메뉴 건너뛰기




Volumn 56, Issue 6, 2007, Pages 2212-2219

Error correction of rainfall-runoff models with the ARMAsel program

Author keywords

Autoregressive moving average (ARMA) model; Autoregressive processes; Data assimilation; Data communication; Forecasting; Hydrological forecasting; Moving average processes; Order selection; Prediction; Time series analysis; Time series model

Indexed keywords

DATA PROCESSING; DISCHARGE (FLUID MECHANICS); RAIN; RUNOFF; TIME SERIES ANALYSIS; WEATHER FORECASTING;

EID: 37249014358     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2007.908252     Document Type: Article
Times cited : (16)

References (19)
  • 2
    • 34548291916 scopus 로고    scopus 로고
    • Predictive system for multivariate time series
    • J. Kout, J. Klema, and M. Vejmelka, "Predictive system for multivariate time series," Cybern. Syst., vol. 1/2, pp. 723-728, 2004.
    • (2004) Cybern. Syst , vol.1-2 , pp. 723-728
    • Kout, J.1    Klema, J.2    Vejmelka, M.3
  • 3
    • 0033738757 scopus 로고    scopus 로고
    • Automatic ARMA identification using neural networks and the extended sample autocorrelation function: A reevaluation
    • Aug
    • T. Chenoweth, R. Hubata, and R. D. St. Louis, "Automatic ARMA identification using neural networks and the extended sample autocorrelation function: A reevaluation," Decision Support Syst. vol. 29, no. 29, pp. 21-30, Aug. 2000.
    • (2000) Decision Support Syst , vol.29 , Issue.29 , pp. 21-30
    • Chenoweth, T.1    Hubata, R.2    St. Louis, R.D.3
  • 4
    • 0027790160 scopus 로고
    • How much complexity is warranted in a rainfall-runoff model?
    • Aug
    • A. J. Jakeman and G. M. Hornberger, "How much complexity is warranted in a rainfall-runoff model?" Water Resour. Res., vol. 29, no. 8, pp. 2637-2649, Aug. 1993.
    • (1993) Water Resour. Res , vol.29 , Issue.8 , pp. 2637-2649
    • Jakeman, A.J.1    Hornberger, G.M.2
  • 5
    • 0037099572 scopus 로고    scopus 로고
    • Advances in real-time flood forecasting
    • Jul
    • P. C. Young, "Advances in real-time flood forecasting," Philos. Trans. Roy. Soc. London A, Math. Phys. Sci., vol. 360, no. 1796, pp. 1433-1450, Jul. 2002.
    • (2002) Philos. Trans. Roy. Soc. London A, Math. Phys. Sci , vol.360 , Issue.1796 , pp. 1433-1450
    • Young, P.C.1
  • 6
    • 0037090213 scopus 로고    scopus 로고
    • Comparison of different automated strategies for calibration of rainfall-runoff models
    • H. Madsen, G. Wilson, and H. C. Ammentorp, "Comparison of different automated strategies for calibration of rainfall-runoff models," J. Hydrol., vol. 261, no. 1-4, pp. 48-59, 2002.
    • (2002) J. Hydrol , vol.261 , Issue.1-4 , pp. 48-59
    • Madsen, H.1    Wilson, G.2    Ammentorp, H.C.3
  • 8
    • 0036698155 scopus 로고    scopus 로고
    • Comparison of different forms of the multi-layer feed-forward neural network method used for river flow forecasting
    • A. Y. Shamseldin, A. E. Nasr, and K. M. O'Connor, "Comparison of different forms of the multi-layer feed-forward neural network method used for river flow forecasting," Hydrol. Earth Syst. Sci., vol. 6, no. 4, pp. 671-684, 2002.
    • (2002) Hydrol. Earth Syst. Sci , vol.6 , Issue.4 , pp. 671-684
    • Shamseldin, A.Y.1    Nasr, A.E.2    O'Connor, K.M.3
  • 9
    • 0034254196 scopus 로고    scopus 로고
    • Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments
    • Jul
    • R. J. Abrahart and L. See, "Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments," Hydrol. Process., vol. 14, no. 11, pp. 2157-2172, Jul. 2000.
    • (2000) Hydrol. Process , vol.14 , Issue.11 , pp. 2157-2172
    • Abrahart, R.J.1    See, L.2
  • 10
    • 0036543469 scopus 로고    scopus 로고
    • Automatic spectral analysis with time series models
    • Apr
    • P. M. T. Broersen, "Automatic spectral analysis with time series models," IEEE Trans. Instrum. Meas., vol. 51, no. 2, pp. 211-216, Apr. 2002.
    • (2002) IEEE Trans. Instrum. Meas , vol.51 , Issue.2 , pp. 211-216
    • Broersen, P.M.T.1
  • 12
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Dec
    • H. Akaike, "A new look at the statistical model identification," IEEE Trans. Autom. Control, vol. AC-19, no. 6, pp. 716-723, Dec. 1974.
    • (1974) IEEE Trans. Autom. Control , vol.AC-19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 13
    • 0018015137 scopus 로고
    • Modelling by shortest data description
    • J. Rissanen, "Modelling by shortest data description," Automatica vol. 14, no. 5, pp. 465-471, 1978.
    • (1978) Automatica , vol.14 , Issue.5 , pp. 465-471
    • Rissanen, J.1
  • 14
    • 0034498690 scopus 로고    scopus 로고
    • Finite sample criteria for autoregressive order selection
    • Dec
    • P. M. T. Broersen, "Finite sample criteria for autoregressive order selection," IEEE Trans. Signal Process., vol. 48, no. 12, pp. 3550-3558, Dec. 2000.
    • (2000) IEEE Trans. Signal Process , vol.48 , Issue.12 , pp. 3550-3558
    • Broersen, P.M.T.1
  • 17
    • 0001353940 scopus 로고
    • Maximum likelihood fitting of ARMA models to time series with missing observations
    • Aug
    • R. H. Jones, "Maximum likelihood fitting of ARMA models to time series with missing observations," Technometrics, vol. 22, no. 3, pp. 389-395, Aug. 1980.
    • (1980) Technometrics , vol.22 , Issue.3 , pp. 389-395
    • Jones, R.H.1
  • 19
    • 0031581519 scopus 로고    scopus 로고
    • Development and test of the distributed HBV-96 hydrological model
    • Dec
    • G. Lindstrom, B. Johannson, M. Persson, M. Gardelin, and S. Bergstrom, "Development and test of the distributed HBV-96 hydrological model," J. Hydrol., vol. 201, no. 1, pp. 272-288, Dec. 1997.
    • (1997) J. Hydrol , vol.201 , Issue.1 , pp. 272-288
    • Lindstrom, G.1    Johannson, B.2    Persson, M.3    Gardelin, M.4    Bergstrom, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.