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Volumn 13, Issue 4, 1998, Pages 1194-1204

Localized precipitation forecasts from a numerical weather prediction model using artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; NEURAL NETWORKS; PRECIPITATION (METEOROLOGY);

EID: 0032434569     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(1998)013<1194:LPFFAN>2.0.CO;2     Document Type: Article
Times cited : (138)

References (20)
  • 1
    • 0029527616 scopus 로고
    • Modeling and forecasting the daily maximum temperature using abductive machine learning
    • Abdel-Aal, R. E., and M. A. Elhadidy, 1995: Modeling and forecasting the daily maximum temperature using abductive machine learning. Wea. Forecasting, 10, 310-325.
    • (1995) Wea. Forecasting , vol.10 , pp. 310-325
    • Abdel-Aal, R.E.1    Elhadidy, M.A.2
  • 2
    • 84972539015 scopus 로고
    • Neural networks: A review from a statistical perspective
    • Cheng, B., and D. M. Titterington, 1994: Neural networks: A review from a statistical perspective. Stat. Sci., 8, 2-54.
    • (1994) Stat. Sci. , vol.8 , pp. 2-54
    • Cheng, B.1    Titterington, D.M.2
  • 3
    • 0028869242 scopus 로고
    • Using a self-learning algorithm for single-station quantitative precipitation forecasting in Germany
    • Dumais, R. E., and K. C. Young, 1995: Using a self-learning algorithm for single-station quantitative precipitation forecasting in Germany. Wea. Forecasting, 10, 105-113.
    • (1995) Wea. Forecasting , vol.10 , pp. 105-113
    • Dumais, R.E.1    Young, K.C.2
  • 4
    • 0028576687 scopus 로고
    • Assessing forecast skill through cross validation
    • Elsner, J. B., and C. P. Schmertmann, 1994: Assessing forecast skill through cross validation. Wea. Forecasting, 9, 619-624.
    • (1994) Wea. Forecasting , vol.9 , pp. 619-624
    • Elsner, J.B.1    Schmertmann, C.P.2
  • 5
    • 0000152448 scopus 로고
    • Forecasting with neural networks: An application using bankruptcy data
    • Fletcher, D., and E. Goss, 1993: Forecasting with neural networks: An application using bankruptcy data. Inf. Manage., 24, 159-167.
    • (1993) Inf. Manage. , vol.24 , pp. 159-167
    • Fletcher, D.1    Goss, E.2
  • 6
    • 3643080043 scopus 로고
    • Artificial Intelligence Needs Workshop: 4-5 November 1993, Boston, Massachusetts
    • Frankel, D. S., J. S. Draper, J. E. Peak, and J. C. McLeod, 1995: Artificial Intelligence Needs Workshop: 4-5 November 1993, Boston, Massachusetts. Bull. Amer. Meteor. Soc., 76, 728-738.
    • (1995) Bull. Amer. Meteor. Soc. , vol.76 , pp. 728-738
    • Frankel, D.S.1    Draper, J.S.2    Peak, J.E.3    McLeod, J.C.4
  • 7
    • 0001401572 scopus 로고    scopus 로고
    • Quantitative precipitation forecasting: Report of the Eighth Prospectus Development Team, U.S. Weather Research Program
    • Fritsch, J. M., and Coauthors, 1998: Quantitative precipitation forecasting: Report of the Eighth Prospectus Development Team, U.S. Weather Research Program. Bull. Amer. Meteor. Soc., 79, 285-299.
    • (1998) Bull. Amer. Meteor. Soc. , vol.79 , pp. 285-299
    • Fritsch, J.M.1    Coauthors2
  • 8
    • 0001737050 scopus 로고
    • The use of Model Output Statistics (MOS) in objective weather forecasting
    • Glahn, H. R., and D. L. Lowry, 1972: The use of Model Output Statistics (MOS) in objective weather forecasting. J. Appl. Meteor., 11, 1203-1211.
    • (1972) J. Appl. Meteor. , vol.11 , pp. 1203-1211
    • Glahn, H.R.1    Lowry, D.L.2
  • 11
    • 0000632352 scopus 로고    scopus 로고
    • Experiments in short-term precipitation forecasting using artificial neural networks
    • _, and A. P. Barros, 1998: Experiments in short-term precipitation forecasting using artificial neural networks. Mon. Wea. Rev., 126, 470-482.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 470-482
    • Barros, A.P.1
  • 12
    • 2142758965 scopus 로고
    • A neural network for forecasting heavy precipitation
    • Preprints, Vienna, VA, Amer. Meteor. Soc.
    • Lindner, A. J., and A. S. Krein, 1993: A neural network for forecasting heavy precipitation. Preprints, 13th Conf. on Weather Analysis and Forecasting, Vienna, VA, Amer. Meteor. Soc., 612-615.
    • (1993) 13th Conf. on Weather Analysis and Forecasting , pp. 612-615
    • Lindner, A.J.1    Krein, A.S.2
  • 13
    • 0001712213 scopus 로고    scopus 로고
    • A neural network for tornado prediction based on Doppler radar-derived attributes
    • Marzban, C., and G. J. Stumpf, 1996: A neural network for tornado prediction based on Doppler radar-derived attributes J. Appl. Meteor., 35, 617-626.
    • (1996) J. Appl. Meteor. , vol.35 , pp. 617-626
    • Marzban, C.1    Stumpf, G.J.2
  • 14
    • 0000954408 scopus 로고
    • A neural network short-term forecast of significant thunderstorms
    • McCann, D. W., 1992: A neural network short-term forecast of significant thunderstorms. Wea. Forecasting, 7, 525-534.
    • (1992) Wea. Forecasting , vol.7 , pp. 525-534
    • McCann, D.W.1
  • 15
    • 0001495043 scopus 로고
    • Cross-validation in statistical climate forecast models
    • Michaelsen, J., 1987: Cross-validation in statistical climate forecast models. J. Climate. Appl. Meteor., 26, 1589-1600.
    • (1987) J. Climate. Appl. Meteor. , vol.26 , pp. 1589-1600
    • Michaelsen, J.1
  • 16
    • 0028584611 scopus 로고
    • Predicting Indian monsoon rainfall: A neural network approach
    • Navone, H. D., and H. A. Ceccatto, 1994: Predicting Indian monsoon rainfall: A neural network approach. Climate Dyn., 10, 305-312.
    • (1994) Climate Dyn. , vol.10 , pp. 305-312
    • Navone, H.D.1    Ceccatto, H.A.2
  • 17
    • 0029538471 scopus 로고
    • Evaluation of 33 years of quantitative precipitation forecasting at the NMC
    • Olson, D. A., N. W. Junker, and B. Korty, 1995: Evaluation of 33 years of quantitative precipitation forecasting at the NMC. Wea. Forecasting, 10, 498-511.
    • (1995) Wea. Forecasting , vol.10 , pp. 498-511
    • Olson, D.A.1    Junker, N.W.2    Korty, B.3
  • 18
    • 0000696616 scopus 로고
    • Neural networks and related methods for classification
    • Ripley, B. D., 1994: Neural networks and related methods for classification. J. Roy. Stat. Soc., 56, 409-456.
    • (1994) J. Roy. Stat. Soc. , vol.56 , pp. 409-456
    • Ripley, B.D.1
  • 19
    • 0029431587 scopus 로고
    • Generalized additive models versus linear regression in generating probabilistic MOS forecasts of aviation weather parameters
    • Vislocky, R. L., and J. M. Fritsch, 1995a: Generalized additive models versus linear regression in generating probabilistic MOS forecasts of aviation weather parameters. Wea. Forecasting, 10, 669-680.
    • (1995) Wea. Forecasting , vol.10 , pp. 669-680
    • Vislocky, R.L.1    Fritsch, J.M.2
  • 20
    • 0029510470 scopus 로고
    • Improved Model Output Statistics forecasts through model consensus
    • _, and _, 1995b: Improved Model Output Statistics forecasts through model consensus. Bull. Amer. Meteor. Soc., 76, 1157-1164.
    • (1995) Bull. Amer. Meteor. Soc. , vol.76 , pp. 1157-1164


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