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Volumn 64, Issue 5, 2006, Pages 745-758

Estimation of mixed-layer depth from surface parameters

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; MIXED LAYER; MOORING SYSTEM; PARAMETERIZATION; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS;

EID: 33846450716     PISSN: 00222402     EISSN: None     Source Type: Journal    
DOI: 10.1357/002224006779367285     Document Type: Article
Times cited : (27)

References (62)
  • 1
    • 0027834479 scopus 로고
    • Inference of the reversal of mixed layer zonal slope along the Equatorial Indian Ocean using Geosat altimeter data
    • Ali, M. M. 1993. Inference of the reversal of mixed layer zonal slope along the Equatorial Indian Ocean using Geosat altimeter data. Int. J. Remote Sens., 14, 2043-2049.
    • (1993) Int. J. Remote Sens. , vol.14 , pp. 2043-2049
    • Ali, M.M.1
  • 2
    • 0028554409 scopus 로고
    • Estimation of mixed layer depth in the equatorial Indian Ocean using Geosat altimeter data
    • Ali, M. M. and R. Sharma. 1994. Estimation of mixed layer depth in the equatorial Indian Ocean using Geosat altimeter data. Mar. Geo., 17, 63-72.
    • (1994) Mar. Geo. , vol.17 , pp. 63-72
    • Ali, M.M.1    Sharma, R.2
  • 3
    • 3643144314 scopus 로고
    • Inference of vertical motion in the equatorial Indian Ocean using satellite data
    • Ali, M. M., B. Simon and P. S. Desai. 1987. Inference of vertical motion in the equatorial Indian Ocean using satellite data. Oceanologica Acta., 6, 71-76.
    • (1987) Oceanologica Acta. , vol.6 , pp. 71-76
    • Ali, M.M.1    Simon, B.2    Desai, P.S.3
  • 4
    • 11844304934 scopus 로고    scopus 로고
    • Estimation of ocean sub-surface thermal structure from surface parameters: A neural network approach
    • L20308, doi: 10.1029/2004GL021192
    • Ali, M. M., D. Swain and R. Weller. 2004. Estimation of ocean sub-surface thermal structure from surface parameters: A neural network approach. Geophys. Res. Lett., 31, L20308, doi: 10.1029/2004GL021192.
    • (2004) Geophys. Res. Lett. , vol.31
    • Ali, M.M.1    Swain, D.2    Weller, R.3
  • 5
    • 0031214134 scopus 로고    scopus 로고
    • Approximations of functions by a multilayer perceptron: A new approach
    • Attali, J. G. and G. Pagès. 1997. Approximations of functions by a multilayer perceptron: A new approach. Neural Networks, 6, 1069-1081.
    • (1997) Neural Networks , vol.6 , pp. 1069-1081
    • Attali, J.G.1    Pagès, G.2
  • 6
    • 0000752674 scopus 로고
    • Wind ambiguity removal by the use of neural network techniques
    • Badran, F., S. Thiria and M. Crepon. 1991. Wind ambiguity removal by the use of neural network techniques. J. Geophys. Res., 96, 20 521-20 529.
    • (1991) J. Geophys. Res. , vol.96 , pp. 20521-20529
    • Badran, F.1    Thiria, S.2    Crepon, M.3
  • 7
    • 0001435197 scopus 로고
    • On the seasonal changes in the depth of the mixed layer in the North Pacific Ocean
    • Bathen, K. H. 1972. On the seasonal changes in the depth of the mixed layer in the North Pacific Ocean. J. Geophys. Res., 77, 7138-7150.
    • (1972) J. Geophys. Res. , vol.77 , pp. 7138-7150
    • Bathen, K.H.1
  • 9
    • 0043002383 scopus 로고    scopus 로고
    • Evaluation of latent heat flux fields from satellites and models during SEMAPHORE
    • Bourras, D. and W. T. Liu. 2003. Evaluation of latent heat flux fields from satellites and models during SEMAPHORE. J. Appl. Meteorol. 42, 227-239.
    • (2003) J. Appl. Meteorol. , vol.42 , pp. 227-239
    • Bourras, D.1    Liu, W.T.2
  • 10
    • 0000621802 scopus 로고    scopus 로고
    • Multivariable functional interpolation and adaptive networks
    • Broomhead, D. S. and D. Lowe. 1998. Multivariable functional interpolation and adaptive networks. Complex Systems, 2, 321-355.
    • (1998) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 11
    • 0030467801 scopus 로고    scopus 로고
    • Retrieving atmospheric temperature parameters from DMSP SSM/T-1 data with a neural network
    • Butler, C. T., R. V. Meredith and A. P. Stogryn. 1996. Retrieving atmospheric temperature parameters from DMSP SSM/T-1 data with a neural network. J. Geophys. Res., 101, 7075-7083.
    • (1996) J. Geophys. Res. , vol.101 , pp. 7075-7083
    • Butler, C.T.1    Meredith, R.V.2    Stogryn, A.P.3
  • 12
    • 0028608349 scopus 로고
    • The roles of vertical mixing, solar radiation, and wind stress in a model simulation of the sea surface temperature seasonal cycle in the tropical Pacific Ocean
    • Chen, D., A. J. Busalacchi and L. M. Rothstein. 1994a. The roles of vertical mixing, solar radiation, and wind stress in a model simulation of the sea surface temperature seasonal cycle in the tropical Pacific Ocean. J. Geophys. Res., 99, 20345-20359.
    • (1994) J. Geophys. Res. , vol.99 , pp. 20345-20359
    • Chen, D.1    Busalacchi, A.J.2    Rothstein, L.M.3
  • 13
    • 0028583394 scopus 로고
    • A hybrid vertical mixing scheme and its application to tropical ocean models
    • Chen, D., L. M. Rothstein and A. J. Busalacchi. 1994b. A hybrid vertical mixing scheme and its application to tropical ocean models. J. Phys. Oceanog., 24, 2156-2179.
    • (1994) J. Phys. Oceanog. , vol.24 , pp. 2156-2179
    • Chen, D.1    Rothstein, L.M.2    Busalacchi, A.J.3
  • 14
    • 0029341753 scopus 로고
    • Approximation capability to functions of several variables, nonlinear functional and operators by radial basis function neural networks
    • Chen, T. and H. Chen. 1995a. Approximation capability to functions of several variables, nonlinear functional and operators by radial basis function neural networks. Neural Networks, 6, 904-910.
    • (1995) Neural Networks , vol.6 , pp. 904-910
    • Chen, T.1    Chen, H.2
  • 15
    • 0029343809 scopus 로고
    • Universal approximation to nonlinear operators by neural networks with arbitrary activation function and its application to dynamical systems
    • Chen, T. and H. Chen. 1995b. Universal approximation to nonlinear operators by neural networks with arbitrary activation function and its application to dynamical systems. Neural Networks, 6, 911-917.
    • (1995) Neural Networks , vol.6 , pp. 911-917
    • Chen, T.1    Chen, H.2
  • 16
    • 0033232465 scopus 로고    scopus 로고
    • A neural network approach for a fast and accurate computation of longwave radiative budget
    • Chevallier, F., F. Chéruy, N. A. Scott and A. Chédin. 1998. A neural network approach for a fast and accurate computation of longwave radiative budget. J. Appl. Meteor., 37, 1385-1397.
    • (1998) J. Appl. Meteor. , vol.37 , pp. 1385-1397
    • Chevallier, F.1    Chéruy, F.2    Scott, N.A.3    Chédin, A.4
  • 17
    • 0034010152 scopus 로고    scopus 로고
    • Use of a neural-network-based longwave radiative transfer scheme in the EMCWF atmospheric model
    • Chevallier, F., J.-J. Morcrette, F. Chéruy and N. A. Scott. 2000. Use of a neural-network-based longwave radiative transfer scheme in the EMCWF atmospheric model. Quart. J. Roy. Meteor. Soc., 126, 761-776.
    • (2000) Quart. J. Roy. Meteor. Soc. , vol.126 , pp. 761-776
    • Chevallier, F.1    Morcrette, J.-J.2    Chéruy, F.3    Scott, N.A.4
  • 18
    • 0024861871 scopus 로고
    • Approximation by superposition of sigmoidal functions, in mathematics of control
    • Cybenko, G. 1989. Approximation by superposition of sigmoidal functions, in mathematics of control. Signals Syst., 2, 303-314.
    • (1989) Signals Syst. , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 19
    • 0028594236 scopus 로고
    • Prediction of El Niño events in the Pacific by means of neural networks
    • Derr, V. E. and R. J. Slutz. 1994. Prediction of El Niño events in the Pacific by means of neural networks. Al Applic., 8, 51-63.
    • (1994) Al Applic. , vol.8 , pp. 51-63
    • Derr, V.E.1    Slutz, R.J.2
  • 20
    • 0028894241 scopus 로고
    • Variations in the seasonal cycle of biological production in subarctic oceans: A model sensitivity analysis
    • Fasham, M. J. R. 1995. Variations in the seasonal cycle of biological production in subarctic oceans: A model sensitivity analysis. Deep-Sea Res. II, 42, 1111-1149.
    • (1995) Deep-Sea Res. II , vol.42 , pp. 1111-1149
    • Fasham, M.J.R.1
  • 21
    • 0027007868 scopus 로고
    • Rainfall forecasting in space and time using a neural network
    • French, M. N., W. F. Krajewski and R. R. Cuykendall. 1992. Rainfall forecasting in space and time using a neural network. J. Hydrol., 137, 1-31.
    • (1992) J. Hydrol. , vol.137 , pp. 1-31
    • French, M.N.1    Krajewski, W.F.2    Cuykendall, R.R.3
  • 22
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • Funahashi, K. 1989. On the approximate realization of continuous mappings by neural networks. Neural Networks, 2, 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 23
    • 15944378188 scopus 로고    scopus 로고
    • Tests of mixed-layer schemes and surface boundary conditions in an Ocean General Circulation Model, using the IMET flux data set
    • CSIRO Marine Lab. Report (231), Australia
    • Godfrey, J. S. and A. Schiller. 1997. Tests of mixed-layer schemes and surface boundary conditions in an Ocean General Circulation Model, using the IMET flux data set. CSIRO Marine Lab. Report (231), Australia.
    • (1997)
    • Godfrey, J.S.1    Schiller, A.2
  • 26
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feed-forward network
    • Hornik, K. 1991. Approximation capabilities of multilayer feed-forward network. Neural Networks, 4, 251-257.
    • (1991) Neural Networks , vol.4 , pp. 251-257
    • Hornik, K.1
  • 27
    • 0032466364 scopus 로고    scopus 로고
    • Applying neural network models to prediction and data analysis in meteorology and oceanography
    • Hsieh, W. W. and B. Tang. 1998. Applying neural network models to prediction and data analysis in meteorology and oceanography. Bull. Amer. Meteor. Soc., 79, 1855-1870.
    • (1998) Bull. Amer. Meteor. Soc. , vol.79 , pp. 1855-1870
    • Hsieh, W.W.1    Tang, B.2
  • 28
    • 0033665025 scopus 로고    scopus 로고
    • An optimal definition for ocean mixed layer depth
    • Kara, A. B., P. A. Rochford and H. E. Hurlburt. 2000. An optimal definition for ocean mixed layer depth. J. Geophys. Res., 105 (C7), 16803-16821.
    • (2000) J. Geophys. Res. , vol.105 , Issue.C7 , pp. 16803-16821
    • Kara, A.B.1    Rochford, P.A.2    Hurlburt, H.E.3
  • 29
    • 0142123988 scopus 로고    scopus 로고
    • Mixed layer depth variability over the global ocean
    • doi: 10.1029/2000JC000736
    • Kara, A. B., P. A. Rochford and H. E. Hurlburt. 2003. Mixed layer depth variability over the global ocean. J. Geophys. Res., 108 (C3), 3079, doi: 10.1029/2000JC000736.
    • (2003) J. Geophys. Res. , vol.108 , Issue.C3 , pp. 3079
    • Kara, A.B.1    Rochford, P.A.2    Hurlburt, H.E.3
  • 30
    • 16244391596 scopus 로고    scopus 로고
    • A neural network forward model for direct assimilation of SSM/I brightness temperatures into atmospheric models
    • CAS/JSC Working Group on Numerical Experimentation, Rep. 25, WMO Tech. Doc
    • Krasnopolsky, V. 1997. A neural network forward model for direct assimilation of SSM/I brightness temperatures into atmospheric models. Research Activities in Atmospheric and Oceanic Modeling, CAS/JSC Working Group on Numerical Experimentation, Rep. 25, WMO Tech. Doc. 792, 1.29-1.30.
    • (1997) Research Activities in Atmospheric and Oceanic Modeling , vol.792
    • Krasnopolsky, V.1
  • 31
    • 0029472420 scopus 로고
    • A neural network as a nonlinear transfer function model for retrieving surface wind speeds from the Special Sensor Microwave Imager
    • Krasnopolsky, V., L. C. Breaker and W. H. Gemmill. 1995. A neural network as a nonlinear transfer function model for retrieving surface wind speeds from the Special Sensor Microwave Imager. J. Geophys. Res., 100, 11 033-11 045.
    • (1995) J. Geophys. Res. , vol.100 , pp. 11033-11045
    • Krasnopolsky, V.1    Breaker, L.C.2    Gemmill, W.H.3
  • 32
    • 0036373412 scopus 로고    scopus 로고
    • A neural network technique to improve computational efficiency of numerical oceanic models
    • Krasnopolsky, V., D. V. Chalikov and H. L. Tolman. 2002. A neural network technique to improve computational efficiency of numerical oceanic models. Ocean Model, 4, 363-383.
    • (2002) Ocean Model , vol.4 , pp. 363-383
    • Krasnopolsky, V.1    Chalikov, D.V.2    Tolman, H.L.3
  • 33
    • 20444431930 scopus 로고    scopus 로고
    • New approach to calculation of atmospheric model Physics: Accurate and fast neural network emulation of longwave radiation in a climate model
    • Krasnopolsky, V. M., M. S. Fox-Rabinovitz and D. V. Chalikov. 2005. New approach to calculation of atmospheric model Physics: Accurate and fast neural network emulation of longwave radiation in a climate model. Mon. Weath. Rev., 133, 1370-1383.
    • (2005) Mon. Weath. Rev. , vol.133 , pp. 1370-1383
    • Krasnopolsky, V.M.1    Fox-Rabinovitz, M.S.2    Chalikov, D.V.3
  • 34
    • 0037381085 scopus 로고    scopus 로고
    • Some neural network applications in environmental sciences part I: Forward and inverse problems in satellite remote sensing
    • Krasnopolsky, V. and H. Schiller. 2003. Some neural network applications in environmental sciences part I: Forward and inverse problems in satellite remote sensing. Neural Networks, 16, 321-334.
    • (2003) Neural Networks , vol.16 , pp. 321-334
    • Krasnopolsky, V.1    Schiller, H.2
  • 35
    • 0003603718 scopus 로고
    • Climatological atlas of the world ocean
    • NOAA Prof. Pap. 13, U.S. Govt. Printing Off., Washington, D.C
    • Levitus, S. 1982. Climatological atlas of the world ocean. NOAA Prof. Pap. 13, U.S. Govt. Printing Off., Washington, D.C., 173 pp.
    • (1982) , pp. 173
    • Levitus, S.1
  • 36
    • 0025656954 scopus 로고
    • Influence of penetrating solar radiation on the heat budget of the equatorial Pacitic Ocean
    • Lewis, M. R., M. Carr, G. Feldman, W. Esaias and C. McClain. 1990. Influence of penetrating solar radiation on the heat budget of the equatorial Pacitic Ocean. Nature, 347, 543-544.
    • (1990) Nature , vol.347 , pp. 543-544
    • Lewis, M.R.1    Carr, M.2    Feldman, G.3    Esaias, W.4    McClain, C.5
  • 37
    • 0031438596 scopus 로고    scopus 로고
    • Estimating longwave net radiation at sea surface from the Special Sensor Microwave/Imager (SSM/I)
    • Liu, Q. H., C. Simmer and E. Ruprecht. 1997. Estimating longwave net radiation at sea surface from the Special Sensor Microwave/Imager (SSM/ I). J. Appl. Meteor., 36, 919-930.
    • (1997) J. Appl. Meteor. , vol.36 , pp. 919-930
    • Liu, Q.H.1    Simmer, C.2    Ruprecht, E.3
  • 38
    • 0000227467 scopus 로고
    • The mixed layer of the western equatorial Pacific Ocean
    • Lukas, R. and E. Lindstrom. 1991. The mixed layer of the western equatorial Pacific Ocean. J. Geophys. Res., 96, 3343-3357.
    • (1991) J. Geophys. Res. , vol.96 , pp. 3343-3357
    • Lukas, R.1    Lindstrom, E.2
  • 39
    • 4544314347 scopus 로고    scopus 로고
    • Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia
    • doi: 10.1016/j.ecss.2004.06.004
    • Makarynskyy, O., D. Makarynska, M. Kuhn and W. E. Featherstone. 2004. Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia. Estuar. Coastal Shelf Sci. 61, 351-360, doi: 10.1016/j.ecss.2004.06.004.
    • (2004) Estuar. Coastal Shelf Sci. , vol.61 , pp. 351-360
    • Makarynskyy, O.1    Makarynska, D.2    Kuhn, M.3    Featherstone, W.E.4
  • 40
    • 0034466364 scopus 로고    scopus 로고
    • Influence of large-scale initial oceanic mixed layer depth on tropical cyclones
    • Mao, Q., S. W. Chang and R. L. Pfeffer. 2000. Influence of large-scale initial oceanic mixed layer depth on tropical cyclones. Mon. Weather Rev., 128, 4058-4090.
    • (2000) Mon. Weather Rev. , vol.128 , pp. 4058-4090
    • Mao, Q.1    Chang, S.W.2    Pfeffer, R.L.3
  • 42
    • 14744282230 scopus 로고    scopus 로고
    • Mixed layer depth over the global ocean: An examination of profile data and a profile-based climatology
    • C12003, doi: 10.1029/2004JC002378
    • Montégut, C. de B., G. Madec, A. S. Fischer, A. Lazar and D. Iudicone. 2004. Mixed layer depth over the global ocean: An examination of profile data and a profile-based climatology. J. Geophys. Res., 109, C12003, doi: 10.1029/2004JC002378.
    • (2004) J. Geophys. Res. , vol.109
    • de Montégut, C.B.1    Madec, G.2    Fischer, A.S.3    Lazar, A.4    Iudicone, D.5
  • 43
    • 0003966725 scopus 로고    scopus 로고
    • Seasonal variability of mixed layer depth of the world ocean
    • NOAA Atlas, NESDIS 14, Washington D.C
    • Monterey, G. and S. Levitus. 1997. Seasonal variability of mixed layer depth of the world ocean. NOAA Atlas, NESDIS 14, Washington D.C.
    • (1997)
    • Monterey, G.1    Levitus, S.2
  • 44
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody, J. and C. J. Darkin. 1989. Fast learning in networks of locally-tuned processing units. Neural Comp., 1, 281-294.
    • (1989) Neural Comp. , vol.1 , pp. 281-294
    • Moody, J.1    Darkin, C.J.2
  • 45
    • 0003123703 scopus 로고
    • One-dimensional models of the upper ocean
    • in E. B. Kraus, ed., Pergamon Press., Tarrytown, NY
    • Niiler, P. P. and E. B. Kraus. 1977. One-dimensional models of the upper ocean, in Modeling and Prediction of the Upper Layers of the Ocean., E. B. Kraus, ed., Pergamon Press., Tarrytown, NY, 143-172.
    • (1977) Modeling and Prediction of the Upper Layers of the Ocean , pp. 143-172
    • Niiler, P.P.1    Kraus, E.B.2
  • 46
    • 0030515283 scopus 로고    scopus 로고
    • Global verification of critical depth theory for phytoplankton bloom with climatological in situ temperature and satellite ocean color data
    • Obata, A., J. J. Ishizaka and M. Endoh. 1996. Global verification of critical depth theory for phytoplankton bloom with climatological in situ temperature and satellite ocean color data. J. Geophys. Res., 101, 20657-20667.
    • (1996) J. Geophys. Res. , vol.101 , pp. 20657-20667
    • Obata, A.1    Ishizaka, J.J.2    Endoh, M.3
  • 47
    • 52849139785 scopus 로고    scopus 로고
    • Sea-surface temperature and isotopic reconstructions from nannoplankton data using artificial neural networks
    • Pozzi, M., B. A. Malmgren and S. Monechi. 2000. Sea-surface temperature and isotopic reconstructions from nannoplankton data using artificial neural networks. Palaeontologia Electronica, 3, 4-14.
    • (2000) Palaeontologia Electronica , vol.3 , pp. 4-14
    • Pozzi, M.1    Malmgren, B.A.2    Monechi, S.3
  • 48
    • 0000094256 scopus 로고
    • Diurnal cycling: Observations and models of upper ocean response to diurnal heating, cooling and wind mixing
    • Price, J., R. Weller and R. Pinkel. 1986. Diurnal cycling: observations and models of upper ocean response to diurnal heating, cooling and wind mixing. J. Geophys. Res., 91, 8411-8427.
    • (1986) J. Geophys. Res. , vol.91 , pp. 8411-8427
    • Price, J.1    Weller, R.2    Pinkel, R.3
  • 49
    • 0000267955 scopus 로고
    • Cooling and deepening of the mixed layer in the central Arabian Sea during MONSOON-77: Observations and Simulations
    • Rao, R. R. 1986. Cooling and deepening of the mixed layer in the central Arabian Sea during MONSOON-77: Observations and Simulations. Deep-Sea Res. A, 33, 1413-1424.
    • (1986) Deep-Sea Res. A , vol.33 , pp. 1413-1424
    • Rao, R.R.1
  • 50
    • 0003493008 scopus 로고
    • Surface meteorological and near surface oceanographic atlas of the tropical Indian Ocean
    • NOM Technical Memorandum. ERL AOMI-69, Miami
    • Rao, R. R., R. L. Molinari and J. F. Festa. 1991. Surface meteorological and near surface oceanographic atlas of the tropical Indian Ocean. NOM Technical Memorandum. ERL AOMI-69, Miami.
    • (1991)
    • Rao, R.R.1    Molinari, R.L.2    Festa, J.F.3
  • 51
    • 0028794143 scopus 로고
    • The diurnal mixed layer and upper ocean heat budget in the western equatorial Pacific
    • Richards, K. J., M. E. Inall and N. C. Wells. 1995. The diurnal mixed layer and upper ocean heat budget in the western equatorial Pacific. J. Geophys. Res., 100, 6865-6879.
    • (1995) J. Geophys. Res. , vol.100 , pp. 6865-6879
    • Richards, K.J.1    Inall, M.E.2    Wells, N.C.3
  • 56
    • 33745858222 scopus 로고    scopus 로고
    • Artificial neural network based atmospheric correction algorithm: Application to MERIS data
    • Hangzhou, China
    • Schroder Th., J., Fischer, M., Schaale, and F. Fell. 2002. Artificial neural network based atmospheric correction algorithm: Application to MERIS data, Proc. Int. Soc. Opt. Eng. (SPIE), 4892, Hangzhou, China.
    • (2002) Proc. Int. Soc. Opt. Eng. (SPIE) , pp. 4892
    • Schroder, Th.1    Fischer, J.2    Schaale, M.3    Fell, F.4
  • 57
    • 1842729400 scopus 로고    scopus 로고
    • Artificial Neural Network Approach for Estimation of Surface Specific Humidity and Air Temperature using Multifrequency Scanning Microwave Radiometer
    • Singh, R., B. G. Vasudevan, P. K. Pal and P. C. Joshi. 2004. Artificial Neural Network Approach for Estimation of Surface Specific Humidity and Air Temperature using Multifrequency Scanning Microwave Radiometer. Proc. Indian Acad. Sci. (Earth Planet. Sci.), 113, 1, 89-101.
    • (2004) Proc. Indian Acad. Sci. (Earth Planet. Sci.) , vol.113 , Issue.1 , pp. 89-101
    • Singh, R.1    Vasudevan, B.G.2    Pal, P.K.3    Joshi, P.C.4
  • 59
    • 0032522032 scopus 로고    scopus 로고
    • Forecasting the regional sea surface temperatures of the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors
    • Tangang, F. T., W. W. Hsieh, and B. Tang. 1998. Forecasting the regional sea surface temperatures of the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors. J. Geophys. Res., 103, 7511-7522.
    • (1998) J. Geophys. Res. , vol.103 , pp. 7511-7522
    • Tangang, F.T.1    Hsieh, W.W.2    Tang, B.3
  • 60
    • 0042945640 scopus 로고    scopus 로고
    • Estimating mixed layer depth from oceanic profile data
    • Thomson, R. E. and I. V. Fine. 2003. Estimating mixed layer depth from oceanic profile data. J. Atmos. Oceanic Technol., 20, 319-329.
    • (2003) J. Atmos. Oceanic Technol. , vol.20 , pp. 319-329
    • Thomson, R.E.1    Fine, I.V.2
  • 61
    • 6444229603 scopus 로고    scopus 로고
    • Neural network approximations for nonlinear interactions in wind wave spectra: Direct mapping for wind seas in deep water
    • Tolman, H. L., V. M. Krasnopolsky, and D. V. Chalikov. 2005. Neural network approximations for nonlinear interactions in wind wave spectra: Direct mapping for wind seas in deep water. Ocean Model., 8, 253-278.
    • (2005) Ocean Model. , vol.8 , pp. 253-278
    • Tolman, H.L.1    Krasnopolsky, V.M.2    Chalikov, D.V.3
  • 62
    • 0032446758 scopus 로고    scopus 로고
    • Atmospheric forcing in the Arabian Sea during 1994-1995: Observations and comparisons with climatology and models
    • Weller, R. A., M. F. Baumgartner, S. A. Josey, A. S. Fischer and J. C. Kindle. 1999. Atmospheric forcing in the Arabian Sea during 1994-1995: Observations and comparisons with climatology and models. Deep-Sea Res. II, 45, 1961-1999.
    • (1999) Deep-Sea Res. II , vol.45 , pp. 1961-1999
    • Weller, R.A.1    Baumgartner, M.F.2    Josey, S.A.3    Fischer, A.S.4    Kindle, J.C.5


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