Quantifying differences in circulation patterns based on probabilistic models: IPCC AR4 multimodel comparison for the North Atlantic

Journal of Climate

Volumn 23, Issue 24, 2010, Pages 6573-6589

  Rust, Henning ^a   Vrac, Mathieu ^a   Lengaigne, Matthieu ^b   Sultan, Benjamin ^b  

^a DIF   (France)

^b UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CIRCULATION PATTERNS; CLUSTER CENTROIDS; CLUSTER CONFIGURATIONS; CLUSTER SIZES; COMMONLY USED; DATA SETS; DISTANCE MEASURE; DOWN-SCALING; EUCLIDEAN DISTANCE; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; GENERAL CIRCULATION MODEL SIMULATIONS; GREENLAND; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGES; MEAN VALUES; MODEL VALIDATION; MULTI-MODEL; NONSPHERICAL CLUSTERS; NORTH ATLANTIC; PROBABILISTIC MODELS; PROBABILITY DENSITY FUNCTION (PDF); REANALYSIS; SIZE AND SHAPE;

BLIND SOURCE SEPARATION; CLIMATE MODELS; COMPUTER SIMULATION; PROBABILITY DENSITY FUNCTION; WEATHER FORECASTING;

CLIMATE CHANGE;

CLIMATE CHANGE; CLIMATE PREDICTION; DATABASE; GENERAL CIRCULATION MODEL; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE; SIMULATION; TWENTIETH CENTURY; WEATHER FORECASTING;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH);

EID: 77957694360     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JCLI3432.1     Document Type: Article

References (67)

1. Banfield, J. D., and A. E. Raftery, 1993: Model-based Gaussian and non-Gaussian clustering. Biometrics, 49, 803-821.
2. Bárdossy, A., 1994: Downscaling from GCMs to local climate through stochastic linkages. Climate Change, Uncertainty and Decision Making, G. Paoli, Ed., Institute for Risk Research, 33-46.
3. Bock, H.-H., 1996: Probabilistic models in cluster analysis. Comp. Stat. Data Anal., 23, 5-28.
4. Bock, H.-H., and E. Diday, 2000: Dissimilarity measures for probability distributions. Analysis of Symbolic Data, Springer, 153-165.
5. Brajard, J., F. Badran, M. Crépon, and S. Thiria, 2008: Validation of model simulations with respect to in situ observations by the use of probabilistic estimations. Proc. IEEE Int. Joint Conf. on Neural Networks, Hong Kong, China, Institute of Electrical and Electronics Engineers, 3015-3019.
6. Branstator, G., and F. Selten, 2009: "Modes of variability" and climate change. J. Climate, 22, 2639-2658.
7. Carreau, J., and Y. Bengio, 2009: A hybrid Pareto model for asymmetric fat-tailed data: The univariate case. Extremes, 12, 53-76.
8. Casado, M. J., M. A. Pastor, and F. J. Doblas-Reyes, 2009: Euro-Atlantic circulation types and modes of variability in winter. Theor. Appl. Climatol., 96, 17-29.
9. Casola, J., and J. Wallace, 2007: Identifying weather regimes in the wintertime 500-hPa geopotential height field for the Pacific-North American sector using a limited-contour clustering technique. J. Appl. Meteor. Climatol., 46, 1619-1630.
10. Cassou, C., 2008: Intraseasonal interaction between the Madden-Julian Oscillation and the North Atlantic Oscillation. Nature, 455, 523-527.
11. Christiansen, B., 2006: Atmospheric circulation regimes: Can cluster analysis provide the number? J. Climate, 20, 2229-2250.
12. Conway, D., and P. D. Jones, 1998: The use of weather types and air flow indices for GCM downscaling. J. Hydrol., 212-213, 348-361.
13. Davis, R. E., and L. S. Kalkstein, 1990: Development of an automated spatial synoptic climatological classification. Int. J. Climatol., 10, 769-794.
14. Davis, R. E., R. Dolan, and G. Demme, 1993: Synoptic climatology of Atlantic coast northeasters. Int. J. Climatol., 13, 171-189.
15. Dell'Aquila, A., V. Lucarini, P. M. Ruti, and S. Calmanti, 2005: Hayashi spectra of the Northern Hemisphere midlatitude atmospheric variability in the NCEP-NCAR and ECMWF reanalyses. Climate Dyn., 25, 639-652.
16. Dempster, A. P., N. M. Laird, and D. B. Rubin, 1977: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc., 39B, 1-38.
17. Duda, R. O., P. E. Hart, and D. G. Stork, 2001: Pattern Classification. 2nd ed. Wiley, 654 pp.
18. Fowler, H. J., S. Blenkinsop, and C. Tebaldib, 2007: Linking climate change modeling to impacts studies: Recent advances in downscaling techniques for hydrological modeling. Int. J. Climatol., 27, 1547-1578.
19. Fraley, C., and A. E. Raftery, 2002: Model-based clustering, discriminant analysis, and density estimation. J. Amer. Stat. Assoc., 97, 611-631.
20. Fraley, C., and A. E. Raftery, 2007: Model-based methods of classification: Using the mclust softwarein chemometrics. J. Stat. Software,18. [Available online at http://www.doaj.org/doaj?func=abstract&id=218544.]
21. Haines, K., and A. Hannachi, 1995: Weather regimes in the Pacific from a GCM. J. Atmos. Sci., 52, 2444-2462.
22. Hannachi, A., 1997: Low-frequency variability in a GCM: Three-dimensional flow regimes and their dynamics. J. Climate, 10, 1357-1379.
23. Hannachi, A., 2007: Tropospheric planetary wave and mixture modeling: Two preferred regimes and a regime shift. J. Atmos. Sci., 64, 3521-3541.
24. Hannachi, A., and B. Legras, 1995: Simulated annealing and weather regimes classification. Tellus, 47A, 955-973.
25. Hannachi, A., and A. O'Neil, 2001: Atmospheric multiple equilibria and non-gaussian behaviour in model simulations. Quart. J. Roy. Meteor. Soc., 127, 939-958.
26. Hannachi, A., I. T. Jolliffe, and D. B. Stephenson, 2007: Empirical orthogonal functions and related techniques in atmospheric science: A review. J. Climatol., 27, 1119-1152.
27. Hellinger, E., 1909: Neue Begründung der Theorie quadratischer Formen von unendlich vielen Veränderlichen. J. Für Math., 136, 210-271.
28. Hess, P., and H. Brezowsky, 1977: Katalog der Großwetterlagen Europas (1861-1976). Selbstverlag des Deutschen Wetterdienstes Bd. 15, Berichte des Deutschen Wetterdienstes, Offenbach am Main, 85 pp.
29. Hewitson, B., and R. G. Crane, 2002: Self-organizing maps: Applications to synoptic climatology. Climate Res., 22, 13-26.
30. Huth, R., 1996: An intercomparison of computer-assisted circulation classification methods. Int. J. Climatol., 16, 893-922.
31. Huth, R., 2000: A circulation classification scheme applicable in GCM studies. Theor. Appl. Climatol., 67, 1-18.
32. Jacobeit, J., H. Wanner, J. Luterbacher, C. Beck, A. Philipp, and K. Sturm, 2003: Atmospheric circulation variability in the North Atlantic European area since the mid-seventeenth century. Climate Dyn., 20, 341-352.
33. Jolliffe, I. T., 2002: Principal Component Analysis. 2nd ed., Springer Series in Statistics, Springer, 487 pp.
34. Jones, P. D., M. Hulme, and K. R. Briffa, 1993: A comparison of Lamb circulation types with an objective classification scheme. Int. J. Climatol., 13, 655-663.
35. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Re-analysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
36. Kohonen, T., 1998: The self-organizing map. Neurocomputing, 21, 1-6.
37. Kullback, S., 1987: The Kullback-Leibler distance. Amer. Stat., 41, 340-341.
38. Kullback, S., and R. A. Leibler, 1951: On information and sufficiency. Ann. Math. Stat., 22, 79-86.
39. Lamb, H. H., 1972: British Isles weather types and a register of daily sequence of circulation patterns, 1861-1971. Geophysical Memoir 116, HMSO, 85 pp.
40. Leloup, J., M. Lengaigne, and J.-P. Boulanger, 2008: Twentieth-century ENSO characteristics in the IPCC database. Climate Dyn., 30, 277-291.
41. MacQueen, J., 1967: Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, University of California Press, 281-297.
42. Mahalanobis, P. C., 1936: On the generalized distance in statistics. Proc. Nat. Inst. Sci. India, 2, 49-55.
43. Maraun, D., and Coauthors, 2010: Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user. Rev. Geophys., 48, RG3003, doi:10.1029/2009RG000314.
44. Meehl, G. A., C. Covey, T. Delworth, M. Latif, B. McAvaney, J. F. B. Mitchell, R. J. Stouffer, and K. E. Taylor, 2007: The WCRP CMIP3 multimodel dataset: A new era in climate change research. Bull. Amer. Meteor. Soc., 88, 1383-1394.
45. Michelangeli, P. A., R. Vautard, and B. Legras, 1995: Weather regimes: Recurrence and quasi-stationarity. J. Atmos. Sci., 52, 1237-1256.
46. Moron, V., A. W. Robertson, M. N. Ward, and O. Ndiaye, 2008: Weather types and rainfall over Senegal. Part I: Observational analysis. J. Climate, 21, 266-287.
47. Pearson, K., 1894: Contributions to the theory of mathematical evolution: Part I: On the dissection of asymmetrical frequency curves. Philos. Trans. Roy. Soc. London, A185, 71-85.
48. Philipp, A., P. M. Della-Marta, J. Jacobeit, D. R. Fereday, P. D. Jones, A. Moberg, and H. Wanner, 2007: Long-term variability of daily North Atlantic-European pressure patterns since 1850 classified by simulated annealing clustering. J. Climate, 20, 4065-4095.
49. Plaut, G., and E. Simonnet, 2001: Large-scale circulation classification, weather regimes, and local climate over France, the Alps, and Western Europe. Climate Res., 17, 303-324.
50. Preisendorfer, R. W., 1988: Principal Component Analysis in Meteorology and Oceanography. Elsevier, 426 pp.
51. R Development Core Team, cited 2004: R: A language and environment for statistical computing. [Available online at http://www.R-project.org.]
52. Schüepp, M., 1978: Regionale Klimabeschreibung. 1. Teil Gesamtübersicht, Westschweiz, Wallis, Jura und Juranordfuss sowie Mittelland. Klimatologie der Schweiz Band 2, Schweizerische Meteorologische Zentralanstalt, 245 pp.
53. Schwarz, G., 1978: Estimating the dimension of a model. Ann. Stat., 6, 461-464.
54. Simonnet, E., and G. Plaut, 2001: Space-time analysis of geo-potential height and SLP, intraseasonal oscillations, weather regimes, and local climates over the North Atlantic and Europe. Climate Res., 17, 325-342.
55. Smyth, P., K. Ide, and M. Ghil, 1999: Multiple regimes in Northern Hemisphere height fields via mixtuare model clustering. J. Atmos. Sci., 56, 3704-3723.
56. Stephenson, D. B., A. Hannachi, and A. O'Neill, 2004: On the existence of multiple climate regimes. Quart. J. Roy. Meteor. Soc., 130, 583-605.
57. Sterl, A., 2004: On the (in)homogeneity of reanalysis products. J. Climate, 17, 3866-3873.
58. Uppala, S. M., and Coauthors, 2005: The ERA-40 Re-Analysis. Quart. J. Roy. Meteor. Soc., 131, 2961-3012.
59. Vautard, R., 1990: Multiple weather regimes over the North Atlantic: Analysis of precursors and successors. Mon. Wea. Rev., 118, 2056-2081.
60. Vrac, M., and P. Naveau, 2007: Stochastic downscaling of precipitation: From dry events to heavy rainfalls. Water Resour. Res., 43, W07402, doi:10.1029/2006WR005308.
61. Vrac, M., K. Hayhoe, and M. Stein, 2007a: Identification and intermodel comparison of seasonal circulation patterns over North America. Int. J. Climatol., 27, 603-620.
62. Vrac, M., M. Stein, and K. Hayhoe, 2007b: Statistical downscaling of precipitation through nonhomogeneous stochastic weather typing. Climate Res., 34, 169-184.
63. Ward, J. H., 1963: Hierarchical grouping to optimize an objective function. J. Amer. Stat. Assoc., 58, 236-244.
64. Wehrens, R., and L. M. C. Buydens, 2007: Self- and super-organizing maps in R: The kohonen package. J. Stat. Software, 21, 1-19.
65. Wilby, R. L., T. M. L. Wigley, D. Conway, P. D. Jones, B. C. Hewitson, J. Main, and D. S. Wilks, 1998: Statistical downscaling of general circulation model output: A comparison of methods. Water Resour. Res., 34, 2995-3008.
66. Yarnal, B., 1993: Synoptic Climatology in Environmental Analysis. Bellhaven Press, 195 pp.
67. Yiou, P., and M. Nogaj, 2004: Extreme climatic events and weather regimes over the North Atlantic: When and where? Geophys. Res. Lett., 31, L07202, doi:10.1029/2003GL019119.