El Niño-Southern Oscillation influence on winter maximum daily precipitation in California in a spatial model

Water Resources Research

Volumn 47, Issue 11, 2011, Pages

  Shang, Hongwei ^a   Yan, Jun ^a   Zhang, Xuebin ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b ENVIRONMENT CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CALIFORNIA; COMPOSITE LIKELIHOOD; EXTREMAL EVENTS; EXTREME PRECIPITATION; GENERALIZED EXTREME VALUE; GEV DISTRIBUTIONS; INDEPENDENCE ASSUMPTION; LOCATION PARAMETERS; PROCESS MODEL; RETURN LEVEL; SOUTHERN OSCILLATION INDEX; SPATIAL CONTEXT; SPATIAL DEPENDENCE; SPATIAL MODELS;

NICKEL COMPOUNDS; PRECIPITATION (METEOROLOGY); STABILITY CRITERIA;

ATMOSPHERIC PRESSURE;

DIURNAL VARIATION; EL NINO-SOUTHERN OSCILLATION; PRECIPITATION INTENSITY; PROBABILITY; SPATIAL ANALYSIS; WINTER;

CALIFORNIA; UNITED STATES;

EID: 81155127460     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR010415     Document Type: Article

References (39)

1. Banerjee, S., B. P. Carlin, and A. E. Gelfand (2004), Hierarchical Modeling and Analysis for Spatial Data, Chapman and Hall, Boca Raton, Fla.
2. Bardossy, A. (2006), Copula-based geostatistical models for groundwater quality parameters, Water Resour. Res., 42, W11416, doi:10.1029/2005WR004754. (Pubitemid 46134886)
3. Beirlant, J., Y. Goegebeur, J. Segers, and J. Teugels (2004), Statistics of Extremes: Theory and Applications, John Wiley, New York.
4. Chandler, R. E., and S. Bate (2007), Inference for clustered data using the independence loglikelihood, Biometrika, 94(1), 167-183. (Pubitemid 46410724)
5. Coles, S. (2001), An Introduction to Statistical Modeling of Extreme Values, 208 pp., Springer, New York.
6. Davison, A. C., and M. M. Gholamrezaee (2011), Geostatistics of extremes, Proc. R. Soc., doi:10.1098/rspa.2011.0412.
7. de Haan, L. (1984), A spectral representation for max-stable processes, Ann. Probab., 12, 1194-1204.
8. de Haan, L., and A. Ferreira (2006), Extreme Value Theory: An Introduction, Springer, New York.
9. Durman, C. F., J. M. Gregory, D. C. Hassell, R. G. Jones, and J. M. Murphy (2001), A comparison of extreme European daily precipitation simulated by a global and a regional climate model for present and future climates, Quart. J. R. Meteorol. Soc., 127(573), 1005-1015. (Pubitemid 32403734)
10. El Adlouni, S., T. B. M. J. Quarda, X. Zhang, R. Roy, and B. Bobée (2007), Generalized maximum likelihood estimators for the nonstationary generalized extreme value model, Water Resour. Res., 43, W03410, doi:10.1029/2005WR004545. (Pubitemid 46682780)
11. Falk, M., and A. Guillou (2008), Peaks-over-threshold stability of multivariate generalized Pareto distributions, J. Multivariate Anal., 99(4), 715-734.
12. Falk, M., and R. Michel (2009), Testing for a multivariate generalized Pareto distribution, Extremes, 12(1), 33-51.
13. Favre, A.-C., S. E. Adlouni, L. Perreault, N. Thiemonge, and B. Bobée (2004), Multivariate hydrological frequency analysis using copulas, Water Resour. Res., 40, W01101, doi:10.1029/2003WR002456.
14. Genest, C., and A.-C. Favre (2007), Everything you always wanted to know about copula modeling but were afraid to ask, J. Hydrol. Eng., 12, 347-368. (Pubitemid 47023282)
15. Gershunov, A., and T. Barnett (1998), ENSO influence on intraseasonal extreme rainfall and temperature frequencies in the contiguous United States: Observations and model results, J. Clim., 11(7), 1575-1586. (Pubitemid 128500336)
16. Gershunov, A., and D. R. Cayan (2003), Heavy daily precipitation frequency over the contiguous United States: Sources of climatic variability and seasonal predictability, J. Clim., 16, 2752-2765. (Pubitemid 37172218)
17. Grimm, A. M., and R. G. Tedeschi (2009), ENSO and extreme rainfall events in South America, J. Clim., 22(7), 1589-1609.
18. Heitjan, D. F., and D. B. Rubin (1991), Ignorability and coarse data, Ann. Stat., 19, 2244-2253.
19. Huerta, G., and B. Sansó (2007), Time-varying models for extreme values, Environ. Ecol. Stat., 14(3), 285-299. (Pubitemid 47278604)
20. Hüsler, J., and R.-D. Reiss (1989), Maxima of normal random vectors: Between independence and complete dependence, Stat. Probab. Lett., 7, 283-286.
21. Joe, H. (1997), Multivariate Models and Dependence Concepts, 399 pp., Chapman and Hall, Boca Raton, Fla.
22. Katz, R. W. (2010), Statistics of extremes in climate change, Clim. Change, 100, 71-76, doi:10.1007/s10584-010-9834-5.
23. Katz, R. W., M. B. Parlange, and P. Naveau (2002), Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287-1304. (Pubitemid 35465151)
24. Kent, J. T. (1982), Robust properties of likelihood ratio tests, Biometrika, 69, 19-27.
25. Kharin, V. V., and F. W. Zwiers (2005), Estimating extremes in transient climate change simulations, J. Clim., 18(8), 1156-1173. (Pubitemid 40717074)
26. Lindsay, B. G. (1988), Composite likelihood methods, Contemp. Math., 80, 221-239.
27. Michel, R. (2007), Simulation of certain multivariate generalized Pareto distributions, Extremes, 10(3), 83-107.
28. Padoan, S. A., M. Ribatet, and S. A. Sisson (2010), Likelihood-based inference for max-stable processes, J. Am. Stat. Assoc., 105(489), 263-277.
29. Resnick, S. I. (1987), Extreme Values, Regular Variation, and Point Processes, 320 pp., Springer, New York.
30. Ribatet, M. (2011), SpatialExtremes: Modelling Spatial Extremes. R package version 1.8-1., http://CRAN.R-project.org/package=SpatialExtremes.
31. Rootzén, H., and N. Tajvidi (2006), Multivariate generalized Pateto distributions, Bernoulli, 12(5), 917-930.
32. Rotnitzky, A., and N. P. Jewell (1990), Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data, Biometrika, 77, 485-497.
33. Salvadori, G., and C. De Michele (2004), Frequency analysis via copulas: Theoretical aspects and applications to hydrological events, Water Resour. Res., 40, W12511, doi:10.1029/2005WR003133.
34. Schlather, M. (2002), Models for stationary max-stable random fields, Extremes, 5(1), 33-44.
35. Schlather, M., and J. A. Tawn (2003), A dependence measure for multivariate and spatial extreme values: Properties and inference, Biometrika, 90(1), 139-156. (Pubitemid 39047187)
36. Schubert, S. D., Y. Chang, M. J. Suarez, and P. J. Pegion (2008), ENSO and wintertime extreme precipitation events over the contiguous United States, J. Clim., 21, 22-39. (Pubitemid 351395656)
37. Sklar, A. W. (1959), Fonctions de répartition à n dimension et leurs marges, Publ. Inst. Stat. Univ. Paris, 8, 229-231.
38. Varin, C. (2008), On composite marginal likelihoods, Adv. Stat. Anal., 92(1), 1-28.
39. Zhang, X., J. Wang, F. W. Zwiers, and P. Y. Groisman (2010), The influence of large scale climate variability on winter maximum daily precipitation over North America, J. Clim., 23(11), 2902-2915.