Simulation of multisite precipitation using an extended chain-dependent process

Water Resources Research

Volumn 46, Issue 1, 2010, Pages

  Zheng, Xiaogu ^a,b   Renwick, James ^a   Clark, Anthony ^a  

^a NATIONAL INSTITUTE OF WATER AND ATMOSPHERIC RESEARCH   (New Zealand)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS CORRELATIONS; DEPENDENT PROCESS; EXTREMAL BEHAVIOR; FORCINGS; INTERMITTENCY; MULTI-SITE; NEW ZEALAND; OVERDISPERSION; PRECIPITATION INTENSITY; PRECIPITATION SEQUENCE; SEASONAL PRECIPITATIONS; SPATIAL CORRELATIONS; SPATIAL DEPENDENCE;

CATCHMENTS; PROBABILITY DISTRIBUTIONS; STOCHASTIC SYSTEMS;

STOCHASTIC MODELS;

CATCHMENT; PRECIPITATION INTENSITY; SIMULATION; STOCHASTICITY;

NEW ZEALAND; SOUTH ISLAND; WAITAKI BASIN;

EID: 76149113934     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008WR007526     Document Type: Article

References (21)

1. Bandaragoda, C., D. G. Tarboton, and R. Woods (2004), Application of TOPNET in the distributed model intercomparison project, J. Hydrol., 298, 178-201, doi:10.1016/j.jhydrol.2004.03.038. (Pubitemid 39098773)
2. Brissette, F. P., M. Khalili, and R. Loconte (2007), Efficient stochastic generation of multi-site synthetic precipitation data, J. Hydrol., 345, 121-133, doi:10.1016/j.jhydrol.2007.06.035. (Pubitemid 47569209)
3. Feller, W. (1971), An Introduction to Probability Theory and Its Applications, vol.1, 3rd ed., John Wiley, New York.
4. Folland, C. K., D. E. Parker, A. W. Colman, and R. Washington (1999), Large scale modes of ocean surface temperature since the late nineteenth century, in Beyond El Niño: Decadal and Interdecadal Climate Variability, edited by A. Navarra, pp. 73- 102, Springer, Berlin.
5. Furrer, E. M., and R. W. Katz (2007), Generalized linear modeling approach to stochastic weather generators, Clim. Res., 34, 129-144, doi:10.3354/cr034129.
6. Furrer, E. M., and R. W. Katz (2008), Improving the simulation of extreme precipitation events by stochastic weather generators, Water Resour. Res., 44, W12439, doi:10.1029/2008WR007316.
7. Jones, R. H. (1992), Longitudinal Data with Serial Correlation: A State-Space Approach, Chapman and Hall, London.
8. Katz, R. W. (1977), An application of chain-dependent processes to meteorology, J. Appl. Probab., 14, 598-603, doi:10.2307/3213463.
9. Katz, R. W., and M. B. Parlange (1993), Effects of an index of atmospheric circulation on stochastic properties of precipitation, Water Resour. Res., 29, 2335-2344, doi:10.1029/93WR00569. (Pubitemid 271580)
10. Katz, R. W., and M. B. Parlange (1998), Overdispersion phenomenon in stochastic modeling of precipitation, J. Clim., 11, 591-601, doi:10.1175/ 1520-0442(1998)0112.0.CO;2.
11. Katz, R. W., and X. Zheng (1999), Mixture model for overdispersion of precipitation, J. Clim., 12, 2528-2537, doi:10.1175/1520-0442(1999)0122.0.CO;2.
12. Koutsoyiannis, D. (2004), Statistics of extremes and estimation of extreme rainfall: I. Theoretical investigation, Hydrol. Sci. J., 49, 575-590, doi:10.1623/hysj.49.4.575.54430. (Pubitemid 38991002)
13. McCullagh, P., and J. A. Nelder (1989), Generalized Linear Models, 2nd ed., Chapman and Hall, London.
14. Richardson, D. W. (1981), Stochastic simulation of daily precipitation, temperature, and solar radiation, Water Resour. Res., 17, 182-190, doi:10.1029/WR017i001p00182.
15. Wheater, H. S., R. E. Chandler, C. J. Onof, V. S. Isham, E. Bellone, C. Yang, D. Lekkas, G. Lourmas, and M. L. Segond (2005), Spatialtemporal rainfall modeling for flood risk estimation, Stochastic Environ. Res. Risk Assess., 19, 403-416, doi:10.1007/s00477-005-0011-8. (Pubitemid 41801066)
16. Wilks, D. S. (1992), Adapting stochastic weather generation algorithms for climate change studies, Clim. Change, 22, 67-84, doi:10.1007/ BF00143344.
17. Wilks, D. S. (1998), Multisite generalization of a daily stochastic precipitation generation model, J. Hydrol., 210, 178-191, doi:10.1016/S0022- 1694(98)00186-3. (Pubitemid 28504056)
18. Zheng, X. (1996), Unbiased estimation of autocorrelations of daily meteorological variables, J. Clim., 9, 2197-2203, doi:10.1175/1520-0442(1996) 0092.0.CO;2.
19. Zheng, X., and R. W. Katz (2008a), Mixture model of generalized chaindependent processes and its application to simulation of interannual variability of daily rainfall, J. Hydrol., 349, 191-199, doi:10.1016/ j.jhydrol.2007.10.061.
20. Zheng, X., and R. W. Katz (2008b), Simulation of spatial dependence in daily rainfall using multisite generators, Water Resour. Res., 44, W09403, doi:10.1029/2007WR006399.
21. Zheng, X., and C. S. Thompson (2007), Simulation of precipitation in the upper Waitaki catchment, New Zealand, and its relation to the Interdecadal Pacific Oscillation: Interannual and intraseasonal variability, J. Hydrol., 339, 105-117, doi:10.1016/j.jhydrol.2006.12.020. (Pubitemid 46829182)