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Volumn 143, Issue 5, 2015, Pages 1533-1553

Statistical postprocessing of high-resolution regional climate model output

Author keywords

Bayesian methods; Ensembles; Forecast verification skill; Model output statistics; Regional models; Statistical techniques

Indexed keywords

BAYESIAN NETWORKS; FORECASTING; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS; STATISTICS; WEATHER FORECASTING;

EID: 84944097159     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-14-00159.1     Document Type: Article
Times cited : (28)

References (90)
  • 1
    • 0016355478 scopus 로고
    • Anew look at the statistical model identification
    • Akaike, H., 1974: Anew look at the statistical model identification. IEEE Trans. Autom. Control, 19, 716-723, doi:10.1109/TAC.1974.1100705.
    • (1974) IEEE Trans. Autom. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 3
    • 78649344259 scopus 로고    scopus 로고
    • Noah land surface model modifications to improve snowpack prediction in the Colorado Rocky Mountains
    • Barlage, M., and Coauthors, 2010: Noah land surface model modifications to improve snowpack prediction in the Colorado Rocky Mountains. J. Geophys. Res., 115, D22101, doi:10.1029/2009JD013470.
    • (2010) J. Geophys. Res , vol.115
    • Barlage, M.1
  • 4
    • 77149155350 scopus 로고    scopus 로고
    • Downscaling precipitation extremes
    • Benestad, R. E., 2010: Downscaling precipitation extremes. Theor. Appl. Climatol., 100, 1-21, doi:10.1007/s00704-009-0158-1.
    • (2010) Theor. Appl. Climatol , vol.100 , pp. 1-21
    • Benestad, R.E.1
  • 5
    • 84868335936 scopus 로고    scopus 로고
    • Generating and calibrating probabilistic quantitative precipitation forecasts from the high-resolution NWP model COSMO-DE
    • Bentzien, S., and P. Friederichs, 2012: Generating and calibrating probabilistic quantitative precipitation forecasts from the high-resolution NWP model COSMO-DE. Wea. Forecasting, 27, 988-1002, doi:10.1175/WAF-D-11-00101.1.
    • (2012) Wea. Forecasting , vol.27 , pp. 988-1002
    • Bentzien, S.1    Friederichs, P.2
  • 6
    • 1842483168 scopus 로고    scopus 로고
    • Probabilistic forecasts of precipitation in terms of quantiles using NWP model output
    • Bremnes, J. B., 2004: Probabilistic forecasts of precipitation in terms of quantiles using NWP model output. Mon. Wea. Rev., 132, 338-347, doi:10.1175/1520-0493(2004)132<0338:PFOPIT>2.0.CO;2.
    • (2004) Mon. Wea. Rev , vol.132 , pp. 338-347
    • Bremnes, J.B.1
  • 7
    • 0343795840 scopus 로고
    • The statistical theory of turbulence and the problem of diffusion in the atmosphere
    • Brier, G. W., 1950: The statistical theory of turbulence and the problem of diffusion in the atmosphere. J. Meteor., 7, 283-290, doi:10.1175/1520-0469(1950)007<0283:TSTOTA>2.0.CO;2.
    • (1950) J. Meteor , vol.7 , pp. 283-290
    • Brier, G.W.1
  • 8
    • 4143121217 scopus 로고    scopus 로고
    • Impacts of parametric and radar rainfall uncertainty on the ensemble stream flow simulations of a distributed hydrologic model
    • Carpenter, T. M., and K. P. Georgakakos, 2004: Impacts of parametric and radar rainfall uncertainty on the ensemble stream flow simulations of a distributed hydrologic model. J. Hydrol., 298, 202-221, doi:10.1016/j.jhydrol.2004.03.036.
    • (2004) J. Hydrol , vol.298 , pp. 202-221
    • Carpenter, T.M.1    Georgakakos, K.P.2
  • 9
    • 0000518022 scopus 로고
    • Statistical forecasts based on the National Meteorological Center's numerical weather prediction system
    • Carter, G. M., J. P. Dallavalle, and H. R. Glahn, 1989: Statistical forecasts based on the National Meteorological Center's numerical weather prediction system. Wea. Forecasting, 4, 401-412, doi:10.1175/1520-0434(1989)004<0401:SFBOTN>2.0.CO;2.
    • (1989) Wea. Forecasting , vol.4 , pp. 401-412
    • Carter, G.M.1    Dallavalle, J.P.2    Glahn, H.R.3
  • 10
    • 0035303091 scopus 로고    scopus 로고
    • Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system Part I: Model implementation and sensitivity
    • Chen, F., and J. Dudhia, 2001: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Wea. Rev., 129, 569-585, doi:10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2.
    • (2001) Mon. Wea. Rev , vol.129 , pp. 569-585
    • Chen, F.1    Dudhia, J.2
  • 11
    • 83455168876 scopus 로고    scopus 로고
    • Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed
    • Chen, J., F. P. Brissette, A. Poulin, and R. Leconte, 2011: Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed. Water Resour. Res., 47, W12509, doi:10.1029/2011WR010602.
    • (2011) Water Resour. Res , vol.47
    • Chen, J.1    Brissette, F.P.2    Poulin, A.3    Leconte, R.4
  • 12
    • 34547330128 scopus 로고    scopus 로고
    • A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin
    • Christensen, N. S., and D. P. Lettenmaier, 2007: A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin. Hydrol. Earth Syst. Sci., 11, 1417-1434, doi:10.5194/hess-11-1417-2007.
    • (2007) Hydrol. Earth Syst. Sci , vol.11 , pp. 1417-1434
    • Christensen, N.S.1    Lettenmaier, D.P.2
  • 13
    • 1642322054 scopus 로고    scopus 로고
    • Use of medium-range numerical weather prediction model output to produce forecasts of streamflow
    • Clark, M. P., and L. E. Hay, 2004: Use of medium-range numerical weather prediction model output to produce forecasts of streamflow. J. Hydrometeor., 5, 15-32, doi:10.1175/1525-7541(2004)005<0015:UOMNWP>2.0.CO;2.
    • (2004) J. Hydrometeor , vol.5 , pp. 15-32
    • Clark, M.P.1    Hay, L.E.2
  • 14
    • 33645549317 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation estimation in complex terrain
    • Clark, M. P., and A. G. Slater, 2006: Probabilistic quantitative precipitation estimation in complex terrain. J. Hydrometeor., 7, 3-22, doi:10.1175/JHM474.1.
    • (2006) J. Hydrometeor , vol.7 , pp. 3-22
    • Clark, M.P.1    Slater, A.G.2
  • 15
    • 1642284456 scopus 로고    scopus 로고
    • The Schaake Shuffle: A method for reconstructing space-time variability in forecasted precipitation and temperature fields
    • Clark, M. P., S. Gangopadhyay, L. Hay, B. Rajagopalan, and R. Wilby, 2004: The Schaake Shuffle: A method for reconstructing space-time variability in forecasted precipitation and temperature fields. J. Hydrometeor., 5, 243-262, doi:10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO;2.
    • (2004) J. Hydrometeor , vol.5 , pp. 243-262
    • Clark, M.P.1    Gangopadhyay, S.2    Hay, L.3    Rajagopalan, B.4    Wilby, R.5
  • 17
    • 42549127230 scopus 로고    scopus 로고
    • Evaluating forecasts of extreme events for hydrological applications: An approach for screening unfamiliar performance measures
    • Cloke, H. L., and F. Pappenberger, 2008: Evaluating forecasts of extreme events for hydrological applications: An approach for screening unfamiliar performance measures. Meteor. Appl., 15, 181-197, doi:10.1002/met.58.
    • (2008) Meteor. Appl , vol.15 , pp. 181-197
    • Cloke, H.L.1    Pappenberger, F.2
  • 18
    • 0033117829 scopus 로고    scopus 로고
    • Evaluation ofMM5 and Eta-10 precipitation forecasts over the Pacific Northwest during the cool season
    • Colle, B. A., K. J. Westrick, and C. F.Mass, 1999: Evaluation ofMM5 and Eta-10 precipitation forecasts over the Pacific Northwest during the cool season. Wea. Forecasting, 14, 137-154, doi:10.1175/1520-0434(1999)014<0137:EOMAEP>2.0.CO;2.
    • (1999) Wea. Forecasting , vol.14 , pp. 137-154
    • Colle, B.A.1    Westrick, K.J.2    Mass, C.F.3
  • 19
    • 0034463694 scopus 로고    scopus 로고
    • MM5 precipitation verification over the Pacific Northwest during the 1997-99 cool seasons
    • Colle, B. A., C. F. Mass, and K. J. Westrick, 2000: MM5 precipitation verification over the Pacific Northwest during the 1997-99 cool seasons. Wea. Forecasting, 15, 730-744, doi:10.1175/1520-0434(2000)015<0730:MPVOTP>2.0.CO;2.
    • (2000) Wea. Forecasting , vol.15 , pp. 730-744
    • Colle, B.A.1    Mass, C.F.2    Westrick, K.J.3
  • 20
    • 0042905770 scopus 로고    scopus 로고
    • Multiseason verification of the MM5. Part II: Evaluation of high-resolution precipitation forecasts over the northeastern United States
    • Colle, B. A., J. B. Olson, and J. S. Tongue, 2003: Multiseason verification of the MM5. Part II: Evaluation of high-resolution precipitation forecasts over the northeastern United States. Wea. Forecasting, 18, 458-480, doi:10.1175/1520-0434(2003)18<458:MVOTMP>2.0.CO;2.
    • (2003) Wea. Forecasting , vol.18 , pp. 458-480
    • Colle, B.A.1    Olson, J.B.2    Tongue, J.S.3
  • 21
    • 33744490657 scopus 로고    scopus 로고
    • The Community Climate System Model version 3 (CCSM3)
    • Collins, W. D., and Coauthors, 2006: The Community Climate System Model version 3 (CCSM3). J. Climate, 19, 2122-2143, doi:10.1175/JCLI3761.1.
    • (2006) J. Climate , vol.19 , pp. 2122-2143
    • Collins, W.D.1
  • 22
    • 33745931058 scopus 로고    scopus 로고
    • Assessment of model uncertainty for soil moisture through ensemble verification
    • De Lannoy, G. J. M., P. R. Houser, V. R. N. Pauwels, and N. E. C. Verhoest, 2006: Assessment of model uncertainty for soil moisture through ensemble verification. J. Geophys. Res., 111, D10101, doi:10.1029/2005JD006367.
    • (2006) J. Geophys. Res , vol.111
    • De Lannoy, G.J.M.1    Houser, P.R.2    Pauwels, V.R.N.3    Verhoest, N.E.C.4
  • 23
    • 34547904994 scopus 로고    scopus 로고
    • Probabilistic aspects of meteorological and ozone regional ensemble forecasts
    • Delle Monache, L., J. P. Hacker, Y. Zhou, X. Deng, and R. B. Stull, 2006: Probabilistic aspects of meteorological and ozone regional ensemble forecasts. J. Geophys. Res., 111, D24307, doi:10.1029/2005JD006917.
    • (2006) J. Geophys. Res , vol.111
    • Delle Monache, L.1    Hacker, J.P.2    Zhou, Y.3    Deng, X.4    Stull, R.B.5
  • 24
    • 84884969315 scopus 로고    scopus 로고
    • Probabilistic weather prediction with an analog ensemble
    • Delle Monache, L., F. A. Eckel, D. L. Rife, B. Nagarajan, and K. Searight, 2013: Probabilistic weather prediction with an analog ensemble. Mon. Wea. Rev., 141, 3498-3516, doi:10.1175/MWR-D-12-00281.1.
    • (2013) Mon. Wea. Rev , vol.141 , pp. 3498-3516
    • Delle Monache, L.1    Eckel, F.A.2    Rife, D.L.3    Nagarajan, B.4    Searight, K.5
  • 25
    • 77953220812 scopus 로고    scopus 로고
    • Calibrating multimodel forecast ensembles with exchangeable and missing members using Bayesian model averaging
    • Fraley, C., A. E. Raftery, and T. Gneiting, 2010: Calibrating multimodel forecast ensembles with exchangeable and missing members using Bayesian model averaging. Mon. Wea. Rev., 138, 190-202, doi:10.1175/2009MWR3046.1.
    • (2010) Mon. Wea. Rev , vol.138 , pp. 190-202
    • Fraley, C.1    Raftery, A.E.2    Gneiting, T.3
  • 26
    • 77953228097 scopus 로고    scopus 로고
    • ensemble BMA: An R package for probabilistic forecasting using ensembles and Bayesian model averaging
    • Department of Statistics, University of Washington
    • Fraley, C., A. E. Raftery, T. Gneiting, and J. M. Sloughter, 2013: ensemble BMA: An R package for probabilistic forecasting using ensembles and Bayesian model averaging. Tech. Rep. 516, Department of Statistics, University of Washington, 19 pp. [Available online at http://www.stat.washington.edu/research/reports/2008/tr516.pdf.]
    • (2013) Tech. Rep , vol.516 , pp. 19
    • Fraley, C.1    Raftery, A.E.2    Gneiting, T.3    Sloughter, J.M.4
  • 27
    • 34447336375 scopus 로고    scopus 로고
    • Statistical downscaling of extreme precipitation events using censored quantile regression
    • Friederichs, P., and A. Hense, 2007: Statistical downscaling of extreme precipitation events using censored quantile regression. Mon. Wea. Rev., 135, 2365-2378, doi:10.1175/MWR3403.1.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 2365-2378
    • Friederichs, P.1    Hense, A.2
  • 28
    • 59649107992 scopus 로고    scopus 로고
    • Improving the simulation of extreme precipitation events by stochastic weather generators
    • Furrer, E. M., and R. W. Katz, 2008: Improving the simulation of extreme precipitation events by stochastic weather generators. Water Resour. Res., 44, W12439, doi:10.1029/2008WR007316.
    • (2008) Water Resour. Res , vol.44
    • Furrer, E.M.1    Katz, R.W.2
  • 29
    • 12144251134 scopus 로고    scopus 로고
    • Effects of spatial and temporal aggregation on the accuracy of statistically downscaled precipitation estimates in the upper Colorado River basin
    • Gangopadhyay, S., M. Clark, K. Werner, D. Brandon, and B. Rajagopalan, 2004: Effects of spatial and temporal aggregation on the accuracy of statistically downscaled precipitation estimates in the upper Colorado River basin. J. Hydrometeor., 5, 1192-1206, doi:10.1175/JHM-391.1.
    • (2004) J. Hydrometeor , vol.5 , pp. 1192-1206
    • Gangopadhyay, S.1    Clark, M.2    Werner, K.3    Brandon, D.4    Rajagopalan, B.5
  • 30
    • 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, doi:10.1175/1520-0450(1972)011<1203:TUOMOS>2.0.CO;2.
    • (1972) J. Appl. Meteor , vol.11 , pp. 1203-1211
    • Glahn, H.R.1    Lowry, D.A.2
  • 31
    • 33846694420 scopus 로고    scopus 로고
    • Measuring the ensemble spread-error relationship with a probabilistic approach: Stochastic ensemble results
    • Grimit, E. P., and C. F. Mass, 2007: Measuring the ensemble spread-error relationship with a probabilistic approach: Stochastic ensemble results. Mon. Wea. Rev., 135, 203-221, doi:10.1175/MWR3262.1.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 203-221
    • Grimit, E.P.1    Mass, C.F.2
  • 32
    • 84872933880 scopus 로고    scopus 로고
    • Reassessing statistical downscaling techniques for their robust application under climate change conditions
    • Gutiérrez, J. M., D. San-Martín, S. Brands, R. Manzanas, and S.Herrera, 2013: Reassessing statistical downscaling techniques for their robust application under climate change conditions. J. Climate, 26, 171-188, doi:10.1175/JCLI-D-11-00687.1.
    • (2013) J. Climate , vol.26 , pp. 171-188
    • Gutiérrez, J.M.1    San-Martín, D.2    Brands, S.3    Manzanas, R.4    Herrera, S.5
  • 33
    • 84918803109 scopus 로고    scopus 로고
    • An intercomparison of statistical downscaling methods used for water resource assessments in the United States
    • Gutmann, E., T. Pruitt, M. P. Clark, L. Brekke, J. R. Arnold, D. A. Raff, and R. M. Rasmussen, 2014: An intercomparison of statistical downscaling methods used for water resource assessments in the United States. Water Resour. Res., 50, 7167-7186, doi:10.1002/2014WR015559.
    • (2014) Water Resour. Res , vol.50 , pp. 7167-7186
    • Gutmann, E.1    Pruitt, T.2    Clark, M.P.3    Brekke, L.4    Arnold, J.R.5    Raff, D.A.6    Rasmussen, R.M.7
  • 34
    • 0000493076 scopus 로고    scopus 로고
    • Reliability diagrams for multicategory probabilistic forecasts
    • Hamill, T. M., 1997: Reliability diagrams for multicategory probabilistic forecasts. Wea. Forecasting, 12, 736-741, doi:10.1175/1520-0434(1997)012<0736:RDFMPF>2.0.CO;2.
    • (1997) Wea. Forecasting , vol.12 , pp. 736-741
    • Hamill, T.M.1
  • 35
    • 0035270069 scopus 로고    scopus 로고
    • Interpretation of rank histograms for verifying ensemble forecasts
    • Hamill, T. M., 2001: Interpretation of rank histograms for verifying ensemble forecasts. Mon. Wea. Rev., 129, 550-560, doi:10.1175/1520-0493(2001)129<0550:IORHFV>2.0.CO;2.
    • (2001) Mon. Wea. Rev , vol.129 , pp. 550-560
    • Hamill, T.M.1
  • 36
    • 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, doi:10.1175/MWR3237.1.
    • (2006) Mon. Wea. Rev , vol.134 , pp. 3209-3229
    • Hamill, T.M.1    Whitaker, J.S.2
  • 37
    • 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, doi:10.1175/1520-0493(2004)132<1434:ERIMFS>2.0.CO;2.
    • (2004) Mon. Wea. Rev , vol.132 , pp. 1434-1447
    • Hamill, T.M.1    Whitaker, J.S.2    Wei, X.3
  • 39
    • 38949095673 scopus 로고    scopus 로고
    • Past peak water in the Southwest
    • Hoerling, M., and J. Eischeid, 2007: Past peak water in the Southwest. Southwest Hydrol., 6, 18-19.
    • (2007) Southwest Hydrol , vol.6 , pp. 18-19
    • Hoerling, M.1    Eischeid, J.2
  • 40
    • 33749016495 scopus 로고    scopus 로고
    • A new vertical diffusion package with an explicit treatment of entrainment processes
    • Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341, doi:10.1175/MWR3199.1.
    • (2006) Mon. Wea. Rev , vol.134 , pp. 2318-2341
    • Hong, S.-Y.1    Noh, Y.2    Dudhia, J.3
  • 41
    • 77955756585 scopus 로고    scopus 로고
    • Simulation of seasonal snowfall over Colorado
    • Ikeda, K., and Coauthors, 2010: Simulation of seasonal snowfall over Colorado. Atmos. Res., 97, 462-477, doi:10.1016/j.atmosres.2010.04.010.
    • (2010) Atmos. Res , vol.97 , pp. 462-477
    • Ikeda, K.1
  • 43
    • 33947256082 scopus 로고    scopus 로고
    • Evaluation of a mesoscale short-range ensemble forecast system over the northeastUnited States
    • Jones, M. S., B. A. Colle, and J. S. Tongue, 2007: Evaluation of a mesoscale short-range ensemble forecast system over the northeastUnited States.Wea. Forecasting, 22, 36-55, doi:10.1175/WAF973.1.
    • (2007) Wea. Forecasting , vol.22 , pp. 36-55
    • Jones, M.S.1    Colle, B.A.2    Tongue, J.S.3
  • 46
    • 0000273843 scopus 로고
    • Regression quantiles
    • Koenker, R., and G. Bassett Jr., 1978: Regression quantiles. Econometrica, 46, 33-50, doi:10.2307/1913643.
    • (1978) Econometrica , vol.46 , pp. 33-50
    • Koenker, R.1    Bassett, G.2
  • 47
    • 0000809318 scopus 로고
    • Computing regression quantiles
    • Koenker, R., and V. D'Orey, 1987: Computing regression quantiles. J. Roy. Stat. Soc., 36A, 383-393.
    • (1987) J. Roy. Stat. Soc , vol.36A , pp. 383-393
    • Koenker, R.1    D'Orey, V.2
  • 48
    • 0040332003 scopus 로고    scopus 로고
    • Quantile regression
    • Koenker, R., and K. F. Hallock, 2001: Quantile regression. J. Econ. Perspect., 15, 143-156, doi:10.1257/jep.15.4.143.
    • (2001) J. Econ. Perspect , vol.15 , pp. 143-156
    • Koenker, R.1    Hallock, K.F.2
  • 49
    • 34248166114 scopus 로고    scopus 로고
    • Verification tools for probabilistic forecasts of continuous hydrological variables
    • Laio, F., and S. Tamea, 2007: Verification tools for probabilistic forecasts of continuous hydrological variables. Hydrol. Earth Syst. Sci., 11, 1267-1277, doi:10.5194/hess-11-1267-2007.
    • (2007) Hydrol. Earth Syst. Sci , vol.11 , pp. 1267-1277
    • Laio, F.1    Tamea, S.2
  • 50
    • 53649106670 scopus 로고    scopus 로고
    • A new verification method to ensure consistent ensemble forecasts through calibrated precipitation downscaling models
    • Mascaro, G., R. Deidda, and E. R. Vivoni, 2008: A new verification method to ensure consistent ensemble forecasts through calibrated precipitation downscaling models. Mon. Wea. Rev., 136, 3374-3391, doi:10.1175/2008MWR2339.1.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 3374-3391
    • Mascaro, G.1    Deidda, R.2    Vivoni, E.R.3
  • 52
    • 84867003411 scopus 로고    scopus 로고
    • Uncertainty in flood forecasting:Adistributed modeling approach in a sparse data catchment
    • Mendoza, P. A., J. McPhee, and X. Vargas, 2012: Uncertainty in flood forecasting:Adistributed modeling approach in a sparse data catchment. Water Resour. Res., 48, W09532, doi:10.1029/2011WR011089.
    • (2012) Water Resour. Res , vol.48
    • Mendoza, P.A.1    McPhee, J.2    Vargas, X.3
  • 53
    • 84904521478 scopus 로고    scopus 로고
    • A robust multimodel framework for ensemble seasonal hydroclimatic forecasts
    • Mendoza, P. A., B. Rajagopalan, M. P. Clark, G. Cortés, and J. McPhee, 2014: A robust multimodel framework for ensemble seasonal hydroclimatic forecasts. Water Resour. Res., 50, 6030-6052, doi:10.1002/2014WR015426.
    • (2014) Water Resour. Res , vol.50 , pp. 6030-6052
    • Mendoza, P.A.1    Rajagopalan, B.2    Clark, M.P.3    Cortés, G.4    McPhee, J.5
  • 54
    • 33645538119 scopus 로고    scopus 로고
    • North American Regional Reanalysis
    • Mesinger, F., and Coauthors, 2006: North American Regional Reanalysis. Bull. Amer. Meteor. Soc., 87, 343-360, doi:10.1175/BAMS-87-3-343.
    • (2006) Bull. Amer. Meteor. Soc , vol.87 , pp. 343-360
    • Mesinger, F.1
  • 55
    • 27844519343 scopus 로고    scopus 로고
    • Global pattern of trends in stream flow and water availability in a changing climate
    • Milly, P. C. D., K. A. Dunne, and A. V. Vecchia, 2005: Global pattern of trends in stream flow and water availability in a changing climate. Nature, 438, 347-350, doi:10.1038/nature04312.
    • (2005) Nature , vol.438 , pp. 347-350
    • Milly, P.C.D.1    Dunne, K.A.2    Vecchia, A.V.3
  • 56
    • 79952649887 scopus 로고    scopus 로고
    • Impact of uncertainties in meteorological forcing data and land surface parameters on global estimates of terrestrial water balance components
    • Nasonova, O. N., Y. M. Gusev, and Y. E. Kovalev, 2011: Impact of uncertainties in meteorological forcing data and land surface parameters on global estimates of terrestrial water balance components. Hydrol. Processes, 25, 1074-1090, doi:10.1002/hyp.7651.
    • (2011) Hydrol. Processes , vol.25 , pp. 1074-1090
    • Nasonova, O.N.1    Gusev, Y.M.2    Kovalev, Y.E.3
  • 57
    • 33244496469 scopus 로고    scopus 로고
    • Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts
    • Nielsen, H. A., H. Madsen, and T. S. Nielsen, 2006: Using quantile regression to extend an existing wind power forecasting system with probabilistic forecasts. Wind Energy, 9, 95-108, doi:10.1002/we.180.
    • (2006) Wind Energy , vol.9 , pp. 95-108
    • Nielsen, H.A.1    Madsen, H.2    Nielsen, T.S.3
  • 58
    • 68049094846 scopus 로고    scopus 로고
    • The skill of probabilistic precipitation forecasts under observational uncertainties with in the generalized likelihood uncertainty estimation framework for hydrological applications
    • Pappenberger, F., A. Ghelli, R. Buizza, and K. Bódis, 2009: The skill of probabilistic precipitation forecasts under observational uncertainties with in the generalized likelihood uncertainty estimation framework for hydrological applications. J. Hydrometeor., 10, 807-819, doi:10.1175/2008JHM956.1.
    • (2009) J. Hydrometeor , vol.10 , pp. 807-819
    • Pappenberger, F.1    Ghelli, A.2    Buizza, R.3    Bódis, K.4
  • 59
    • 79952659522 scopus 로고    scopus 로고
    • The impact of weather forecast improvements on large scale hydrology: Analysing a decade of forecasts of the European Flood Alert System
    • Pappenberger, F., J. Thielen, and M. Del Medico, 2011: The impact of weather forecast improvements on large scale hydrology: Analysing a decade of forecasts of the European Flood Alert System. Hydrol. Processes, 25, 1091-1113, doi:10.1002/hyp.7772.
    • (2011) Hydrol. Processes , vol.25 , pp. 1091-1113
    • Pappenberger, F.1    Thielen, J.2    Del Medico, M.3
  • 60
    • 84880671975 scopus 로고    scopus 로고
    • Importance of regional climate model grid spacing for the simulation of heavy precipitation in the Colorado headwaters
    • Prein, A. F., G. J. Holland, R. M. Rasmussen, J. Done, K. Ikeda, M. P. Clark, and C. H. Liu, 2013: Importance of regional climate model grid spacing for the simulation of heavy precipitation in the Colorado headwaters. J. Climate, 26, 4848-4857, doi:10.1175/JCLI-D-12-00727.1.
    • (2013) J. Climate , vol.26 , pp. 4848-4857
    • Prein, A.F.1    Holland, G.J.2    Rasmussen, R.M.3    Done, J.4    Ikeda, K.5    Clark, M.P.6    Liu, C.H.7
  • 61
    • 84863304598 scopus 로고    scopus 로고
    • R Foundation for Statistical Computing
    • R Development Core Team, 2011: R: A language and environment for statistical computing. R Foundation for Statistical Computing. [Available online at http://www.r-project.org/.]
    • (2011) R: A language and environment for statistical computing
  • 62
    • 20444497873 scopus 로고    scopus 로고
    • Using Bayesian model averaging to calibrate forecast ensembles
    • Raftery, A. E., T. Gneiting, F. Balabdaoui, and M. Polakowski, 2005: Using Bayesian model averaging to calibrate forecast ensembles. Mon. Wea. Rev., 133, 1155-1174, doi:10.1175/MWR2906.1.
    • (2005) Mon. Wea. Rev , vol.133 , pp. 1155-1174
    • Raftery, A.E.1    Gneiting, T.2    Balabdaoui, F.3    Polakowski, M.4
  • 63
    • 79959371365 scopus 로고    scopus 로고
    • High-resolution coupled climate runoff simulations of seasonal snow fall over Colorado: A process study of current and warmer climate
    • Rasmussen, R., and Coauthors, 2011: High-resolution coupled climate runoff simulations of seasonal snow fall over Colorado: A process study of current and warmer climate. J. Climate, 24, 3015-3048, doi:10.1175/2010JCLI3985.1.
    • (2011) J. Climate , vol.24 , pp. 3015-3048
    • Rasmussen, R.1
  • 64
    • 84861748930 scopus 로고    scopus 로고
    • How well are we measuring snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed
    • Rasmussen, R., and Coauthors, 2012: How well are we measuring snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed. Bull. Amer. Meteor. Soc., 93, 811-829, doi:10.1175/BAMS-D-11-00052.1.
    • (2012) Bull. Amer. Meteor. Soc , vol.93 , pp. 811-829
    • Rasmussen, R.1
  • 65
    • 84901950676 scopus 로고    scopus 로고
    • Climate change impacts on the water balance of the Colorado headwaters: High-resolution regional climate model simulations
    • Rasmussen, R., and Coauthors, 2014: Climate change impacts on the water balance of the Colorado headwaters: High-resolution regional climate model simulations. J. Hydrometeor., 15, 1091-1116, doi:10.1175/JHM-D-13-0118.1.
    • (2014) J. Hydrometeor , vol.15 , pp. 1091-1116
    • Rasmussen, R.1
  • 67
    • 70249118220 scopus 로고    scopus 로고
    • Verification of ensemble flow forecasts for the River Rhine
    • Renner, M., M. G. F. Werner, S. Rademacher, and E. Sprokkereef, 2009: Verification of ensemble flow forecasts for the River Rhine. J. Hydrol., 376, 463-475, doi:10.1016/j.jhydrol.2009.07.059.
    • (2009) J. Hydrol , vol.376 , pp. 463-475
    • Renner, M.1    Werner, M.G.F.2    Rademacher, S.3    Sprokkereef, E.4
  • 69
    • 84857969929 scopus 로고    scopus 로고
    • Postprocessing of ensemble precipitation predictions with extended logistic regression based on hindcasts
    • Roulin, E., and S. Vannitsem, 2012: Postprocessing of ensemble precipitation predictions with extended logistic regression based on hindcasts. Mon. Wea. Rev., 140, 874-888, doi:10.1175/MWR-D-11-00062.1.
    • (2012) Mon. Wea. Rev , vol.140 , pp. 874-888
    • Roulin, E.1    Vannitsem, S.2
  • 70
    • 65849492612 scopus 로고    scopus 로고
    • Comparison of methods used to generate probabilistic quantitative precipitation forecasts over South America
    • Ruiz, J., C. Saulo, and E. Kalnay, 2009: Comparison of methods used to generate probabilistic quantitative precipitation forecasts over South America. Wea. Forecasting, 24, 319-336, doi:10.1175/2008WAF2007098.1.
    • (2009) Wea. Forecasting , vol.24 , pp. 319-336
    • Ruiz, J.1    Saulo, C.2    Kalnay, E.3
  • 71
    • 84899478006 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation forecasting using ensemble Model Output Statistics
    • Scheuerer, M., 2014: Probabilistic quantitative precipitation forecasting using ensemble Model Output Statistics. Quart. J. Roy. Meteor. Soc., 140, 1086-1096, doi:10.1002/qj.2183.
    • (2014) Quart. J. Roy. Meteor. Soc , vol.140 , pp. 1086-1096
    • Scheuerer, M.1
  • 72
    • 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, doi:10.1175/2010MWR3285.1.
    • (2010) Mon. Wea. Rev , vol.138 , pp. 4199-4211
    • Schmeits, M.J.1    Kok, K.J.2
  • 73
    • 53649110282 scopus 로고    scopus 로고
    • Stationarity of regression relationships: Application to empirical downscaling
    • Schmith, T., 2008: Stationarity of regression relationships: Application to empirical downscaling. J. Climate, 21, 4529-4537, doi:10.1175/2008JCLI1910.1.
    • (2008) J. Climate , vol.21 , pp. 4529-4537
    • Schmith, T.1
  • 74
    • 0033065541 scopus 로고    scopus 로고
    • Characteristics of the western United States snowpack from snowpack telemetry (SNOTEL) data
    • Serreze, M. C., M. P. Clark, R. L. Armstrong, D. A. McGinnis, and R. S. Pulwarty, 1999: Characteristics of the western United States snowpack from snowpack telemetry (SNOTEL) data. Water Resour. Res., 35, 2145-2160, doi:10.1029/1999WR900090.
    • (1999) Water Resour. Res , vol.35 , pp. 2145-2160
    • Serreze, M.C.1    Clark, M.P.2    Armstrong, R.L.3    McGinnis, D.A.4    Pulwarty, R.S.5
  • 75
    • 34248354794 scopus 로고    scopus 로고
    • Probabilistic quantitative precipitation forecasting using Bayesian model averaging
    • Sloughter, J. M. L., A. E. Raftery, T. Gneiting, and C. Fraley, 2007: Probabilistic quantitative precipitation forecasting using Bayesian model averaging. Mon. Wea. Rev., 135, 3209-3220, doi:10.1175/MWR3441.1.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 3209-3220
    • Sloughter, J.M.L.1    Raftery, A.E.2    Gneiting, T.3    Fraley, C.4
  • 76
    • 0345330056 scopus 로고    scopus 로고
    • MOS-based precipitation forecasts for river basins
    • Sokol, Z., 2003: MOS-based precipitation forecasts for river basins. Wea. Forecasting, 18, 769-781, doi:10.1175/1520-0434(2003)018<0769:MPFFRB>2.0.CO;2.
    • (2003) Wea. Forecasting , vol.18 , pp. 769-781
    • Sokol, Z.1
  • 77
    • 33947269252 scopus 로고    scopus 로고
    • Reliable probabilistic quantitative precipitation forecasts from a short-range ensemble forecasting system
    • Stensrud, D. J., and N. Yussouf, 2007: Reliable probabilistic quantitative precipitation forecasts from a short-range ensemble forecasting system. Wea. Forecasting, 22, 3-17, doi:10.1175/WAF968.1.
    • (2007) Wea. Forecasting , vol.22 , pp. 3-17
    • Stensrud, D.J.1    Yussouf, N.2
  • 78
    • 84874680260 scopus 로고    scopus 로고
    • Reducing errors of wind speed forecasts by an optimal combination of post-processing methods
    • Sweeney, C. P., P. Lynch, and P. Nolan, 2013: Reducing errors of wind speed forecasts by an optimal combination of post-processing methods. Meteor. Appl., 20, 32-40, doi:10.1002/met.294.
    • (2013) Meteor. Appl , vol.20 , pp. 32-40
    • Sweeney, C.P.1    Lynch, P.2    Nolan, P.3
  • 79
    • 84875663443 scopus 로고    scopus 로고
    • Statistical downscaling of precipitation using quantile regression
    • Tareghian, R., and P. F. Rasmussen, 2013: Statistical downscaling of precipitation using quantile regression. J. Hydrol., 487, 122-135, doi:10.1016/j.jhydrol.2013.02.029.
    • (2013) J. Hydrol , vol.487 , pp. 122-135
    • Tareghian, R.1    Rasmussen, P.F.2
  • 80
    • 46749105418 scopus 로고    scopus 로고
    • Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization
    • Thompson, G., P. R. Field, R. M. Rasmussen, and W. D. Hall, 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Mon. Wea. Rev., 136, 5095-5115, doi:10.1175/2008MWR2387.1.
    • (2008) Mon. Wea. Rev , vol.136 , pp. 5095-5115
    • Thompson, G.1    Field, P.R.2    Rasmussen, R.M.3    Hall, W.D.4
  • 81
    • 84984410003 scopus 로고    scopus 로고
    • Bias correction and post-processing under climate change
    • Vannitsem, S., 2011: Bias correction and post-processing under climate change. Nonlinear Processes Geophys., 18, 911-924, doi:10.5194/npg-18-911-2011.
    • (2011) Nonlinear Processes Geophys , vol.18 , pp. 911-924
    • Vannitsem, S.1
  • 82
    • 84864539669 scopus 로고    scopus 로고
    • Hydrologic sensitivities of Colorado River runoff to changes in precipitation and temperature
    • Vano, J. A., T. Das, and D. P. Lettenmaier, 2012: Hydrologic sensitivities of Colorado River runoff to changes in precipitation and temperature. J. Hydrometeor., 13, 932-949, doi:10.1175/JHM-D-11-069.1.
    • (2012) J. Hydrometeor , vol.13 , pp. 932-949
    • Vano, J.A.1    Das, T.2    Lettenmaier, D.P.3
  • 83
    • 84896539574 scopus 로고    scopus 로고
    • Understanding uncertainties in future Colorado River streamflow
    • Vano, J. A., and Coauthors, 2014: Understanding uncertainties in future Colorado River streamflow.Bull. Amer.Meteor. Soc., 95, 59-78, doi:10.1175/BAMS-D-12-00228.1.
    • (2014) Bull. Amer.Meteor. Soc , vol.95 , pp. 59-78
    • Vano, J.A.1
  • 84
    • 79251520672 scopus 로고    scopus 로고
    • Estimation of predictive hydrological uncertainty using quantile regression: Examples from the National Flood Forecasting System (England and Wales)
    • Weerts, A. H., H. C. Winsemius, and J. S. Verkade, 2011: Estimation of predictive hydrological uncertainty using quantile regression: Examples from the National Flood Forecasting System (England and Wales). Hydrol. Earth Syst. Sci., 15, 255-265, doi:10.5194/hess-15-255-2011.
    • (2011) Hydrol. Earth Syst. Sci , vol.15 , pp. 255-265
    • Weerts, A.H.1    Winsemius, H.C.2    Verkade, J.S.3
  • 85
    • 33645749499 scopus 로고    scopus 로고
    • A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK
    • Wilby, R. L., and I. Harris, 2006: A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK. Water Resour. Res., 42, W02419, doi:10.1029/2005WR004065.
    • (2006) Water Resour. Res , vol.42
    • Wilby, R.L.1    Harris, I.2
  • 86
    • 33747806974 scopus 로고    scopus 로고
    • Comparison of ensemble-MOS methods in the Lorenz '96 setting
    • Wilks, D. S., 2006: Comparison of ensemble-MOS methods in the Lorenz '96 setting. Meteor. Appl., 13, 243-256, doi:10.1017/S1350482706002192.
    • (2006) Meteor. Appl , vol.13 , pp. 243-256
    • Wilks, D.S.1
  • 87
    • 70349414695 scopus 로고    scopus 로고
    • Extending logistic regression to provide full probability-distribution MOS forecasts
    • Wilks, D. S., 2009: Extending logistic regression to provide full probability-distribution MOS forecasts. Meteor. Appl., 16, 361-368, doi:10.1002/met.134.
    • (2009) Meteor. Appl , vol.16 , pp. 361-368
    • Wilks, D.S.1
  • 89
    • 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, doi:10.1175/MWR3402.1.
    • (2007) Mon. Wea. Rev , vol.135 , pp. 2379-2390
    • Wilks, D.S.1    Hamill, T.M.2
  • 90
    • 77949335209 scopus 로고    scopus 로고
    • The VGAM package for categorical data analysis
    • Yee, T. W., 2010: The VGAM package for categorical data analysis. J. Stat. Software, 32, 1-34.
    • (2010) J. Stat. Software , vol.32 , pp. 1-34
    • Yee, T.W.1


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