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Volumn 4, Issue 3, 2013, Pages 213-223

Ensemble modeling, uncertainty and robust predictions

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; DECISION MAKING; UNCERTAINTY ANALYSIS;

EID: 84876191818     PISSN: 17577780     EISSN: 17577799     Source Type: Journal    
DOI: 10.1002/wcc.220     Document Type: Article
Times cited : (157)

References (63)
  • 1
    • 0000241853 scopus 로고
    • Deterministic nonperiodic flow.
    • Lorenz EN. Deterministic nonperiodic flow. J Atmos Sci 1963, 20:130-141.
    • (1963) J Atmos Sci , vol.20 , pp. 130-141
    • Lorenz, E.N.1
  • 2
    • 0001036009 scopus 로고
    • Predictability of a 28-variable atmospheric model.
    • Lorenz EN. Predictability of a 28-variable atmospheric model. Tellus A 1965, 17:321-333.
    • (1965) Tellus A , vol.17 , pp. 321-333
    • Lorenz, E.N.1
  • 3
    • 0000630257 scopus 로고
    • Theoretical skill of Monte-Carlo forecasts.
    • Leith CE. Theoretical skill of Monte-Carlo forecasts. Month Weather Rev 1974, 102:409-418.
    • (1974) Month Weather Rev , vol.102 , pp. 409-418
    • Leith, C.E.1
  • 6
    • 84876191551 scopus 로고    scopus 로고
    • Environment Canada. Ensemble Forecasts. Available at:(Accessed August 20
    • Environment Canada. Ensemble Forecasts. Available at: http://www.weatheroffice.gc.ca/ensemble/verifs/model_e.html. (Accessed August 20, 2012).
    • (2012)
  • 7
    • 23144455758 scopus 로고    scopus 로고
    • Aspects of effective mesoscale, short-range ensemble forecasting.
    • Eckel FA, Mass C. Aspects of effective mesoscale, short-range ensemble forecasting. Weather Forecast 2005, 20:328-350.
    • (2005) Weather Forecast , vol.20 , pp. 328-350
    • Eckel, F.A.1    Mass, C.2
  • 8
    • 34447309549 scopus 로고    scopus 로고
    • Comparison of ensemble-MOS methods using GFS reforecasts.
    • Wilks DS, Hamill TM. Comparison of ensemble-MOS methods using GFS reforecasts. Monthly Weather Rev 2007, 135:2379-2390.
    • (2007) Monthly Weather Rev , vol.135 , pp. 2379-2390
    • Wilks, D.S.1    Hamill, T.M.2
  • 10
    • 0034143855 scopus 로고    scopus 로고
    • A comparison of surface air temperature variability in three 1000-year coupled ocean-atmosphere model integrations.
    • Stouffer RJ, Hegerl GC, Tett SFB. A comparison of surface air temperature variability in three 1000-year coupled ocean-atmosphere model integrations. J Clim 1999, 13:513-537.
    • (1999) J Clim , vol.13 , pp. 513-537
    • Stouffer, R.J.1    Hegerl, G.C.2    Tett, S.F.B.3
  • 14
    • 33748857157 scopus 로고    scopus 로고
    • Second phase of paleoclimate modelling intercomparison project.
    • Crucifix M, Braconnot P, Harrison SP, Otto-Bliesner B. Second phase of paleoclimate modelling intercomparison project. EOS 2005, 86:264.
    • (2005) EOS , vol.86 , pp. 264
    • Crucifix, M.1    Braconnot, P.2    Harrison, S.P.3    Otto-Bliesner, B.4
  • 17
    • 84860684669 scopus 로고    scopus 로고
    • An overview of CMIP5 and the experiment design.
    • doi:10.1175/BAMS-D-11-00094.1.
    • Taylor KE, Stouffer RJ, Meehl GA. An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 2012, 93:485-498. doi:10.1175/BAMS-D-11-00094.1.
    • (2012) Bull Am Meteorol Soc , vol.93 , pp. 485-498
    • Taylor, K.E.1    Stouffer, R.J.2    Meehl, G.A.3
  • 19
    • 0035919689 scopus 로고    scopus 로고
    • Interpretation of high projections for global-mean warming.
    • Wigley TML, Raper SCB. Interpretation of high projections for global-mean warming. Science 2001, 293:451-454.
    • (2001) Science , vol.293 , pp. 451-454
    • Wigley, T.M.L.1    Raper, S.C.B.2
  • 20
    • 0037016454 scopus 로고    scopus 로고
    • Quantifying uncertainties in climate system properties with the use of recent climate observations.
    • Forest CE, Stone PH, Sokolov AP, Allen MR, Webter MD. Quantifying uncertainties in climate system properties with the use of recent climate observations. Science 2002, 295:113-117.
    • (2002) Science , vol.295 , pp. 113-117
    • Forest, C.E.1    Stone, P.H.2    Sokolov, A.P.3    Allen, M.R.4    Webter, M.D.5
  • 21
    • 0037129209 scopus 로고    scopus 로고
    • Constraints on radiative forcing and future climate change from observations and climate model ensembles.
    • Knutti R, Stocker TF, Joos F, Plattner G-K. Constraints on radiative forcing and future climate change from observations and climate model ensembles. Nature 2002, 416:719-723.
    • (2002) Nature , vol.416 , pp. 719-723
    • Knutti, R.1    Stocker, T.F.2    Joos, F.3    Plattner, G.-K.4
  • 22
    • 13444269104 scopus 로고    scopus 로고
    • Uncertainty in predictions of the climate response to rising levels of greenhouse gases.
    • Stainforth DA, Aina T, Christensen C, Collins M, Faull N, Frame DJ. Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature 2005, 433:403-406.
    • (2005) Nature , vol.433 , pp. 403-406
    • Stainforth, D.A.1    Aina, T.2    Christensen, C.3    Collins, M.4    Faull, N.5    Frame, D.J.6
  • 27
    • 84861799351 scopus 로고    scopus 로고
    • Multivariate probabilistic climate prediction using imperfect climate models part I: outline of methodology.
    • doi:10.1007/s00382-011-1208-9.
    • Sexton DM, Murphy JM, Collins M, Webb MJ. Multivariate probabilistic climate prediction using imperfect climate models part I: outline of methodology. Clim Dyn 2012, 38:2513-2542. doi:10.1007/s00382-011-1208-9.
    • (2012) Clim Dyn , vol.38 , pp. 2513-2542
    • Sexton, D.M.1    Murphy, J.M.2    Collins, M.3    Webb, M.J.4
  • 28
    • 84876166289 scopus 로고    scopus 로고
    • Program for Climate Model Diagnosis and Intercomparison (PCMDI). CMIP5 - Data Access - Availability. Available at: (Accessed February 22
    • Program for Climate Model Diagnosis and Intercomparison (PCMDI). CMIP5 - Data Access - Availability. Available at: http://cmip-pcmdi.llnl.gov/cmip5/availability.html. (Accessed February 22, 2013).
    • (2013)
  • 29
    • 84856237422 scopus 로고    scopus 로고
    • Uncertainty in climate change projections: the role of internal variability.
    • Deser C, Phillips A, Bourdette V, Teng H. Uncertainty in climate change projections: the role of internal variability. Clim Dyn 2012, 38:527-546.
    • (2012) Clim Dyn , vol.38 , pp. 527-546
    • Deser, C.1    Phillips, A.2    Bourdette, V.3    Teng, H.4
  • 30
    • 83455213186 scopus 로고    scopus 로고
    • Mapping model agreement on future climate projections.
    • L23701, doi:10.1029/2011GL049863.
    • Tebaldi C, Arblaster JM, Knutti R. Mapping model agreement on future climate projections. Geophys Res Lett 2011, 38:L23701. doi:10.1029/2011GL049863.
    • (2011) Geophys Res Lett , vol.38
    • Tebaldi, C.1    Arblaster, J.M.2    Knutti, R.3
  • 31
    • 0001823409 scopus 로고    scopus 로고
    • Disentangling uncertainty and error: on the predictability of nonlinear systems.
    • ed. Birkhauser;
    • Smith LA. Disentangling uncertainty and error: on the predictability of nonlinear systems. In: Mees A, ed. Nonlinear Dynamics and Statistics. Birkhauser; 2000, 31-64.
    • (2000) Nonlinear Dynamics and Statistics. , pp. 31-64
    • Smith, L.A.1    Mees, A.2
  • 32
    • 79251509598 scopus 로고    scopus 로고
    • Whose probabilities? Predicting climate change with ensembles of models.
    • Parker WS. Whose probabilities? Predicting climate change with ensembles of models. Phil Sci 2010, 77:985-997.
    • (2010) Phil Sci , vol.77 , pp. 985-997
    • Parker, W.S.1
  • 34
    • 34547177691 scopus 로고    scopus 로고
    • The use of the multi-model ensemble in probabilistic climate projections.
    • Tebaldi C, Knutti R. The use of the multi-model ensemble in probabilistic climate projections. Phil Trans R Soc A 2007, 365:2053-2075.
    • (2007) Phil Trans R Soc A , vol.365 , pp. 2053-2075
    • Tebaldi, C.1    Knutti, R.2
  • 35
    • 34547225982 scopus 로고    scopus 로고
    • Ensembles and probabilities: a new era in the prediction of climate change.
    • Collins M. Ensembles and probabilities: a new era in the prediction of climate change. Phil Trans R Soc A 2007, 365:1957-1970.
    • (2007) Phil Trans R Soc A , vol.365 , pp. 1957-1970
    • Collins, M.1
  • 36
    • 0035428537 scopus 로고    scopus 로고
    • A probability and decision-model analysis of a multimodel ensemble of climate change simulations.
    • doi:10.1175/1520-0442.
    • Räisänen J, Palmer TN. A probability and decision-model analysis of a multimodel ensemble of climate change simulations. J Clim 2001, 14:3212-3226. doi:10.1175/1520-0442.
    • (2001) J Clim , vol.14 , pp. 3212-3226
    • Räisänen, J.1    Palmer, T.N.2
  • 37
    • 0348044464 scopus 로고    scopus 로고
    • Probability of regional climate change based on the reliability ensemble averaging (REA) method.
    • doi:10.1029/2003GL017130.
    • Giorgi F, Mearns LO. Probability of regional climate change based on the reliability ensemble averaging (REA) method. Geophys Res Lett 2003, 30:1629. doi:10.1029/2003GL017130.
    • (2003) Geophys Res Lett , vol.30 , pp. 1629
    • Giorgi, F.1    Mearns, L.O.2
  • 38
    • 0142230508 scopus 로고    scopus 로고
    • Probabilistic climate change projections using neural networks.
    • doi:10.1007/s00382-003-0345-1.
    • Knutti R, Stocker TF, Joos F, Plattner G-K. Probabilistic climate change projections using neural networks. Clim Dyn 2003, 21:257-272. doi:10.1007/s00382-003-0345-1.
    • (2003) Clim Dyn , vol.21 , pp. 257-272
    • Knutti, R.1    Stocker, T.F.2    Joos, F.3    Plattner, G.-K.4
  • 39
    • 4043124611 scopus 로고    scopus 로고
    • Quantification of modelling uncertainties in a large ensemble of climate change simulations.
    • doi:10.1038/nature02771.
    • Murphy JM, Sexton DMH, Barnett DN, Jones GS, Webb MJ, Collins M, Stainforth DA. Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature 2004, 429:768-772. doi:10.1038/nature02771.
    • (2004) Nature , vol.429 , pp. 768-772
    • Murphy, J.M.1    Sexton, D.M.H.2    Barnett, D.N.3    Jones, G.S.4    Webb, M.J.5    Collins, M.6    Stainforth, D.A.7
  • 40
    • 14544276393 scopus 로고    scopus 로고
    • Regional probabilities of precipitation change: a Bayesian analysis of multimodel simulations.
    • doi:10.1029/2004GL021276.
    • Tebaldi C, Mearns LO, Nychka D, Smith R. Regional probabilities of precipitation change: a Bayesian analysis of multimodel simulations. Geophys Res Lett 2004, 31:L24213. doi:10.1029/2004GL021276.
    • (2004) Geophys Res Lett , vol.31
    • Tebaldi, C.1    Mearns, L.O.2    Nychka, D.3    Smith, R.4
  • 42
    • 33749069924 scopus 로고    scopus 로고
    • Probabilistic multimodel regional temperature change projections.
    • doi:10.1175/JCLI3864.1.
    • Greene A, Goddard L, Lall U. Probabilistic multimodel regional temperature change projections. J Clim 2006, 19:4326-4343. doi:10.1175/JCLI3864.1.
    • (2006) J Clim , vol.19 , pp. 4326-4343
    • Greene, A.1    Goddard, L.2    Lall, U.3
  • 43
    • 33745684205 scopus 로고    scopus 로고
    • Frequency distributions of transient regional climate change from perturbed physics ensembles of general circulation model simulations.
    • Harris G, Sexton D, Booth B, Collins M, Murphy J, Webb M. Frequency distributions of transient regional climate change from perturbed physics ensembles of general circulation model simulations. Clim Dyn 2006, 27:357-375.
    • (2006) Clim Dyn , vol.27 , pp. 357-375
    • Harris, G.1    Sexton, D.2    Booth, B.3    Collins, M.4    Murphy, J.5    Webb, M.6
  • 45
    • 34249874205 scopus 로고    scopus 로고
    • Multivariate Bayesian analysis of atmosphere-ocean general circulation models.
    • doi:10.1007/s10651-007-0018-z.
    • Furrer R, Sain SR, Nychka D, Meehl GA. Multivariate Bayesian analysis of atmosphere-ocean general circulation models. Environ Ecol Stat 2007, 14:249-266. doi:10.1007/s10651-007-0018-z.
    • (2007) Environ Ecol Stat , vol.14 , pp. 249-266
    • Furrer, R.1    Sain, S.R.2    Nychka, D.3    Meehl, G.A.4
  • 46
    • 77954130638 scopus 로고    scopus 로고
    • Upgrades to the reliability ensemble averaging method for producing probabilistic climate-change projections.
    • Xu Y, Xuejie G, Giorgi F. Upgrades to the reliability ensemble averaging method for producing probabilistic climate-change projections. Clim Res 2010, 41:61-81.
    • (2010) Clim Res , vol.41 , pp. 61-81
    • Xu, Y.1    Xuejie, G.2    Giorgi, F.3
  • 47
    • 14944383742 scopus 로고    scopus 로고
    • Representing and communicating deep uncertainty in climate change assessments.
    • Kandlikar M, Risbey J, Dessai S. Representing and communicating deep uncertainty in climate change assessments. Comp Rendus Geosci 2005, 337:443-455.
    • (2005) Comp Rendus Geosci , vol.337 , pp. 443-455
    • Kandlikar, M.1    Risbey, J.2    Dessai, S.3
  • 48
    • 84875747385 scopus 로고    scopus 로고
    • Robustness and uncertainties in the new CMIP5 climate model projections.
    • doi:10.1038/nclimate1716.
    • Knutti R, Sedláček J. Robustness and uncertainties in the new CMIP5 climate model projections. Nat Clim Chan 2012, 3:369-373. doi:10.1038/nclimate1716.
    • (2012) Nat Clim Chan , vol.3 , pp. 369-373
    • Knutti, R.1    Sedláček, J.2
  • 49
    • 80053066374 scopus 로고    scopus 로고
    • When climate models agree: the significance of robust model predictions.
    • Parker WS. When climate models agree: the significance of robust model predictions. Phil Sci 2011, 78:579-600.
    • (2011) Phil Sci , vol.78 , pp. 579-600
    • Parker, W.S.1
  • 50
    • 52949115123 scopus 로고    scopus 로고
    • Spatial analysis to quantify numerical model bias and dependence: how many climate models are there?
    • doi:10.1198/016214507000001265.
    • Jun M, Knutti R, Nychka DW. Spatial analysis to quantify numerical model bias and dependence: how many climate models are there? J Am Stat Assoc 2008, 103:934-947. doi:10.1198/016214507000001265.
    • (2008) J Am Stat Assoc , vol.103 , pp. 934-947
    • Jun, M.1    Knutti, R.2    Nychka, D.W.3
  • 51
    • 52949114242 scopus 로고    scopus 로고
    • Local eigenvalue analysis of CMIP3 climate model errors.
    • doi:10.1111/j1600-0870.2008.00356.x.
    • Jun M, Knutti R, Nychka DW. Local eigenvalue analysis of CMIP3 climate model errors. Tellus 2008, 60:992-1000. doi:10.1111/j1600-0870.2008.00356.x.
    • (2008) Tellus , vol.60 , pp. 992-1000
    • Jun, M.1    Knutti, R.2    Nychka, D.W.3
  • 52
    • 77954370030 scopus 로고    scopus 로고
    • Challenges in combining projections from multiple climate models.
    • Knutti R, Furrer R, Tebaldi C, Cermak J, Meehl GA. Challenges in combining projections from multiple climate models. J Clim 2010, 23:2739-2758.
    • (2010) J Clim , vol.23 , pp. 2739-2758
    • Knutti, R.1    Furrer, R.2    Tebaldi, C.3    Cermak, J.4    Meehl, G.A.5
  • 53
    • 79955369900 scopus 로고    scopus 로고
    • On the effective number of climate models.
    • doi:10.1175/ 2010JCLI3814.1.
    • Pennell T, Reichler C. On the effective number of climate models. J Clim 2011, doi:10.1175/ 2010JCLI3814.1.
    • (2011) J Clim
    • Pennell, T.1    Reichler, C.2
  • 54
    • 79955433638 scopus 로고    scopus 로고
    • Climate model genealogy.
    • L08703, doi:10.1029/ 2011GL046864.
    • Masson D, Knutti R. Climate model genealogy. Geophys Res Lett 2011, 38:L08703. doi:10.1029/ 2011GL046864.
    • (2011) Geophys Res Lett , vol.38
    • Masson, D.1    Knutti, R.2
  • 55
    • 77957165673 scopus 로고    scopus 로고
    • The end of model democracy?
    • doi:10.1007/s10584-010-9800-2.
    • Knutti R. The end of model democracy? Clim Change 2010, 102:395-404. doi:10.1007/s10584-010-9800-2.
    • (2010) Clim Change , vol.102 , pp. 395-404
    • Knutti, R.1
  • 56
    • 34547165887 scopus 로고    scopus 로고
    • Confidence, uncertainty and decision-support relevance in climate prediction.
    • Stainforth DA, Allen MR, Tredger ER, Smith LA. Confidence, uncertainty and decision-support relevance in climate prediction. Phil Trans R Soc A 2007, 365:2145-2161.
    • (2007) Phil Trans R Soc A , vol.365 , pp. 2145-2161
    • Stainforth, D.A.1    Allen, M.R.2    Tredger, E.R.3    Smith, L.A.4
  • 58
    • 33847615314 scopus 로고    scopus 로고
    • Probabilistic inference for future climate using an ensemble of climate model evaluations.
    • Rougier J. Probabilistic inference for future climate using an ensemble of climate model evaluations. Clim Change 2007, 81:247-264.
    • (2007) Clim Change , vol.81 , pp. 247-264
    • Rougier, J.1
  • 60
    • 49249113376 scopus 로고    scopus 로고
    • Performance metrics for climate models.
    • D06104, doi:10.1029/2007JD008972.
    • Gleckler PJ, Taylor KE, Doutriaux C. Performance metrics for climate models. J Geophys Res 2008, 113:D06104. doi:10.1029/2007JD008972.
    • (2008) J Geophys Res , vol.113
    • Gleckler, P.J.1    Taylor, K.E.2    Doutriaux, C.3
  • 61
    • 77955603386 scopus 로고    scopus 로고
    • Risks of model weighting in multimodel climate projections.
    • Weigel A, Knutti R, Liniger MA, Appenzeller C. Risks of model weighting in multimodel climate projections. J Clim 2010, 23:4175-4191.
    • (2010) J Clim , vol.23 , pp. 4175-4191
    • Weigel, A.1    Knutti, R.2    Liniger, M.A.3    Appenzeller, C.4
  • 62
    • 70450173156 scopus 로고    scopus 로고
    • The potential to narrow uncertainty in regional climate predictions.
    • doi:10.1175/2009BAMS2607.1.
    • Hawkins E, Sutton R. The potential to narrow uncertainty in regional climate predictions. Bull Am Meteorol Soc 2009. doi:10.1175/2009BAMS2607.1.
    • (2009) Bull Am Meteorol Soc
    • Hawkins, E.1    Sutton, R.2


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