, C. andMCALLISTER, M. (2004). A Bayesian hierarchical analysis of stock recruit data: Quantifying structural and parameter uncertainties. Canadian Journal of Fisheries and Aquatic Sciences 61 1032-1047.
    • (2004) Canadian Journal of Fisheries and Aquatic Sciences , vol.61 , pp. 1032-1047
    • Michielsens, C.1    Mcallister, M.2
  • 83
    • 20144380443 scopus 로고    scopus 로고
    • Biological Oceanography
    • Blackwell, Oxford.
    • MILLER, C. (2004). Biological Oceanography. Blackwell, Oxford.
    • (2004)
    • Miller, C.1
  • 86
    • 80052813451 scopus 로고    scopus 로고
    • Bayesian state-space model of fin whale abundance trends from a 1991-2008 time series of line-transect surveys in the California Current
    • MOORE, J. and BARLOW, J. (2011). Bayesian state-space model of fin whale abundance trends from a 1991-2008 time series of line-transect surveys in the California Current. Journal of Applied Ecology 48 1195-1205.
    • (2011) Journal of Applied Ecology , vol.48 , pp. 1195-1205
    • Moore, J.1    Barlow, J.2
  • 87
    • 84972502492 scopus 로고
    • Report on statistics and physical oceanography
    • NRC
    • NRC (1994). Report on statistics and physical oceanography. Statist. Sci. 9 167-201.
    • (1994) Statist. Sci. , vol.9 , pp. 167-201
  • 88
    • 0030772552 scopus 로고    scopus 로고
    • An inverse model of the eastern North Atlantic general circulation and thermocline ventilation
    • PAILLET, J. and MERCIER, H. (1997). An inverse model of the eastern North Atlantic general circulation and thermocline ventilation. Deep-Sea Res. 44 1293-1328.
    • (1997) Deep-Sea Res. , vol.44 , pp. 1293-1328
    • Paillet, J.1    Mercier, H.2
  • 89
    • 84878935744 scopus 로고    scopus 로고
    • Bayesian learning and predictability in a stochastic nonlinear dynamical model
    • PARSLOW, J., CRESSIE, N., CAMPBELL, E., JONES, E. and MURRAY, L. (2013). Bayesian learning and predictability in a stochastic nonlinear dynamical model. Ecological Applications 23 679-698.
    • (2013) Ecological Applications , vol.23 , pp. 679-698
    • Parslow, J.1    Cressie, N.2    Campbell, E.3    Jones, E.4    Murray, L.5
  • 90
    • 0004032263 scopus 로고    scopus 로고
    • Ocean Circulation Theory
    • Springer, Berlin.
    • PEDLOSKY, J. (1998). Ocean Circulation Theory. Springer, Berlin.
    • (1998)
    • Pedlosky, J.1
  • 91
    • 0027801381 scopus 로고
    • Prediction of Niño 3 sea surface temperatures using linear inverse modeling
    • PENLAND, C. and MAGORIAN, T. (1993). Prediction of Niño 3 sea surface temperatures using linear inverse modeling. Journal of Climate 6 1067-1076.
    • (1993) Journal of Climate , vol.6 , pp. 1067-1076
    • Penland, C.1    Magorian, T.2
  • 92
    • 0042822669 scopus 로고
    • El Niño, La Niña, and the Southern Oscillation 46
    • Academic Press, San Diego, CA.
    • PHILANDER, S. (1990). El Niño, La Niña, and the Southern Oscillation 46. Academic Press, San Diego, CA.
    • (1990)
    • Philander, S.1
  • 94
    • 85040877446 scopus 로고
    • Principal Component Analysis in Meteorology and Oceanography 425
    • Elsevier, New York.
    • PREISENDORFER, R. andMOBLEY, C. (1988). Principal Component Analysis in Meteorology and Oceanography 425. Elsevier, New York.
    • (1988)
    • Preisendorfer, R.1    Mobley, C.2
  • 95
    • 0003919677 scopus 로고    scopus 로고
    • Monte Carlo Statistical Methods, 2nd ed
    • Springer, New York. MR2080278
    • ROBERT, C. P. and CASELLA, G. (2004). Monte Carlo Statistical Methods, 2nd ed. Springer, New York. MR2080278
    • (2004)
    • Robert, C.P.1    Casella, G.2
  • 96
    • 85147634788 scopus 로고    scopus 로고
    • Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
    • Academic Press, San Diego, CA.
    • ROYLE, J. and DORAZIO, R. (2008). Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities. Academic Press, San Diego, CA.
    • (2008)
    • Royle, J.1    Dorazio, R.2
  • 97
    • 59149090770 scopus 로고    scopus 로고
    • A Bayesian model for anchovy (Engraulis encrasicolus): The combined forcing of man and environment
    • RUIZ, J.,GONZÁLEZ-QUIRÓS, R., PRIETO, L. andNAVARRO, G. (2009). A Bayesian model for anchovy (Engraulis encrasicolus): The combined forcing of man and environment. Fisheries Oceanography 18 62-76.
    • (2009) Fisheries Oceanography , vol.18 , pp. 62-76
    • Ruiz, J.1    González-Quirós, R.2    Prieto, L.3    Navarro, G.4
  • 98
    • 84972517827 scopus 로고
    • Design and analysis of computer experiments
    • MR1041765
    • SACKS, J., WELCH, W. J., MITCHELL, T. J. and WYNN, H. P. (1989). Design and analysis of computer experiments. Statist. Sci. 4 409-435. MR1041765
    • (1989) Statist. Sci. , vol.4 , pp. 409-435
    • Sacks, J.1    Welch, W.J.2    Mitchell, T.J.3    Wynn, H.P.4
  • 99
    • 84860333077 scopus 로고    scopus 로고
    • A Bayesian hierarchical model of size-at-age in ocean-harvested stocks-quantifying effects of climate and temporal variability
    • SATTERTHWAITE, W.,& , M., O'FARRELL, M.,WELLS, B. and WALTERS, C. (2012). A Bayesian hierarchical model of size-at-age in ocean-harvested stocks-quantifying effects of climate and temporal variability. Canadian Journal of Fisheries and Aquatic Sciences 69 942-954.
    • (2012) Canadian Journal of Fisheries and Aquatic Sciences , vol.69 , pp. 942-954
    • Satterthwaite, W.1    Mohr, M.2    Ofarrel, M.3    Wells, B.4    Walters, C.5
  • 100
    • 78449259962 scopus 로고    scopus 로고
    • An ensemble Kalman filter and smoother for satellite data assimilation
    • MR2752594
    • STROUD, J. R., STEIN, M. L., LESHT, B. M., SCHWAB, D. J. and BELETSKY, D. (2010). An ensemble Kalman filter and smoother for satellite data assimilation. J. Amer. Statist. Assoc. 105 978-990. MR2752594
    • (2010) J. Amer. Statist. Assoc. , vol.105 , pp. 978-990
    • Stroud, J.R.1    Stein, M.L.2    Lesht, B.M.3    Schwab, D.J.4    Beletsky, D.5
  • 101
    • 0034035880 scopus 로고    scopus 로고
    • Skill comparisons between neural networks and canonical orrelation analysis in predicting the equatorial Pacific sea surface temperatures
    • TANG, B., HSIEH, W.,MONAHAN, A. and TANGANG, F. (2000). Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures. Journal of Climate 13 287-293.
    • (2000) Journal of Climate , vol.13 , pp. 287-293
    • Tang, B.1    Hsieh, W.2    Monahan, A.3    Tangang, F.4
  • 102
    • 0031777214 scopus 로고    scopus 로고
    • Forecasting ENSO events: A neural network-extended EOF approach
    • 29-41
    • TANGANG, F., TANG, B.,MONAHAN, A. and HSIEH, W. (1998). Forecasting ENSO events: A neural network-extended EOF approach. Journal of Climate 11 29-41.
    • (1998) Journal of Climate , vol.11
    • Tangang, F.1    Tang, B.2    Monahan, A.3    Hsieh, W.4
  • 103
    • 85040870662 scopus 로고
    • Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation
    • Elsevier Science Publishers B.V., Amsterdam. MR0930881
    • TARANTOLA, A. (1987). Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation. Elsevier Science Publishers B.V., Amsterdam. MR0930881
    • (1987)
    • Tarantola, A.1
  • 104
    • 57849156930 scopus 로고    scopus 로고
    • Joint projections of temperature and precipitation change from multiple climate models: A hierarchical Bayesian approach
    • MR2655606
    • TEBALDI, C. and SANSÓ, B. (2009). Joint projections of temperature and precipitation change from multiple climate models: A hierarchical Bayesian approach. J. Roy. Statist. Soc. Ser. A 172 83-106. MR2655606
    • (2009) J. Roy. Statist. Soc. Ser. A , vol.172 , pp. 83-106
    • Tebaldi, C.1    SansÓ, B.2
  • 105
    • 14544287376 scopus 로고    scopus 로고
    • Quantifying uncertainty in projections of regional climate change: A Bayesian approach to the analysis of multimodel ensembles
    • TEBALDI, C., SMITH, R., NYCHKA, D. andMEARNS, L. (2005). Quantifying uncertainty in projections of regional climate change: A Bayesian approach to the analysis of multimodel ensembles. Journal of Climate 18 1524-1540.
    • (2005) Journal of Climate , vol.18 , pp. 1524-1540
    • Tebaldi, C.1    Smith, R.2    Nychka, D.3    Mearns, L.4
  • 106
    • 0027011672 scopus 로고
    • A Bayesian approach to management advice when stock-recruitment parameters are uncertain
    • THOMPSON, G. (1992). A Bayesian approach to management advice when stock-recruitment parameters are uncertain. Fishery Bulletin 90 561-573.
    • (1992) Fishery Bulletin , vol.90 , pp. 561-573
    • Thompson, G.1
  • 107
    • 0035358082 scopus 로고    scopus 로고
    • Empirical dynamical system modeling of ENSO using nonlinear inverse techniques
    • TIMMERMANN, A., VOSS, H. and PASMANTER, R. (2001). Empirical dynamical system modeling of ENSO using nonlinear inverse techniques. Journal of Physical Oceanography 31 1579- 1598.
    • (2001) Journal of Physical Oceanography , vol.31
    • Timmermann, A.1    Voss, H.2    Pasmanter, R.3
  • 108
    • 34147166956 scopus 로고    scopus 로고
    • Atmospheric and Oceanic Fluid Dynamics: Fundamentals and Large-Scale Circulation
    • Cambridge Univ. Press, Cambridge.
    • VALLIS, G. (2006). Atmospheric and Oceanic Fluid Dynamics: Fundamentals and Large-Scale Circulation. Cambridge Univ. Press, Cambridge.
    • (2006)
    • Vallis, G.1
  • 109
    • 34249876623 scopus 로고    scopus 로고
    • Fast neural network surrogates for very high dimensional physics-based models in computational oceanography
    • VAN DER MERWE, R., LEEN, T. K., LU, Z., FROLOV, S. and BAPTISTA, A. M. (2007). Fast neural network surrogates for very high dimensional physics-based models in computational oceanography. Neural Netw. 20 462-478.
    • (2007) Neural Netw. , vol.20 , pp. 462-478
    • Van Der Merwe, R.1    Leen, T.K.2    Lu, Z.3    Frolov, S.4    Baptista, A.M.5
  • 110
    • 26844445586 scopus 로고    scopus 로고
    • Did the ECMWF seasonal forecast model outperform statistical ENSO forecast models over the last 15 years?
    • VAN OLDENBORGH, G. J., BALMASEDA, M., FERRANTI, L., STOCKDALE, T. and ANDERSON, D. (2005). Did the ECMWF seasonal forecast model outperform statistical ENSO forecast models over the last 15 years? Journal of Climate 18 3240- 3249.
    • (2005) Journal of Climate , vol.18
    • Van Oldenborgh, G.J.1    Balmaseda, M.2    Ferranti, L.3    Stockdale, T.4    Anderson, D.5
  • 111
    • 35348931531 scopus 로고    scopus 로고
    • Space-time zeroinflated count models of harbor seals
    • MR2408939
    • VER HOEF, J. M. and JANSEN, J. K. (2007). Space-time zeroinflated count models of harbor seals. Environmetrics 18 697- 712. MR2408939
    • (2007) Environmetrics , vol.18
    • Ver Hoef, J.M.1    Jansen, J.K.2
  • 112
    • 0003526952 scopus 로고    scopus 로고
    • Linear Mixed Models for Longitudinal Data
    • Springer, New York. MR2723365
    • VERBEKE, G. and MOLENBERGHS, G. (2009). Linear Mixed Models for Longitudinal Data. Springer, New York. MR2723365
    • (2009)
    • Verbeke, G.1    Molenberghs, G.2
  • 113
    • 0003973340 scopus 로고    scopus 로고
    • Statistical Analysis in Climate Research
    • Cambridge Univ. Press, Cambridge
    • VON STORCH, H. and ZWIERS, F. (2002). Statistical Analysis in Climate Research. Cambridge Univ. Press, Cambridge.
    • (2002)
    • Von Storch, H.1    Zwiers, F.2
  • 114
    • 0033077602 scopus 로고    scopus 로고
    • Convectively coupled equatorial waves: Analysis of clouds and temperature in the wavenumber-frequency domain
    • WHEELER, M. and KILADIS, G. N. (1999). Convectively coupled equatorial waves: Analysis of clouds and temperature in the wavenumber-frequency domain. J. Atmospheric Sci. 56 374- 399.
    • (1999) J. Atmospheric Sci. , vol.56
    • Wheeler, M.1    Kiladis, G.N.2
  • 115
    • 1642304814 scopus 로고    scopus 로고
    • Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model
    • WIKLE, C. andANDERSON, C. (2003). Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model. J. Geophys. Res 108 9005.
    • (2003) J. Geophys. Res , vol.108 , pp. 9005
    • Wikle, C.1    Anderson, C.2
  • 116
    • 34248634615 scopus 로고    scopus 로고
    • A Bayesian tutorial for data assimilation
    • MR2345198
    • WIKLE, C. K. and BERLINER, L. M. (2007). A Bayesian tutorial for data assimilation. Phys. D 230 1-16. MR2345198
    • (2007) Phys. D , vol.230 , pp. 1-16
    • Wikle, C.K.1    Berliner, L.M.2
  • 117
    • 79958187878 scopus 로고    scopus 로고
    • Polynomial nonlinear spatio-temporal integro-difference equation models
    • MR2841788
    • WIKLE, C. K. and HOLAN, S. H. (2011). Polynomial nonlinear spatio-temporal integro-difference equation models. J. Time Series Anal. 32 339-350. MR2841788
    • (2011) J. Time Series Anal. , vol.32 , pp. 339-350
    • Wikle, C.K.1    Holan, S.H.2
  • 118
    • 78449244115 scopus 로고    scopus 로고
    • A general sciencebased framework for dynamical spatio-temporal models
    • MR2745992
    • WIKLE, C. K. and HOOTEN, M. B. (2010). A general sciencebased framework for dynamical spatio-temporal models. TEST 19 417-451. MR2745992
    • (2010) TEST , vol.19 , pp. 417-451
    • Wikle, C.K.1    Hooten, M.B.2
  • 119
    • 0032717391 scopus 로고    scopus 로고
    • Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE
    • WIKLE, C., MILLIFF, R. and LARGE, W. (1999). Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE. J. Atmospheric Sci. 56 2222-2231.
    • (1999) J. Atmospheric Sci. , vol.56 , pp. 2222-2231
    • Wikle, C.1    Milliff, R.2    Large, W.3
  • 120
    • 1542469523 scopus 로고    scopus 로고
    • Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds
    • MR1939342
    • WIKLE, C. K., MILLIFF, R. F., NYCHKA, D. and BERLINER, L. M. (2001). Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds. J. Amer. Statist. Assoc. 96 382-397. MR1939342
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 382-397
    • Wikle, C.K.1    Milliff, R.F.2    Nychka, D.3    Berliner, L.M.4
  • 121
    • 0003632941 scopus 로고    scopus 로고
    • Statistical Methods in the Atmospheric Sciences 100
    • Academic Press, San Diego, CA.
    • WILKS, D. (2011). Statistical Methods in the Atmospheric Sciences 100. Academic Press, San Diego, CA.
    • (2011)
    • Wilks, D.1
  • 122
    • 0028583264 scopus 로고
    • Dynamically consistent hydrography and absolute velocity in the eastern North Atlantic Ocean
    • WUNSCH, C. (1994). Dynamically consistent hydrography and absolute velocity in the eastern North Atlantic Ocean. J. Geophys. Res. 99 14071-14090.
    • (1994) J. Geophys. Res. , vol.99 , pp. 14071-14090
    • Wunsch, C.1
  • 123
    • 0003523745 scopus 로고    scopus 로고
    • The Ocean Circulation Inverse Problem
    • Cambridge Univ. Press, Cambridge. MR1410266
    • WUNSCH, C. (1996). The Ocean Circulation Inverse Problem. Cambridge Univ. Press, Cambridge. MR1410266
    • (1996)
    • Wunsch, C.1
  • 124
    • 0027045953 scopus 로고
    • Circulation and water mass balance in the Brazil Basin
    • ZHANG, H. M. and HOGG, N. (1992). Circulation and water mass balance in the Brazil Basin. J. Mar. Res. 50 385-420.
    • (1992) J. Mar. Res. , vol.50 , pp. 385-420
    • Zhang, H.M.1    Hogg, N.2
  • 125
    • 77953235383 scopus 로고    scopus 로고
    • A tracercontour inverse method for estimating ocean circulation and mixing
    • ZIKA, J., MCDOUGALL, T. and SLOYAN, B. (2010). A tracercontour inverse method for estimating ocean circulation and mixing. J. Phys. Ocean. 40 26-47.
    • (2010) J. Phys. Ocean. , vol.40 , pp. 26-47
    • Zika, J.1    Mcdougall, T.2    Sloyan, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.