Quantification of uncertainty in high-resolution temperature scenarios for North America

Journal of Climate

Volumn 25, Issue 9, 2012, Pages 3373-3389

  Li, Guilong ^a   Zhang, Xuebin ^a   Zwiers, Francis ^b   Wen, Qiuzi H ^c  

^a ENVIRONMENT CANADA   (Canada)

^b Pacific Climate Impacts Consortium   (Canada)

^c INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

Climate change; Ensembles; Regional models; Regression analysis; Surface temperature

Indexed keywords

DOWN-SCALING; EMISSION SCENARIO; ENSEMBLES; GENERAL CIRCULATION MODEL; HIGH RESOLUTION; INTERNAL VARIABILITY; MEAN TEMPERATURE; MEDIAN VALUE; MODELING ERRORS; PROBABILISTIC PROJECTIONS; REGIONAL CLIMATE MODELS; REGIONAL MODEL; SMALL SCALE; SPATIAL SCALE; SPATIAL VARIABILITY; SPECIAL REPORT ON EMISSIONS SCENARIOS; STATISTICAL DOWNSCALING; STATISTICAL RELATIONSHIP; STRUCTURAL ERRORS; SUMMER TEMPERATURE; SURFACE TEMPERATURES; TEMPERATURE CHANGES; TOTAL VARIANCE;

CLIMATE MODELS; ERRORS; REGRESSION ANALYSIS;

CLIMATE CHANGE;

AIR TEMPERATURE; CLIMATE CHANGE; CLIMATE MODELING; DOWNSCALING; ENSEMBLE FORECASTING; GENERAL CIRCULATION MODEL; REGIONAL CLIMATE; REGRESSION ANALYSIS; SPATIAL VARIATION; SURFACE TEMPERATURE; UNCERTAINTY ANALYSIS;

UNITED STATES;

EID: 84862097090     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00217.1     Document Type: Article

References (33)

1. Alexandru, A., R. D. Elia, R. Laprise, L. Separovic, and S. Biner, 2009: Sensitivity study of regional climate model simulations to large-scale nudging parameters. Mon. Wea. Rev., 137, 1666-1686.
2. Barnett, T. P., and Coauthors, 2008: Human-induced changes in the hydrology of the western United States. Science, 319, 1080-1083, doi:10.1126/science.1152538.
3. Carter, T. R., and Coauthors, 2007: New assessment methods and the characterisation of future conditions. Climate Change 2007: Impacts, Adaptation and Vulnerability, M. L. Parry et al., Eds., Cambridge University Press, 133-171.
4. Chandler, R. E., 2005: On the use of generalized linear models for interpreting climate variability. Environmentrics, 16, 699-715, doi:10.1002/env.731.
5. Daly, C., R. P. Neilson, and D. L. Phillips, 1994: A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158.
6. Déqué, M., and Coauthors, 2006: An intercomparison of regional climate simulations for Europe: Assessing uncertainties in model projections. Climatic Change, 81, 53-70, doi:10.1007/s10584-006-9228-x.
7. Field, C. B., L. D. Mortsch, M. Brklacich, D. L. Forbes, P. Kovacs, J.A. Patz, S.W.Running, and M. J. Scott, 2007:NorthAmerica. Climate Change 2007: Impacts, Adaptation and Vulnerability, M. L. Parry et al., Eds., Cambridge University Press, 617-652.
8. Furrer, R., R. Knutti, S. R. Sain, D. W. Nychka, and G. A. Meehl, 2007: Spatial patterns of probabilistic temperature change projections from a multivariate Bayesian analysis. Geophys. Res. Lett., 34, L06711, doi:10.1029/2006GL027754.
9. Gillett, N. P., F. W. Zwiers, A. J. Weaver, and P. A. Stott, 2003: Detection of human influence on sea level pressure. Nature, 422, 292-294.
10. Gillett, N. P., V. K. Arora, K. Zickfeld, S. J. Marshall, and W. Merryfield, 2011: Ongoing climate change following a complete cessation of carbon dioxide emissions. Nat.Geosci., 4, 83-87, doi:10.1038/ngeo1047.
11. Hamann, A., and T. Wang, 2005: Models of climatic normals for genecology and climate change studies in British Columbia. Agric. For. Meteor., 128, 211-221.
12. Kaufman, C. G., and S. R. Sain, 2010: Bayesian functional ANOVA modeling using Gaussian process prior distributions. Bayesian Anal., 5, 123-150, doi:10.1214/10-BA505.
13. Laprise, R., 2008: Regional climate modelling. J. Comput. Phys., 227, 3641-3666.
14. Matthews, H. D., and K. Caldeira, 2008: Stabilizing climate requires near-zero emissions. Geophys. Res. Lett., 35, L04705, doi:10.1029/2007GL032388.
15. Maurer, E. P., L. Brekke, T. Pruitt, and P. B. Duffy, 2007: Fineresolution climate projections enhance regional climate change impact studies. Eos, Trans.Amer.Geophys.Union, 88 (47), 504, doi:10.1029/2007EO470006.
16. Mearns, L. O., W. J. Gutowski, R. Jones, L.-Y. Leung, S. McGinnis, A. M. B. Nunes, and Y. Qian, 2009: A regional climate change assessment program for North America. Eos, Trans. Amer. Geophys. Union, 90, 311-312, doi:10.1029/2009EO360002.
17. Min, S.-K., X. Zhang, F. W. Zwiers, and G. C. Hegerl, 2011: Human contribution to more intense precipitation extremes. Nature, 470, 378-381, doi:10.1038/nature09763.
18. Murphy, J.M., and Coauthors, cited 2010: U.K. Climate Projections Science Report: Climate change projections. Met Office Hadley Centre, Exeter, United Kingdom. [Available online at http://ukclimateprojections.defra.gov.uk/content/view/944/517.]
19. Neter, J., W. Wasserman, and M. H. Kutner, 1985: Applied Linear Statistical Models. Richard D. Irwin, Inc., 1127 pp.
20. North, G. R., J. Wang, and M. C. Genton, 2011: Correlation models for temperature fields. J. Climate, 24, 5968-5997.
21. Rougier, J., 2008: Comment on article by Sanso et al. Bayesian Anal., 3, 45-56.
22. Santer, B. D., and Coauthors, 2007: Identification of human-induced changes in atmosphericmoisture content. Proc. Natl. Acad. Sci. USA, 104, 15 248-15 253, doi:10.1073/pnas.0702872104.
23. Shen, S., P. Dzikowski, G. Li, and D. Griffith, 2001: Interpolation of 1961-97 daily temperature and precipitation data onto Alberta polygons of ecodistrict and soil landscapes of Canada. J. Appl. Meteor., 40, 2162-2177.
24. Solomon, S., D. Qin, M. Manning, M. Marquis, K. Averyt, M.M. B. Tignor, H. L. Miller Jr., and Z. Chen, Eds., 2007: Climate Change 2007: The Physical ScienceBasis. CambridgeUniversity Press, 996 pp.
25. Solomon, S., G. K. Plattner, R. Knutti, and P. Friedlingstein, 2009: Irreversible climate change due to carbon dioxide emissions. Proc. Natl. Acad. Sci. USA, 106, 1704-1709.
26. Tabor, K., and J. Williams, 2010: Globally downscaled climate projections for assessing the conservation impacts of climate change. Ecol. Appl., 20, 554-565.
27. Tebaldi, C., and R. Knutti, 2007: The use of the multi-model ensemble in probabilistic climate projections. Philos. Trans. Roy. Soc., 365A, 2053-2075, doi:10.1098/rsta.2007.2076.
28. Wang, T., A. Hamann, D. Spittlehouse, and S. N. Aitken, 2005: Development of scale-free climate data for western Canada for use in resource management. Int. J. Climatol., 26, 383-397.
29. Willett, K. M., N. P. Gillett, P. D. Jones, and P. W. Thorne, 2007: Attribution of observed surface humidity changes to human influence. Nature, 449, 710-712, doi:10.1038/nature06207.
30. Zellner, A., 1962: An efficient method of estimating seemingly unrelated regression equations and tests of aggregation bias. J. Amer. Stat. Assoc., 57, 500-509.
31. Zhang, X., F. W. Zwiers, G. C. Hegerl, F. H. Lambert, N. P. Gillett, S. Solomon, P. Stott, and T. Nozawa, 2007: Detection of human influence on 20th century precipitation trends. Nature, 448, 461-465, doi:10.1038/nature06025.
32. Zwiers, F. W., 1996: Interannual variability and predictability in an ensemble of AMIP climate simulations conducted with the CCC GCM2. Climate Dyn., 12, 825-847.
33. Zwiers, F. W., X. Zhang, and Y. Feng, 2011:Anthropogenic influence on long return period daily temperature extremes at regional scales. J. Climate, 24, 881-892, doi:10.1175/2010JCLI3908.1.