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Volumn 24, Issue 11, 2011, Pages 2680-2692

Spatial-scale dependence of climate model performance in the CMIP3 ensemble

Author keywords

Anthropogenic effects; Climate change; Climate models; Model evaluation performance; Precipitation; Surface temperature

Indexed keywords

ANNUAL MEAN; ANTHROPOGENIC ACTIVITY; ANTHROPOGENIC EFFECTS; CLIMATE PROJECTION; CLIMATE SIGNALS; CONTROL ERRORS; GLOBAL CLIMATE MODEL; GLOBAL ERRORS; GLOBAL TEMPERATURES; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGES; MEAN TEMPERATURE; MODEL ERRORS; MODEL EVALUATION; MODEL EVALUATION/PERFORMANCE; MODEL PERFORMANCE; MODEL RESOLUTION; REGIONAL FEATURE; SMALL-SCALE FEATURES; SPATIAL SCALE; SPATIAL SMOOTHING; SURFACE AIR TEMPERATURES; SURFACE TEMPERATURE; TEMPERATURE OBSERVATIONS;

EID: 79953803365     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2011JCLI3513.1     Document Type: Article
Times cited : (83)

References (38)
  • 1
    • 0842334547 scopus 로고    scopus 로고
    • The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present)
    • Adler, R. F., and Coauthors, 2003: The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). J. Hydrometeor., 4, 1147-1167.
    • (2003) J. Hydrometeor. , vol.4 , pp. 1147-1167
    • Adler, R.F.1
  • 2
    • 20444475291 scopus 로고    scopus 로고
    • Detecting and attributing external influences on the climate system A review of recent advances
    • Barnett, T., and Coauthors, 2005: Detecting and attributing external influences on the climate system: A review of recent advances. J. Climate, 18, 1291-1314.
    • (2005) J. Climate , vol.18 , pp. 1291-1314
    • Barnett, T.1
  • 3
    • 67649205570 scopus 로고    scopus 로고
    • September sea-ice cover in the Arctic Ocean projected to vanish by 2100
    • Boé, J. L., A. Hall, and X. Qu, 2009: September sea-ice cover in the Arctic Ocean projected to vanish by 2100. Nat. Geosci., 2, 341-343.
    • (2009) Nat. Geosci. , vol.2 , pp. 341-343
    • Boé, J.L.1    Hall, A.2    Qu, X.3
  • 4
    • 77954854676 scopus 로고    scopus 로고
    • Bayesian multi-model projection of climate Bias assumptions and interannual variability
    • doi:10.1007/s00382-009-0588-6
    • Buser, C., H. Künsch, D. Lüthi, M. Wild, and C. Schär, 2009: Bayesian multi-model projection of climate: Bias assumptions and interannual variability. Climate Dyn., 33, 849-868, doi:10.1007/s00382-009-0588-6.
    • (2009) Climate Dyn , vol.33 , pp. 849-868
    • Buser, C.1    Künsch, H.2    Lüthi, D.3    Wild, M.4    Schär, C.5
  • 5
    • 35348998346 scopus 로고    scopus 로고
    • Regional climate projections
    • S. Solomon et al., Eds., Cambridge University Press
    • Christensen, J., and Coauthors, 2007: Regional climate projections. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 847-940.
    • (2007) Climate Change 2007 The Physical Science Basis , pp. 847-940
    • Christensen, J.1
  • 6
    • 0034035579 scopus 로고    scopus 로고
    • Uncertainties in regional climate change prediction A regional analysis of ensemble simulations with the HADCM2 coupled AOGCM
    • Giorgi, F., and R. Francisco, 2000: Uncertainties in regional climate change prediction: A regional analysis of ensemble simulations with the HADCM2 coupled AOGCM. Climate Dyn., 16, 169-182.
    • (2000) Climate Dyn , vol.16 , pp. 169-182
    • Giorgi, F.1    Francisco, R.2
  • 7
    • 0037092719 scopus 로고    scopus 로고
    • Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the Reliability Ensemble Averaging (REA) method
    • Giorgi, F., and L. O. Mearns, 2002: Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the Reliability Ensemble Averaging (REA) method. J. Climate, 15, 1141-1158.
    • (2002) J. Climate , vol.15 , pp. 1141-1158
    • Giorgi, F.1    Mearns, L.O.2
  • 8
    • 0348044464 scopus 로고    scopus 로고
    • Probability of regional climate change based on the Reliability Ensemble Averaging (REA) method
    • doi:10.1029/2003GL017130
    • Giorgi, F., and L. O. Mearns, 2003: Probability of regional climate change based on the Reliability Ensemble Averaging (REA) method. Geophys. Res. Lett., 30, 1629, doi:10.1029/2003GL017130.
    • (2003) Geophys. Res. Lett. , vol.30
    • Giorgi, F.1    Mearns, L.O.2
  • 9
    • 59749091161 scopus 로고    scopus 로고
    • Transient climate response estimated from radiative forcing and observed temperature change
    • doi:10.1029/2008JD010405
    • Gregory, J. M., and P. M. Forster, 2008: Transient climate response estimated from radiative forcing and observed temperature change. J. Geophys. Res., 113, D23105, doi:10.1029/2008JD010405.
    • (2008) J. Geophys. Res. , vol.113
    • Gregory, J.M.1    Forster, P.M.2
  • 10
    • 52949115123 scopus 로고    scopus 로고
    • Spatial analysis to quantify numerical model bias and dependence How many climate models are there?
    • Jun, M., R. Knutti, and D. W. Nychka, 2008: Spatial analysis to quantify numerical model bias and dependence: How many climate models are there? J. Amer. Stat. Assoc., 103, 934-947.
    • (2008) J. Amer. Stat. Assoc. , vol.103 , pp. 934-947
    • Jun, M.1    Knutti, R.2    Nychka, D.W.3
  • 11
    • 55849135780 scopus 로고    scopus 로고
    • Should we believe model predictions of future climate change?
    • Knutti, R., 2008a: Should we believe model predictions of future climate change? Philos. Trans. Roy. Soc., A366, 4647- 4664.
    • (2008) Philos. Trans. Roy. Soc. , vol.A366 , pp. 4647-4664
    • Knutti, R.1
  • 12
    • 55849085902 scopus 로고    scopus 로고
    • Why are climate models reproducing the observed global surface warming so well?
    • doi:10.1029/2008GL034932
    • Knutti, R., 2008b: Why are climate models reproducing the observed global surface warming so well? Geophys. Res. Lett., 35, L18704, doi:10.1029/2008GL034932.
    • (2008) Geophys. Res. Lett. , vol.35
    • Knutti, R.1
  • 13
    • 77957165673 scopus 로고    scopus 로고
    • The end of model democracy?
    • doi:10.1007/s10584-010-9800-2
    • Knutti, R., 2010: The end of model democracy? Climatic Change, 102, 395-404, doi:10.1007/s10584-010-9800-2.
    • (2010) Climatic Change , vol.102 , pp. 395-404
    • Knutti, R.1
  • 14
    • 33645822120 scopus 로고    scopus 로고
    • Constraining climate sensitivity from the seasonal cycle in surface temperature
    • Knutti, R., G. A. Meehl, M. R. Allen, and D. A. Stainforth, 2006: Constraining climate sensitivity from the seasonal cycle in surface temperature. J. Climate, 19, 4224-4233.
    • (2006) J. Climate , vol.19 , pp. 4224-4233
    • Knutti, R.1    Meehl, G.A.2    Allen, M.R.3    Stainforth, D.A.4
  • 15
    • 48549085677 scopus 로고    scopus 로고
    • A review of uncertainties in global temperature projections over the twenty-first century
    • Knutti, R., and Coauthors, 2008: A review of uncertainties in global temperature projections over the twenty-first century. J. Climate, 21, 2651-2663.
    • (2008) J. Climate , vol.21 , pp. 2651-2663
    • Knutti, R.1
  • 16
    • 79959365898 scopus 로고    scopus 로고
    • Meeting Report of the Intergovernmental Panel on Climate Change Expert Meeting on Assessing and Combining Multi Model Climate Projections, Stocker et al., Eds., IPCC Working Group I Technical Support Unit, 13 pp. [Available online at
    • Knutti, R., G. Abramowitz, M. Collins, V. Eyring, P. J. Gleckler, B. Hewitson, and L. Mearns, 2010a: Good practice guidance paper on assessing and combining multimodel climate projections. Meeting Report of the Intergovernmental Panel on Climate Change Expert Meeting on Assessing and Combining Multi Model Climate Projections, Stocker et al., Eds., IPCC Working Group I Technical Support Unit, 13 pp. [Available online at https://www.ipcc-wg1.unibe.ch/guidancepaper/IPCC_EM_MME_GoodPracticeGuidancePaper.pdf.]
    • (2010) Good practice guidance paper on assessing and combining multimodel climate projections
    • Knutti, R.1    Abramowitz, G.2    Collins, M.3    Eyring, V.4    Gleckler, P.J.5    Hewitson, B.6    Mearns, L.7
  • 17
    • 77954370030 scopus 로고    scopus 로고
    • Challenges in combining projections from multiple climate models
    • Knutti, R., R. Furrer, C. Tebaldi, and J. Cermak, 2010b: Challenges in combining projections from multiple climate models. J. Climate, 23, 2739-2758.
    • (2010) J. Climate , vol.23 , pp. 2739-2758
    • Knutti, R.1    Furrer, R.2    Tebaldi, C.3    Cermak, J.4
  • 18
    • 77956095204 scopus 로고    scopus 로고
    • Regional climate change patterns identified by cluster analysis
    • doi:10.1007/s00382-009-0654-0
    • Mahlstein, I., and R. Knutti, 2009: Regional climate change patterns identified by cluster analysis. Climate Dyn., 35, 587-600, doi:10.1007/s00382-009-0654-0.
    • (2009) Climate Dyn , vol.35 , pp. 587-600
    • Mahlstein, I.1    Knutti, R.2
  • 22
    • 4043124611 scopus 로고    scopus 로고
    • Quantification of modelling uncertainties in a large ensemble of climate change simulations
    • Murphy, J. M., D. M. H. Sexton, D. N. Barnett, G. S. Jones, M. J. Webb, and M. Collins, 2004: Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature, 430, 768-772.
    • (2004) Nature , vol.430 , 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
  • 24
    • 0035325007 scopus 로고    scopus 로고
    • 2-induced climate change in CMIP2 experiments Quantification of agreement and role of internal variability
    • 2-induced climate change in CMIP2 experiments: Quantification of agreement and role of internal variability. J. Climate, 14, 2088-2104.
    • (2001) J. Climate , vol.14 , pp. 2088-2104
    • Räisänen, J.1
  • 25
    • 33846282669 scopus 로고    scopus 로고
    • How reliable are climate models?
    • Nakicenovic, N., 2007: How reliable are climate models? Tellus, 59A, 2-29.
    • (2007) Tellus , vol.59 A , pp. 2-29
    • Nakicenovic, N.1
  • 27
    • 43449087894 scopus 로고    scopus 로고
    • How well do coupled models simulate today's climate?
    • Reichler, T., and J. Kim, 2008: How well do coupled models simulate today's climate? Bull. Amer. Meteor. Soc., 89, 303-311.
    • (2008) Bull. Amer. Meteor. Soc. , vol.89 , pp. 303-311
    • Reichler, T.1    Kim, J.2
  • 28
    • 70349284537 scopus 로고    scopus 로고
    • Incorporating model quality information in climate change detection and attribution studies
    • Santer, B. D., and Coauthors, 2009: Incorporating model quality information in climate change detection and attribution studies. Proc. Natl. Acad. Sci. USA, 106, 14 778-14 783.
    • (2009) Proc. Natl. Acad. Sci. USA , vol.106
    • Santer, B.D.1
  • 29
    • 34547165887 scopus 로고    scopus 로고
    • Confidence, uncertainty and decision-support relevance in climate predictions
    • Stainforth, D.A., M. R. Allen, E. R. Tredger, and L.A. Smith, 2007: Confidence, uncertainty and decision-support relevance in climate predictions. Philos. Trans. Roy. Soc., A365, 2145-2161.
    • (2007) Philos. Trans. Roy. Soc. , vol.A365 , pp. 2145-2161
    • Stainforth, D.A.1    Allen, M.R.2    Tredger, E.R.3    Smith, L.A.4
  • 30
    • 0037129227 scopus 로고    scopus 로고
    • Origins and estimates of uncertainty in predictions of twenty-first century temperature rise
    • Stott, P. A., and J. A. Kettleborough, 2002: Origins and estimates of uncertainty in predictions of twenty-first century temperature rise. Nature, 416, 723-726.
    • (2002) Nature , vol.416 , pp. 723-726
    • Stott, P.A.1    Kettleborough, J.A.2
  • 31
    • 34547177691 scopus 로고    scopus 로고
    • The use of the multi-model ensemble in probabilistic climate projections
    • Tebaldi, C., and R. Knutti, 2007: The use of the multi-model ensemble in probabilistic climate projections. Philos. Trans. Roy. Soc., A365, 2053-2075.
    • (2007) Philos. Trans. Roy. Soc. , vol.A365 , pp. 2053-2075
    • Tebaldi, C.1    Knutti, R.2
  • 32
    • 14544287376 scopus 로고    scopus 로고
    • Quantifying uncertainty in projections of regional climate change A Bayesian approach to the analysis of multimodel ensembles
    • Tebaldi, C., R. L. Smith, D. Nychka, and L. O. Mearns, 2005: Quantifying uncertainty in projections of regional climate change: A Bayesian approach to the analysis of multimodel ensembles. J. Climate, 18, 1524-1540.
    • (2005) J. Climate , vol.18 , pp. 1524-1540
    • Tebaldi, C.1    Smith, R.L.2    Nychka, D.3    Mearns, L.O.4
  • 33
    • 27144554835 scopus 로고    scopus 로고
    • The ERA-40 Re-Analysis
    • Uppala, S. M., and Coauthors, 2005: The ERA-40 Re-Analysis. Quart. J. Roy. Meteor. Soc., 131, 2961-3012.
    • (2005) Quart. J. Roy. Meteor. Soc. , vol.131 , pp. 2961-3012
    • Uppala, S.M.1
  • 37
    • 0031403103 scopus 로고    scopus 로고
    • Global precipitation A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs
    • Xie, P. P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539-2558.
    • (1997) Bull. Amer. Meteor. Soc. , vol.78 , pp. 2539-2558
    • Xie, P.P.1    Arkin, P.A.2


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