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Volumn 18, Issue 5, 2003, Pages 769-781

MOS-based precipitation forecasts for river basins

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; ERROR ANALYSIS; MATHEMATICAL MODELS; PRECIPITATION (METEOROLOGY); REGRESSION ANALYSIS; RIVERS; STATISTICAL METHODS;

EID: 0345330056     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(2003)018<0769:MPFFRB>2.0.CO;2     Document Type: Article
Times cited : (25)

References (21)
  • 1
    • 0034694811 scopus 로고    scopus 로고
    • An overview of the National Weather Service's centralized statistical quantitative precipitation forecasts
    • Antolik, M. S., 2000: An overview of the National Weather Service's centralized statistical quantitative precipitation forecasts. J. Hydrol. 239, 306-337.
    • (2000) J. Hydrol. , vol.239 , pp. 306-337
    • Antolik, M.S.1
  • 2
    • 0033079599 scopus 로고    scopus 로고
    • An operational model for forecasting probability of precipitation and yes-no forecast
    • Ashok, K., M. Parvinder, and V. Singh, 1999: An operational model for forecasting probability of precipitation and yes-no forecast. Wea. Forecasting, 14, 39-48.
    • (1999) Wea. Forecasting , vol.14 , pp. 39-48
    • Ashok, K.1    Parvinder, M.2    Singh, V.3
  • 4
    • 0033117880 scopus 로고    scopus 로고
    • Probabilistic predictions of precipitation using the ECMWF ensemble prediction system
    • Buizza, R., A. Hollongsworth, F. Lalaurette, and A. Ghelli, 1999: Probabilistic predictions of precipitation using the ECMWF ensemble prediction system. Wea. Forecasting. 14, 168-189.
    • (1999) Wea. Forecasting , vol.14 , pp. 168-189
    • Buizza, R.1    Hollongsworth, A.2    Lalaurette, F.3    Ghelli, A.4
  • 5
    • 0010428504 scopus 로고
    • Moving towards a more responsive statistical guidance system
    • Preprints, Kansas City. MO. Amer. Meteor. Soc
    • Carter, G. M., 1986: Moving towards a more responsive statistical guidance system. Preprints, 11th Conf. on Weather Forecasting and Analysis. Kansas City. MO. Amer. Meteor. Soc., 39-45.
    • (1986) 11th Conf. on Weather Forecasting and Analysis , pp. 39-45
    • Carter, G.M.1
  • 6
    • 0032432694 scopus 로고    scopus 로고
    • The LAMP QPF product. Part I: Model development
    • Charba, J. P., 1998: The LAMP QPF product. Part I: Model development. Wea. Forecasting, 13, 934-965.
    • (1998) Wea. Forecasting , vol.13 , pp. 934-965
    • Charba, J.P.1
  • 7
    • 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
  • 8
    • 0001737050 scopus 로고
    • The use of model output statistics (MOS) in objective weather forecasting
    • Glahn, H. R., and D. A. 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.A.2
  • 10
    • 0032710602 scopus 로고    scopus 로고
    • Precipitation forecasting using neural network
    • Hall, T., H. E. Brooks, and C. A. Doswell III, 1999: Precipitation forecasting using neural network. Wea. Forecasting, 14, 339-345.
    • (1999) Wea. Forecasting , vol.14 , pp. 339-345
    • Hall, T.1    Brooks, H.E.2    Doswell III, C.A.3
  • 11
    • 0001472516 scopus 로고
    • Objective prediction of five-day mean temperature during winter
    • Klein, W. H., B. M. Lewis, and I. Enger, 1959: Objective prediction of five-day mean temperature during winter. J. Meteor., 16. 672-682.
    • (1959) J. Meteor. , vol.16 , pp. 672-682
    • Klein, W.H.1    Lewis, B.M.2    Enger, I.3
  • 12
    • 0344028221 scopus 로고    scopus 로고
    • Methodical and predictability aspect of MOS systems
    • Preprints, San Francisco, CA, Amer. Meteor. Soc
    • Knuepffer, K., 1996: Methodical and predictability aspect of MOS systems. Preprints, 13th Conf. on Probability and Statistics in Atmosphere Sciences, San Francisco, CA, Amer. Meteor. Soc., 190-197.
    • (1996) 13th Conf. on Probability and Statistics in Atmosphere Sciences , pp. 190-197
    • Knuepffer, K.1
  • 14
    • 0032434569 scopus 로고    scopus 로고
    • Localized precipitation forecast from a numerical weather prediction model using attificial neural networks
    • Kuligowski, R. J., and A. P. Barros, 1998: Localized precipitation forecast from a numerical weather prediction model using attificial neural networks. Wea. Forecasting, 13, 1194-1204.
    • (1998) Wea. Forecasting , vol.13 , pp. 1194-1204
    • Kuligowski, R.J.1    Barros, A.P.2
  • 16
    • 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
  • 17
    • 0029538471 scopus 로고
    • Evaluation of 33 years of quantitative precipitation forecasting at NMC
    • Olson, D. A., N. W. Junker, and B. Korty. 1995: Evaluation of 33 years of quantitative precipitation forecasting at 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
    • 0025526772 scopus 로고
    • The use of the simple ID steadystate convective cloud model in the decision tree for determining the probability of thunderstorm occurrence
    • Řeźǎcov́a, D., and V. Motl, 1990: The use of the simple ID steadystate convective cloud model in the decision tree for determining the probability of thunderstorm occurrence. Stud. Geophys. Geod., 34, 147-166.
    • (1990) Stud. Geophys. Geod. , vol.34 , pp. 147-166
    • Řeźǎcov́a, D.1    Motl, V.2
  • 19
    • 0032419486 scopus 로고    scopus 로고
    • Spatially averaged versus point precipitation in Monongahela basin: Statistical distinctions for forecasting
    • Sigrest, A. A., and R. Krysztofowilz, 1998: Spatially averaged versus point precipitation in Monongahela basin: Statistical distinctions for forecasting. Wea, Forecasting, 13, 1063-1077.
    • (1998) Wea. Forecasting , vol.13 , pp. 1063-1077
    • Sigrest, A.A.1    Krysztofowilz, R.2
  • 20
    • 0001667560 scopus 로고
    • The use of perfect prog forecasts to improve model output statistics forecasts of precipitation probability
    • Vislocky, R. L., and G. S. Young, 1989: The use of perfect prog forecasts to improve model output statistics forecasts of precipitation probability. Wea. Foecasting, 4, 202-209.
    • (1989) Wea. Foecasting , vol.4 , pp. 202-209
    • Vislocky, R.L.1    Young, G.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.