메뉴 건너뛰기




Volumn 136, Issue 10, 2008, Pages 3683-3695

Decadal climate simulations using accurate and fast neural network emulation of full, longwave and shortwave, radiation

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE STORAGE; CAMS; IMAGE CLASSIFICATION; NEURAL NETWORKS; RADIATION; WEATHER FORECASTING;

EID: 57149141677     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008MWR2385.1     Document Type: Article
Times cited : (33)

References (25)
  • 2
    • 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
  • 3
    • 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
  • 4
    • 0035515167 scopus 로고    scopus 로고
    • Parameterization of generalized cloud overlap for radiative calculations in general circulation models
    • Collins, W. D., 2001: Parameterization of generalized cloud overlap for radiative calculations in general circulation models. J. Atmos. Sci., 58, 3224-3242.
    • (2001) J. Atmos. Sci , vol.58 , pp. 3224-3242
    • Collins, W.D.1
  • 5
    • 36448991936 scopus 로고    scopus 로고
    • An updated parameterization for infrared emission and absorption by water vapor in the National Center for Atmospheric Research Community Atmosphere Model
    • doi:10.1029/2001JD001365
    • Collins, W. D., J. K. Hackney, and D. P. Edwards, 2002: An updated parameterization for infrared emission and absorption by water vapor in the National Center for Atmospheric Research Community Atmosphere Model. J. Geophys. Res., 107, 4664, doi:10.1029/2001JD001365.
    • (2002) J. Geophys. Res , vol.107 , pp. 4664
    • Collins, W.D.1    Hackney, J.K.2    Edwards, D.P.3
  • 6
    • 36448971387 scopus 로고    scopus 로고
    • Ensemble of neural network emulations for climate model physics: The impact on climate simulations
    • Vancouver, BC, Canada, IEEE
    • Fox-Rabinovitz, M. S., V. Krasnopolsky, and A. Belochitski, 2006: Ensemble of neural network emulations for climate model physics: The impact on climate simulations. Proc. 2006 Int. Joint Conf. on Neural Networks, Vancouver, BC, Canada, IEEE, 9321-9326.
    • (2006) Proc. 2006 Int. Joint Conf. on Neural Networks , pp. 9321-9326
    • Fox-Rabinovitz, M.S.1    Krasnopolsky, V.2    Belochitski, A.3
  • 7
    • 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
  • 8
    • 0002642530 scopus 로고    scopus 로고
    • An overview of the results of the Atmospheric Model Intercomparison Project (AMIP I)
    • Gates, W. L., and Coauthors, 1999: An overview of the results of the Atmospheric Model Intercomparison Project (AMIP I). Bull. Amer. Meteor. Soc., 80, 29-55.
    • (1999) Bull. Amer. Meteor. Soc , vol.80 , pp. 29-55
    • Gates, W.L.1
  • 9
    • 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
  • 10
    • 0029768948 scopus 로고    scopus 로고
    • The NCEP/NCAR 40-Year Reanalysis Project
    • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
    • (1996) Bull. Amer. Meteor. Soc , vol.77 , pp. 437-471
    • Kalnay, E.1
  • 11
    • 0042092646 scopus 로고    scopus 로고
    • The NCEP-NCAR 50-Year Reanalysis: Monthly means CD-ROM and documentation
    • Kistler, R., and Coauthors, 2001: The NCEP-NCAR 50-Year Reanalysis: Monthly means CD-ROM and documentation. Bull. Amer. Meteor. Soc., 82, 247-267.
    • (2001) Bull. Amer. Meteor. Soc , vol.82 , pp. 247-267
    • Kistler, R.1
  • 13
    • 36448974183 scopus 로고    scopus 로고
    • Neural network emulations for complex multidimensional geophysical mappings: Applications of neural network techniques to atmospheric and oceanic satellite retrievals and numerical modeling
    • doi:10.1029/ 2006RG000200
    • Krasnopolsky, V. M., 2007a: Neural network emulations for complex multidimensional geophysical mappings: Applications of neural network techniques to atmospheric and oceanic satellite retrievals and numerical modeling. Rev. Geophys., 45, RG3009, doi:10.1029/ 2006RG000200.
    • (2007) Rev. Geophys , vol.45
    • Krasnopolsky, V.M.1
  • 14
    • 34249865363 scopus 로고    scopus 로고
    • Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches
    • Krasnopolsky, V. M., 2007b: Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. Neural Networks, 20, 454-461.
    • (2007) Neural Networks , vol.20 , pp. 454-461
    • Krasnopolsky, V.M.1
  • 15
    • 0037381085 scopus 로고    scopus 로고
    • Some neural network applications in environmental sciences. Part I: Forward and inverse problems in satellite remote sensing
    • Krasnopolsky, V. M., 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.M.1    Schiller, H.2
  • 16
    • 28444490281 scopus 로고    scopus 로고
    • A new synergetic paradigm in environmental numerical modeling: Hybrid models combining deterministic and machine learning components
    • Krasnopolsky, V. M., and M. S. Fox-Rabinovitz, 2006a: A new synergetic paradigm in environmental numerical modeling: Hybrid models combining deterministic and machine learning components. Ecol. Modell, 191, 5-18.
    • (2006) Ecol. Modell , vol.191 , pp. 5-18
    • Krasnopolsky, V.M.1    Fox-Rabinovitz, M.S.2
  • 17
    • 33645994778 scopus 로고    scopus 로고
    • Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction
    • Krasnopolsky, V. M., and M. S. Fox-Rabinovitz, 2006b: Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. Neural Networks, 19, 122-134.
    • (2006) Neural Networks , vol.19 , pp. 122-134
    • Krasnopolsky, V.M.1    Fox-Rabinovitz, M.S.2
  • 18
    • 0036373412 scopus 로고    scopus 로고
    • A neural network technique to improve computational efficiency of numerical oceanic models
    • Krasnopolsky, V. M., D. V. Chalikov, and H. L. Tolman, 2002: A neural network technique to improve computational efficiency of numerical oceanic models. Ocean Modell., 4, 363-383.
    • (2002) Ocean Modell , vol.4 , pp. 363-383
    • Krasnopolsky, V.M.1    Chalikov, D.V.2    Tolman, H.L.3
  • 19
    • 20444431930 scopus 로고    scopus 로고
    • Fast and accurate neural network approximation of longwave radiation in a climate model
    • Krasnopolsky, V. M., M. S. Fox-Rabinovitz, and D. V. Chalikov, 2005: Fast and accurate neural network approximation of longwave radiation in a climate model. Mon. Wea. Rev., 133, 1370-1383.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 1370-1383
    • Krasnopolsky, V.M.1    Fox-Rabinovitz, M.S.2    Chalikov, D.V.3
  • 20
    • 57149131454 scopus 로고    scopus 로고
    • Krasnopolsky, V. M., M. S. Fox-Rabinovitz, Y. T. Hou, S. J. Lord, and A. A. Belochitski, 2008a: accurate and fast neural network emulations of longwave radiation for the NCEP Climate Forecast System Model. Preprints, 20th Conf. on Climate Variability and Change, New Orleans, LA, Amer. Meteor. Soc., P3.10.
    • Krasnopolsky, V. M., M. S. Fox-Rabinovitz, Y. T. Hou, S. J. Lord, and A. A. Belochitski, 2008a: accurate and fast neural network emulations of longwave radiation for the NCEP Climate Forecast System Model. Preprints, 20th Conf. on Climate Variability and Change, New Orleans, LA, Amer. Meteor. Soc., P3.10.
  • 21
    • 40649127675 scopus 로고    scopus 로고
    • Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors
    • doi:10.1016/ j.neunet.2007.12.019
    • Krasnopolsky, V. M., M. S. Fox-Rabinovitz, H. L. Tolman, and A. A. Belochitski, 2008b: Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. Neural Networks, 21, 535-543, doi:10.1016/ j.neunet.2007.12.019.
    • (2008) Neural Networks , vol.21 , pp. 535-543
    • Krasnopolsky, V.M.1    Fox-Rabinovitz, M.S.2    Tolman, H.L.3    Belochitski, A.A.4
  • 22
    • 0025587429 scopus 로고
    • Mean seasonal and spatial variability in global surface air temperature
    • Legates, D. R., and C. J. Willmott, 1990: Mean seasonal and spatial variability in global surface air temperature. Theor. Appl. Climatol., 41, 11-21.
    • (1990) Theor. Appl. Climatol , vol.41 , pp. 11-21
    • Legates, D.R.1    Willmott, C.J.2
  • 25
    • 0031403103 scopus 로고    scopus 로고
    • Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs
    • Xie, P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539-2558.
    • (1997) Bull. Amer. Meteor. Soc , vol.78 , pp. 2539-2558
    • Xie, P.1    Arkin, P.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.