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Volumn 140, Issue 3, 2012, Pages 874-888

Postprocessing of ensemble precipitation predictions with extended logistic regression based on hindcasts

Author keywords

Ensembles; Forecast verification; Hindcasts

Indexed keywords

AREAL PRECIPITATION; BELGIUM; CONTINUOUS RANKED PROBABILITY SCORES; ENSEMBLE PREDICTION SYSTEMS; ENSEMBLES; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; FORECAST PROBABILITIES; FORECAST VERIFICATIONS; HINDCASTS; LOGISTIC REGRESSIONS; MEAN ERRORS; MOVING WINDOW; PARAMETER SET; RAIN GAUGE DATA; RANKED PROBABILITY SKILL SCORES; SMALL CATCHMENT; TRAINING PHASE;

EID: 84857969929     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR-D-11-00062.1     Document Type: Article
Times cited : (62)

References (32)
  • 1
    • 0036693803 scopus 로고    scopus 로고
    • Comparison of methodologies for probabilistic quantitative precipitation forecasting
    • Applequist, S., G. E. Gahrs, R. L. Pfeffer, and X.-F. Niu, 2002: Comparison of methodologies for probabilistic quantitative precipitation forecasting. Wea. Forecasting, 17, 783-799.
    • (2002) Wea. Forecasting , vol.17 , pp. 783-799
    • Applequist, S.1    Gahrs, G.E.2    Pfeffer, R.L.3    Niu, X.-F.4
  • 2
    • 0001506817 scopus 로고
    • Approximate quasilikelihood estimation in models with surrogate predictors
    • Carroll, R. J., and L. A. Stefanski, 1990: Approximate quasilikelihood estimation in models with surrogate predictors. J. Amer. Stat. Assoc., 85, 652-663.
    • (1990) J. Amer. Stat. Assoc. , vol.85 , pp. 652-663
    • Carroll, R.J.1    Stefanski, L.A.2
  • 5
    • 0037109304 scopus 로고    scopus 로고
    • Estimating changing extremes using empirical ranking methods
    • Folland, C., and C. Anderson, 2002: Estimating changing extremes using empirical ranking methods. J. Climate, 15, 2954-2960.
    • (2002) J. Climate , vol.15 , pp. 2954-2960
    • Folland, C.1    Anderson, C.2
  • 6
    • 0043280953 scopus 로고
    • Improvements of the naive approach to estimation in nonlinear errors-in-variables regression models
    • Gleser, L. J., 1990: Improvements of the naive approach to estimation in nonlinear errors-in-variables regression models. Contemp. Math., 112, 99-114.
    • (1990) Contemp. Math. , vol.112 , pp. 99-114
    • Gleser, L.J.1
  • 7
    • 78650203919 scopus 로고    scopus 로고
    • Using the ECMWF reforecast dataset to calibrate EPS forecasts
    • No. 117, ECMWF, Reading, United Kingdom
    • Hagedorn, R., 2008: Using the ECMWF reforecast dataset to calibrate EPS forecasts. ECMWF Newsletter, No. 117, ECMWF, Reading, United Kingdom, 9-13.
    • (2008) ECMWF Newsletter , pp. 9-13
    • Hagedorn, R.1
  • 8
    • 52149124313 scopus 로고    scopus 로고
    • Probabilistic forecast calibration using ECMWF and GFS ensemble reforecasts. Part I: Two-meter temperatures
    • Hagedorn, R., T. M. Hamill, and J. S. Whitaker, 2008: Probabilistic forecast calibration using ECMWF and GFS ensemble reforecasts. Part I: Two-meter temperatures. Mon. Wea. Rev., 136, 2608-2619.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 2608-2619
    • Hagedorn, R.1    Hamill, T.M.2    Whitaker, J.S.3
  • 9
    • 0001104165 scopus 로고    scopus 로고
    • Evaluation of Eta-RSM ensemble probabilistic precipitation forecasts
    • Hamill, T. M., and S. J. Colucci, 1998: Evaluation of Eta-RSM ensemble probabilistic precipitation forecasts. Mon. Wea. Rev., 126, 711-724.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 711-724
    • Hamill, T.M.1    Colucci, S.J.2
  • 10
    • 33845386005 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation forecasts based on reforecast analogs: Theory and application
    • Hamill, T. M., and J. S. Whitaker, 2006: Probabilistic quantitative precipitation forecasts based on reforecast analogs: Theory and application. Mon. Wea. Rev., 134, 3209-3229.
    • (2006) Mon. Wea. Rev. , vol.134 , pp. 3209-3229
    • Hamill, T.M.1    Whitaker, J.S.2
  • 11
    • 1642306852 scopus 로고    scopus 로고
    • Ensemble reforecasting: improving medium-range forecast skill using retrospective forecasts
    • Hamill, T. M., J. S. Whitaker, and X. Wei, 2004: Ensemble reforecasting: improving medium-range forecast skill using retrospective forecasts. Mon. Wea. Rev., 132, 1434-1447.
    • (2004) Mon. Wea. Rev. , vol.132 , pp. 1434-1447
    • Hamill, T.M.1    Whitaker, J.S.2    Wei, X.3
  • 12
    • 52149093177 scopus 로고    scopus 로고
    • Probabilistic forecast calibration using ECMWF and GFS ensemble reforecasts. Part II: Precipitation
    • Hamill, T. M., R. Hagedorn, and J. S. Whitaker, 2008: Probabilistic forecast calibration using ECMWF and GFS ensemble reforecasts. Part II: Precipitation. Mon. Wea. Rev., 136, 2620-2632.
    • (2008) Mon. Wea. Rev. , vol.136 , pp. 2620-2632
    • Hamill, T.M.1    Hagedorn, R.2    Whitaker, J.S.3
  • 13
    • 0034292468 scopus 로고    scopus 로고
    • Decomposition of the continuous ranked probability score for ensemble prediction systems
    • Hersbach, H., 2000: Decomposition of the continuous ranked probability score for ensemble prediction systems. Wea. Forecasting, 15, 559-570.
    • (2000) Wea. Forecasting , vol.15 , pp. 559-570
    • Hersbach, H.1
  • 14
    • 33646432233 scopus 로고    scopus 로고
    • Bayesian approach to decision making using ensemble weather forecasts
    • Katz, R. W., and M. Ehrendorfer, 2006: Bayesian approach to decision making using ensemble weather forecasts. Wea. Forecasting, 21, 220-231.
    • (2006) Wea. Forecasting , vol.21 , pp. 220-231
    • Katz, R.W.1    Ehrendorfer, M.2
  • 16
    • 41949131229 scopus 로고    scopus 로고
    • Hydrometeorological accuracy enhancement via postprocessing of numerical wheather forecasts in complex terrain
    • McCollor, D., and R. Stull, 2008: Hydrometeorological accuracy enhancement via postprocessing of numerical wheather forecasts in complex terrain. Wea. Forecasting, 23, 131-144.
    • (2008) Wea. Forecasting , vol.23 , pp. 131-144
    • McCollor, D.1    Stull, R.2
  • 17
    • 54749154068 scopus 로고    scopus 로고
    • Modeling the distribution of precipitation forecasts from the Canadian ensemble prediction system using kernel density estimation
    • Peel, S., and L. J. Wilson, 2008: Modeling the distribution of precipitation forecasts from the Canadian ensemble prediction system using kernel density estimation. Wea. Forecasting, 23, 575-595.
    • (2008) Wea. Forecasting , vol.23 , pp. 575-595
    • Peel, S.1    Wilson, L.J.2
  • 18
    • 40349101980 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation forecast for flood prediction: An application
    • Reggiani, P., and A. H. Weerts, 2008: Probabilistic quantitative precipitation forecast for flood prediction: An application. J. Hydrometeor., 9, 76-95.
    • (2008) J. Hydrometeor. , vol.9 , pp. 76-95
    • Reggiani, P.1    Weerts, A.H.2
  • 19
    • 57149146924 scopus 로고    scopus 로고
    • Comparing and combining deterministic and ensemble forecasts: How to predict rainfall occurrence better
    • No. 106, ECMWF, Reading, United Kingdom
    • Rodwell, M., 2006: Comparing and combining deterministic and ensemble forecasts: How to predict rainfall occurrence better. ECMWF Newsletter, No. 106, ECMWF, Reading, United Kingdom, 17-23.
    • (2006) ECMWF Newsletter , pp. 17-23
    • Rodwell, M.1
  • 20
    • 0024426743 scopus 로고
    • Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error
    • Rosner, B., W. C. Willett, and D. Spiegelman, 1989: Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error. Stat. Med., 8, 1051-1069.
    • (1989) Stat. Med. , vol.8 , pp. 1051-1069
    • Rosner, B.1    Willett, W.C.2    Spiegelman, D.3
  • 21
    • 0025162751 scopus 로고
    • Correction of logistic regression relative risk estimates and confidence intervals for measurement error: The case of multiple covariate measured with error
    • Rosner, B., D. Spiegelman, and W. C. Willett, 1990: Correction of logistic regression relative risk estimates and confidence intervals for measurement error: The case of multiple covariate measured with error. Amer. J. Epidemiol., 132, 734-745.
    • (1990) Amer. J. Epidemiol. , vol.132 , pp. 734-745
    • Rosner, B.1    Spiegelman, D.2    Willett, W.C.3
  • 22
    • 0027090261 scopus 로고
    • Correction of logistic regression relative risk estimates and confidence intervals for random within-person measurement error
    • Rosner, B., D. Spiegelman, and W. C. Willett, 1992: Correction of logistic regression relative risk estimates and confidence intervals for random within-person measurement error. Amer. J. Epidemiol., 136, 1400-1413.
    • (1992) Amer. J. Epidemiol. , vol.136 , pp. 1400-1413
    • Rosner, B.1    Spiegelman, D.2    Willett, W.C.3
  • 23
    • 28044433652 scopus 로고    scopus 로고
    • Skill of medium-range hydrological ensemble predictions
    • Roulin, E., and S. Vannitsem, 2005: Skill of medium-range hydrological ensemble predictions. J. Hydrometeor., 6, 729-744.
    • (2005) J. Hydrometeor. , vol.6 , pp. 729-744
    • Roulin, E.1    Vannitsem, S.2
  • 24
    • 0036612028 scopus 로고    scopus 로고
    • Evaluating probabilistic forecasts using information theory
    • Roulston, M. S., and L. A. Smith, 2002: Evaluating probabilistic forecasts using information theory. Mon. Wea. Rev., 130, 1653-1660.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 1653-1660
    • Roulston, M.S.1    Smith, L.A.2
  • 25
    • 78650192426 scopus 로고    scopus 로고
    • A comparison between raw ensemble output, (modified) Bayesian model averaging, and extended logistic regression using ECMWF ensemble precipitation reforecasts
    • Schmeits, M. J., and K. J. Kok, 2010: A comparison between raw ensemble output, (modified) Bayesian model averaging, and extended logistic regression using ECMWF ensemble precipitation reforecasts. Mon. Wea. Rev., 138, 4199-4211.
    • (2010) Mon. Wea. Rev. , vol.138 , pp. 4199-4211
    • Schmeits, M.J.1    Kok, K.J.2
  • 26
    • 34248354794 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation forecasting using Bayesian model averaging
    • Sloughter, J. M., A. E. Raftery, T. Gneiting, and C. Fraley, 2007: Probabilistic quantitative precipitation forecasting using Bayesian model averaging. Mon. Wea. Rev., 135, 3209-3220.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 3209-3220
    • Sloughter, J.M.1    Raftery, A.E.2    Gneiting, T.3    Fraley, C.4
  • 27
    • 0001139242 scopus 로고
    • Covariate measurement error in logistic regression
    • Stefanski, L. A., and R. J. Carroll, 1985: Covariate measurement error in logistic regression. Ann. Stat., 13, 1335-1351.
    • (1985) Ann. Stat. , vol.13 , pp. 1335-1351
    • Stefanski, L.A.1    Carroll, R.J.2
  • 28
    • 0033850707 scopus 로고    scopus 로고
    • A simulation study of measurement error correction methods in logistic regression
    • Thoresen, M., and P. Laake, 2000: A simulation study of measurement error correction methods in logistic regression. Biometrics, 56, 868-872.
    • (2000) Biometrics , vol.56 , pp. 868-872
    • Thoresen, M.1    Laake, P.2
  • 29
    • 0042863324 scopus 로고    scopus 로고
    • The use of replicates in logistic measurement error modeling
    • Thoresen, M., and P. Laake, 2003: The use of replicates in logistic measurement error modeling. Scand. J. Stat., 30, 625-636.
    • (2003) Scand. J. Stat. , vol.30 , pp. 625-636
    • Thoresen, M.1    Laake, P.2
  • 30
    • 77951670541 scopus 로고    scopus 로고
    • Hydrological ensemble prediction and verification for the Meuse and Scheldt basins
    • Van den Bergh, J., and E. Roulin, 2009: Hydrological ensemble prediction and verification for the Meuse and Scheldt basins. Atmos. Sci. Lett., 11, 64-71.
    • (2009) Atmos. Sci. Lett. , vol.11 , pp. 64-71
    • Van den Bergh, J.1    Roulin, E.2
  • 31
    • 70349414695 scopus 로고    scopus 로고
    • Extending logistic regression to provide fullprobability-distribution MOS forecasts
    • Wilks, D. S., 2009: Extending logistic regression to provide fullprobability-distribution MOS forecasts. Meteor. Appl., 16, 361-368.
    • (2009) Meteor. Appl. , vol.16 , pp. 361-368
    • Wilks, D.S.1
  • 32
    • 34447309549 scopus 로고    scopus 로고
    • Comparison of ensemble-MOS methods using GFS reforecasts
    • Wilks, D. S., and T. M. Hamill, 2007: Comparison of ensemble-MOS methods using GFS reforecasts. Mon. Wea. Rev., 135, 2379-2390.
    • (2007) Mon. Wea. Rev. , vol.135 , pp. 2379-2390
    • Wilks, D.S.1    Hamill, T.M.2


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