Correction to "Stochastic downscaling of precipitation: From dry events to heavy rainfall" (Water Resources Research (2007) 43, (W07402) DOI:10.1029/2006WR005308);Stochastic downscaling of precipitation: From dry events to heavy rainfalls

Water Resources Research

Volumn 43, Issue 7, 2007, Pages

  Vrac, M ^a,b   Naveau, P ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; COMPUTER SIMULATION; MATHEMATICAL MODELS; PARETO PRINCIPLE; RAIN;

GENERALIZED PARETO (GP) DISTRIBUTIONS; PROBABILITY MIXTURE MODEL;

RANDOM PROCESSES;

CLIMATOLOGY; COMPUTER SIMULATION; MATHEMATICAL MODELS; PARETO PRINCIPLE; RAIN; RANDOM PROCESSES;

DATA ASSIMILATION; MARKOV CHAIN; PRECIPITATION (CLIMATOLOGY); RAINFALL; STOCHASTICITY; WEATHER;

ILLINOIS; NORTH AMERICA; UNITED STATES;

EID: 34547330866     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008WR007083     Document Type: Erratum

References (37)

1. Akaike, H. (1974), A new look at the statistical model identification, IEEE Trans. Autom. Control, 19, 716-723.
2. Bárdossy, A., H. Muster, L. Duckstein, and I. Bogardi (1994), Knowledge-based classification of circulation patterns for stochastic precipitation modelling, in Time Series Analysis in Hydrology and Environmental Emgineering, vol. 3, edited by K. W. Hipel et al., pp. 19-32, Kluwer Acad., Dordrecht, Netherlands.
3. Barnett, T., and R. Preisendorfer (1978), Multifield analog prediction of short-term climate fluctuations using a climate state vector, J. Atmos. Sci., 35, 1771-1787.
4. Bellone, E., J. P. Hughes, and J. P. Guttorp (2000), A hidden markov model for downscaling synoptic atmospheric patterns to precipitation amounts, Clim. Res., 15, 1-12.
5. Biau, G., E. Zorita, H. von Storch, and H. Wackernagel (1999), Estimation of precipitation by kriging in the EOF space of the sea level pressure field, J. Clim., 12, 1070-1085.
6. Breiman, L., J. Friedman, R. Olshen, and C. Stone (1984), Classification And Regression Trees (CART), Chapman and Hall, New York.
7. Bunkers, M. J., J. R. Miller, and A. T. DeGaetand (1996), Definition of climate regions in the northern plains using an objective cluster modification technique, J. Clim., 9, 130-146.
8. Cannon, A. J., and P. H. Whitfield (2002), Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models, J. Hydrol., 259, 136-151.
9. Charles, S. P., B. C. Bates, and J. P. Hughes (1999), A spatio-temporal model for downscaling precipitation occurrence and amounts, J. Geophys. Res., 104, 31, 657-31,669.
10. Coles, S. (2001), An Introduction to Statistical Modeling of Extreme Values, Springer, London.
11. Davis, R. E., R. Dolan, and G. Demme (1993), Synoptic climatology of Atlantic coast northeasters, Int. J. Climatol., 13, 171-189.
12. Fisher, R. A., and L. H. C. Tippett (1928), Limiting forms of the frequency distribution of the largest or smallest member of a sample, Proc. Cambridge Philos. Soc., 24, 180-190.
13. Frigessi, A., O. Haug, and H. Rue (2003), A dynamic mixture model for unsupervised tail estimation without threshold selection, Extremes, 5, 219-235.
14. Huth, R. (2001), Disaggregating climatic trends by classification of circulation patterns, Int. J. Climatol, 21, 135-153.
15. Huth, R. (2002), Statistical downscaling of daily temperature in central Europe, J. Clim., 15, 1731-1742.
16. Jeffries, N., and R. Pfeiffer (2000), A mixture model for the probability distribution of rain rate, Environmetrics, 12, 1-10.
17. Katz, R. W. (1977), Precipitation as a chain-dependent process, J. Appl. Meteorol, 16, 671-676.
18. Katz, R., M. B. Parlange, and P. Naveau (2002), Statistics of extremes in hydrology, Adv. Water Resour., 25, 1287-1304.
19. Mamassis, N., and D. Koutsoyiannis (1996), Influence of atmospheric circulation types on space-time distribution of intense rainfall, J. Geophys. Res., 101, 26,267-26,276.
20. Naveau, P., M. Nogaj, C. Ammann, P. Yiou, D. Cooley, and V. Jomelli (2005), Statistical methods for the analysis of climate extremes, C. R. Geosci., 337, 1013-1022.
21. Pongracz, R., J. Bartholy, and I. Bogardi (2001), Fuzzy rule-based prediction of monthly precipitation, Phys. Chem. Earth, 9, 663-667.
22. Schnur, R., and D. Lettenmaier (1998), A case study of statistical dow-scaling in Australia using weather classification by recursive partitioning, J. Hydrol., 212-213, 362-379.
23. Schwarz, G. (1978), Estimating the dimension of a model, Ann. Stat., 6, 461-464.
24. Semenov, M. A., and E. M. Barrow (1997), Use of a stochastic weather generator in the development of climate change scenarios, Clim. Res., 35, 397-414.
25. Semenov, M. A., R. J. Brooks, E. M. Barrow, and C. W. Richardson (1998), Comparison of the WGEN and the LARS-WG stochastic weather generators in diverse climates, Clim. Res., 10, 95-107.
26. Snell, S. E., S. Gopal, and R. K. Kaufmann (2000), Spatial interpolation of surface air temperatures using artificial neural networks: Evaluating their use for downscaling GCMs, J. Clim., 13, 886-895.
27. Von Storch, H., and F. W. Zwiers (1999), Statistical Analysis in Climate Research, Cambridge Univ. Press, Cambridge, U.K.
28. Vrac, M., A. Chédin, and E. Diday (2005), Clustering a global field of atmospheric profiles by mixture decomposition of copulas, J. Atmos. Oceanic Technol., 22, 1445-1459.
29. Vrac, M., M. Stein, and K. Hayhoe (2007), Statistical downscaling of precipitation through a nonhomogeneous stochastic weather typing approach, Clim. Res, in press.
30. Ward, J. H. (1963), Hierarchical grouping to optimize an objective function, J. Am. Stat. Assoc., 58, 236-244.
31. Wigley, T. M., P. Jones, K. Briffa, and G. Smith (1990), Obtaining subgrid scale information from coarse resolution general circulation output, J. Geophys. Res., 95, 1943-1953.
32. Wilks, D. S. (1999), Multisite downscaling of daily precipitation with a stochastic weather generator, Clim. Res., 11, 125-136.
33. Wilks, D. (2006), Statistical Methods in the Atmospheric Sciences, 2nd ed., Elsevier, Oxford, U.K.
34. Wilks, D. S., and R. L. Wilby (1999), The weather generation game: A review of stochastic weather models, Prog. Phys. Geogr., 23, 329-357.
35. Wilson, P. S., and R. Toumi (2005), A fundamental probability distribution for heavy rainfall, Geophvs. Res. Lett., 32, L14812, doi:10.1029/2005GL022465.
36. Yiou, P., and N. Nogaj (2004), Extreme climatic events and weather regimes over the North Atlantic: When and where?, Geophys. Res. Lett., 31, L07202, doi:10.1029/2003GL019119.
37. Zorita, E., and H. von Storch (1998), The analog method as a simple statistical downscaling technique: Comparison with more complicated methods, J. Clim., 12, 2474-2489.