Geospatial-temporal dependence among weekly precipitation extremes with applications to observations and climate model simulations in South America

Advances in Water Resources

Volumn 30, Issue 12, 2007, Pages 2401-2423

  Kuhn, Gabriel ^a   Khan, Shiraj ^a,b   Ganguly, Auroop R ^a   Branstetter, Marcia L ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

^b University of South Florida   (United States)

Author keywords

Climate simulations; Extremal dependence; Geospatial; Observations; Precipitation; South America; Temporal

Indexed keywords

CLIMATOLOGY; COMPUTER SIMULATION; HYDRAULICS; HYDROLOGY;

CLIMATE MODEL; GEOSPATIAL-TEMPORAL;

PRECIPITATION (METEOROLOGY);

CLIMATOLOGY; COMPUTER SIMULATION; HYDRAULICS; HYDROLOGY; PRECIPITATION (METEOROLOGY);

CLIMATE MODELING; COMPUTER SIMULATION; ESTIMATION METHOD; FORECASTING METHOD; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; SPATIOTEMPORAL ANALYSIS; TIME SERIES ANALYSIS;

SOUTH AMERICA;

EID: 34748816217     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2007.05.006     Document Type: Article

References (56)

1. Kuhn G. On dependence and extremes. PhD thesis (Advisor: C. Klüppelberg), Munich University of Technology, 2006.
2. Coles S.G., and Tawn J. A Statistical methods for multivariate extremes: an applications to structural design. Appl Statist 43 1 (1994) 1-48
3. Coles S.G. An introduction to statistical modeling of extreme values, Springer Series in Statistics (2001), Springer, London
4. Katz R., Parlange M., and Naveau P. Statistics of extremes in hydrology. Adv Water Resour 25 (2002) 1287-1304
5. Engeland K., Hisdal H., and Frigessi A. Practical extreme value modelling of hydrological floods and droughts: a case study. Extremes 7 (2004) 5-30
6. Katz R., Brush G., and Parlange M. Statistics of extremes: modeling ecological disturbances. Ecology 86 (2005) 1124-1134
7. Casson E., and Coles S.G. Spatial regression models for extremes. Extremes 1 (1999) 449-468
8. Begueŕia S., and Vicente-Serrano S. Mapping the hazard of extreme rainfall by peaks over threshold extreme value analysis and spatial regression techniques. J Appl Meteorol Climatol 45 (2006) 108-124
9. Coles S.G., Heffernan J.E., and Tawn J.A. Dependence measures for extreme value analysis. Extremes 2 (1999) 339-365
10. Ledford A.W., and Tawn J.A. Diagnostics for dependence within time series extremes. J R Statist Soc Ser B 65 2 (2003) 521-543
11. Heffernan J.E., and Tawn J.A. A conditional approach for multivariate extreme values. J R Statist Soc Ser B 66 3 (2004) 497-546
12. Groisman P.Y., Karl T.R., Easterling D.R., Knight R.W., Jamason P.F., Hennessy K.J., et al. Changes in the probability of heavy precipitation important indicators of climatic change. Climatic Change 42 (1999) 243-283
13. Haylock M., and Goodess C. Interannual variability of European extreme winter rainfall and links with mean large-scale circulation. Int J Climatol 24 (2004) 759-776
14. Coles S.G., and Tawn J.A. Modelling extremes of the areal rainfall process. J R Statist Soc B 58 2 (1996) 329-347
15. Schlather M., and Tawn J.A. A dependence measure for multivariate and spatial extreme values: properties and inference. Biometrika 90 1 (2003) 139-156
16. Liebmann B., Jones C., and Carvalho L.M.V. Interannual variability of daily extreme precipitation events in the state of São Paulo, Brazil. J Clim 14 (2001) 208-218
17. Carvalho L.M.V., Jones C., and Liebmann B. Extreme precipitation events in southeastern South America and large-scale convective patterns in the South Atlantic Convergence Zone. J Clim 15 (2002) 2377-2394
18. Easterling D.R., Evans J.L., Groisman P.Y., Karl T.R., Kunkel K.E., and Ambenje P. Observed variability and trends in extreme climate events. Bull Am Met Soc 81 (2000) 417-425
19. Meehl G.A., and Tebaldi C. More intense, more frequent, and longer lasting heat waves in the 21st century. Science 305 (2004) 994-997
20. Liebmann B., and Allured D. Daily precipitation grids for South America. Bull Am Meteor Soc 86 (2005) 1567-1570
21. Goswami B.N., Venugopal V., Sengupta D., Madhusoodanan M.S., and Xavier P.K. Increasing trends of extreme rain events over India in a warming environment. Science 314 (2006) 1442
22. Collins W.D., Bitz C.M., Blackmon M.L., Bonan G.B., Bretherton C.S., Carton J.A., et al. The community climate system model version 3 (CCSM3). J Clim 19 11 (2006) 2122-2143
23. Branstetter M.L., and Erickson III D.J. Continental runoff dynamics on the community climate system model version 2 (CCSM2) control simulation. J Geophys Res 108 D17 (2003) 4550 10.1029/2002JD003213
24. Meehl G.A., Arblaster J.M., and Tebaldi C. Understanding future patterns of increased precipitation intensity in climate model simulations. Geophys Res Lett 32 (2005) 10.1029/2005GL023680
25. Boville B.A., Rasch P.J., Hack J.J., and McCaa J.R. Representation of clouds and precipitation processes in the community atmosphere model version 3 (CAM3). J Clim 19 11 (2006) 2184-2198
26. Gaines S.D., and Denny M.W. The largest, smallest, highest, lowest, longest, and shortest: extremes in ecology. Ecology 74 (1993) 1677-1692
27. Kunkel K.E., Changnon S.A., and Shealy R.T. Temporal and spatial characteristics of heavy-precipitation events in the Midwest. Mon Wea Rev 121 (1993) 858-866
28. Yates D., Gangopadhyay S., Rajagopalan B., and Strzepek K. A technique for generating regional climate scenarios using a nearest-neighbor algorithm. Water Resour Res 39 7 (2003) 1199 10.1029/2002WR001769
29. Michael J.R. The stabilized probability plot. Biometrika 70 1 (1983) 11-17
30. Coles S.G. On goodness-of-fit tests for the two-parameter Weibull distribution derived from the stabilized probability plot. Biometrika 76 3 (1989) 593-598
31. Kimber A.C. Tests for the exponential, Weibull and Gumbel distributions based on the stabilized probability plot. Biometrika 72 3 (1985) 661-663
32. Davison A., and Smith R. Models for exceedances over high thresholds (with discussion). J R Statist Soc Ser B 52 (1990) 393-442
33. Smith R., and Robinson P. A bayesian approach to the modelling of spatial-temporal precipitation data. In: Gatsonis C. (Ed). Case studies in bayesian statistics III. Lecture notes in statistics 121 121 (1997), Springer, New York 237-264
34. Smith R., Tawn J.A., and Coles S.G. Markov chain models for threshold exceedances. Biometrika 84 (1997) 249-268
35. Smith R. Statistics of extremes, with applications in environment, insurance and finance. In: Finkenstädt B., and Rootzén H. (Eds). Extreme values in finance, telecommunications and the environment (2003), Chapman and Hall/CRC Press 1-78 [chapter 1]
36. Yun S., and Smith R. Spatial trends and spatial extremes in South Korean ozone. J Korean Statist Soc 32 4 (2003) 313-335
37. Kendall M., and Gibbons J. Rank correlation methods. 5th ed. (1990), Edward Arnold, London
38. Joe H. Multivariate models and dependence concepts. Monographs on statistics and applied probability vol. 73 (1997), Chapman & Hall, London
39. Nelsen R. An introduction to copulas. Lecture notes in statistics Vol. 139 (1999), Springer, New York
40. Hult H., and Lindskog F. Multivariate extremes, aggregation and dependence in elliptical distributions. Adv Appl Probab 34 3 (2002) 587-608
41. Embrechts P., McNeil A., and Straumann D. Correlation and dependence in risk management: properties and pitfalls. Risk management: value at risk and beyond (Cambridge, 1998) (2002), Springer, Cambridge 176-223
42. Lindskog F. Linear correlation estimation, preprint, ETH Zurich. 2000.
43. Resnick S. Extreme values, regular variation, and point processes (1987), Springer, New York
44. Hsing T., Klüppelberg C., and Kuhn G. Dependence estimation and visualization in multivariate extremes with applications to financial data. Extremes 7 2 (2004) 99-121
45. Einmahl J., de Haan L., and Piterbarg V. Nonparametric estimation of the spectral measure of an extreme value distribution. Ann Statist 29 5 (2001) 1401-1423
46. Embrechts P., Klüppelberg C., and Mikosch T. Modelling extreme events for insurance and finance (1997), Springer, Berlin, Heidelberg
47. Tawn J.A. Bivariate extreme value theory: models and estimation. Biometrika 75 3 (1988) 397-415
48. Ledford A.W., and Tawn J.A. Modelling dependence within joint tail regions. J R Statist Soc Ser B 59 2 (1997) 475-499
49. Peng L. Second order condition and extreme value theory. PhD thesis (Advisor: L. de Haan), Erasmus University, Rotterdam, 1998.
50. Einmahl JHJ, Li J, Liu RY. Extreme value theory approach to simultaneous monitoring and thresholding of multiple risk indicators. CentER Discussion Paper (Int. rep. 2006-104) Econometrics. 2006.
51. Frahm G., Junker M., and Schmidt R. Estimating the tail dependence coefficient. Insurance: Math Econ 37 (2005) 80-100
52. Ledford A.W., and Tawn J.A. Statistics for near independence in multivariate extreme values. Biometrika 83 1 (1996) 169-187
53. Gershunov A., and Barnett T.P. ENSO influence on intraseasonal extreme rainfall and temperature frequencies in the contiguous United States: observations and model results. J Clim 11 (1998) 1575-1586
54. Kane R.P. Rainfall extremes in some selected parts of Central and South America: ENSO and other relationships reexamined. Int J Climatol 19 (1999) 423-455
55. Jones C., Waliser D.E., Lau K.M., and Stern W. Global occurrences of extreme precipitation and the Madden-Julian oscillation: observations and predictability. J Clim 17 (2004) 4575-4589
56. Khan S., Ganguly A.R., Bandyopadhyay S., Saigal S., Erickson III D.J., Protopopescu V., et al. Nonlinear statistics reveals stronger ties between ENSO and the tropical hydrological cycle. Geophys Res Lett 33 (2006) L24402 10.1029/2006GL027941