Evaluating spatio-temporal representations in daily rainfall sequences from three stochastic multi-site weather generation approaches

Advances in Water Resources

Volumn 32, Issue 6, 2009, Pages 948-962

  Mehrotra, R ^a   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Kernel density estimation; KNN model; Modified Markov model; Spatio temporal rainfall distribution; Sydney

Indexed keywords

KERNEL DENSITY ESTIMATION; KNN MODEL; MODIFIED MARKOV MODEL; SPATIO-TEMPORAL RAINFALL DISTRIBUTION; SYDNEY;

LOCATION; MARKOV PROCESSES;

RAIN;

ESTIMATION METHOD; HYDROLOGY; MARKOV CHAIN; MODELING; RAINFALL; STOCHASTICITY;

EID: 67349250392     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2009.03.005     Document Type: Article

References (39)

1. Bardossy A., and Plate E.J. Space-time model for daily rainfall using atmospheric circulation patterns. Water Resour Res 28 (1992) 1247-1259
2. Beersma J.J., and Buishand T.A. Multi-site simulation of daily precipitation and temperature conditional on the atmospheric circulation. Climate Res 25 (2003) 121-133
3. Brandsma T., and Buishand T.A. Simulation of extreme precipitation in the Rhine basin by nearest neighbour resampling. Hydrol Earth Syst Sci 2 (1998) 195-209
4. Bras R., and Rodriguez-Iturbe I. Rainfall generation: a nonstationary time varying multidimensional model. Water Resour Res 12 (1976) 450-456
5. Buishand T.A. Some remarks on the use of daily rainfall models. J Hydrol 36 (1978) 295-308
6. Buishand T.A., and Brandsma T. Multi-site simulation of daily precipitation and temperature in the Rhine basin by nearest-neighbor resampling. Water Resour Res 37 (2001) 2761-2776
7. Clark M.P., Gangopadhyay S., Hay L.E., Rajagopalan B., and Wilby R.L. The Schaake shuffle: a method for reconstructing space-time variability in forecasted precipitation and temperature fields. J Hydrometeorol 5 (2004) 243-262
8. Clark M.P., Gangopadhyay S., Brandon D., Werner K., Hay L., Rajagopalan B., et al. A resampling procedure for generating conditioned daily weather sequences. Water Resour Res 40 (2004) W04304 10.1029/2003WR002747
9. Guttorp P. Stochastic modeling of scientific data (1995), Chapman and Hall, London [chapter 2]
10. Harrold T.I., Sharma A., and Sheather S.J. A nonparametric model for stochastic generation of daily rainfall occurrence. Water Resour Res 39 12 (2003) 1343 10.1029/2003WR002570
11. Harrold T.I., Sharma A., and Sheather S.J. A nonparametric model for stochastic generation of daily rainfall amounts. Water Resour Res 39 12 (2003) 1300 10.1029/2003WR002570
12. Hay L.E., McCabe Jr. G.J., Wolock D.M., and Ayres M.A. Simulation of precipitation by weather type analysis. Water Resour Res 27 (1991) 493-501
13. Hughes J.P., Lettenmaier D.P., and Guttorp P. A stochastic approach for assessing the effect of changes in synoptic circulation patterns on gauge precipitation. Water Resour Res 29 (1993) 3303-3315
14. Hughes J.P., and Guttorp P. A class of stochastic models for relating synoptic atmospheric patterns to regional hydrologic phenomena. Water Resour Res 30 (1994) 1535-1546
15. Hughes J.P., Guttorp P., and Charles S.P. A nonhomogeneous hidden Markov model for precipitation occurrence. Appl Stat 48 1 (1999) 15-30
16. Katz R.W., and Parlange M.B. Effects of an index of atmospheric circulation on stochastic properties of precipitation. Water Resour Res 29 (1993) 2335-2344
17. Katz R.W., and Parlange M.B. Overdispersion phenomenon in stochastic modeling of precipitation. J Climate 11 (1998) 591-601
18. Katz R.W., Parlange M.B., and Tebaldi C. Stochastic modeling of the effects of large-scale circulation on daily weather in the southeastern US. Climatic Change 60 (2003) 189-216
19. Lall U., and Sharma A. A nearest neighbor bootstrap for time series resampling. Water Resour Res 32 (1996) 679-693
20. Lettenmaier D. Stochastic modeling of precipitation with applications to climate model downscaling. In: von Storch H., and Navarra A. (Eds). Analysis of climate variability. Applications of Statistical Techniques (1995), Springer-Verlag, Berlin 197-212
21. Mehrotra R., Sharma A., and Cordery I. Comparison of two approaches for downscaling synoptic atmospheric patterns to multi-site precipitation occurrence. J Geophys Res 109 (2004) D14107 10.1029/2004JD004823
22. Mehrotra R., and Sharma A. A nonparametric nonhomogeneous hidden Markov model for downscaling of multi-site daily rainfall occurrences. J Geophys Res 110 (2005) D16108 10.1029/2004JD005677
23. Mehrotra R., Srikanthan R., and Sharma A. A comparison of three stochastic multi-site precipitation occurrence generators. J Hydrol 331 (2006) 280-292 10.1016/j.jhydrol.2006.05.016
24. Mehrotra R., and Sharma A. A nonparametric stochastic downscaling framework for daily rainfall at multiple locations. J Geophys Res 111 (2006) D15101 10.1029/2005JD006637
25. Mehrotra R., and Sharma A. A semi-parametric model for stochastic generation of multi-site daily rainfall exhibiting low-frequency variability. J Hydrol 335 (2007) 180-193 10.1016/j.jhydrol.2006.11.011
26. Mehrotra R., and Sharma A. Preserving low-frequency variability in generated daily rainfall sequences. J Hydrol 345 (2007) 102-120 10.1016/j.jhydrol.2007.08.003
27. Qian B., Corte-Real J.A., and Xu H. Multi-site stochastic weather models for impact studies. Int J Climatol 22 (2002) 1377-1397
28. Racsko P., Szeidl L., and Semenov M. A serial approach to local stochastic weather models. Ecol Model 57 (1991) 27-41
29. Rajagopalan B., and Lall U. A k-nearest neighbour simulator for daily precipitation and other weather variables. Water Resour Res 35 (1999) 3089-3101
30. Semenov M.A., and Porter J.R. Climatic variability and the modelling of crop yields. Agr Forest Meteorol 73 (1995) 265-283
31. Sharma A., and O'Neill R. A nonparametric approach for representing interannual dependence in monthly streamflow sequences. Water Resour Res 38 7 (2002) 5.1-5.10
32. Sharma A. Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 3 - a nonparametric probabilistic forecast model. J Hydrol 239 (2000) 249-258
33. Stehlik J., and Bardossy A. Multivariate stochastic downscaling model for generating daily precipitation series based on atmospheric circulation. J Hydrol 256 (2002) 120-141
34. Vrac M., Stein M., and Hayhoe K. Statistical downscaling of precipitation through nonhomogeneous stochastic weather typing. Climate Res 34 (2007) 169-184
35. Waymire E., Gupta V.K., and Rodriguez-Iturbe I. A spectral theory of rainfall at the meso-b scale. Water Resour Res 20 (1984) 1453-1465
36. Wilks D.S. Multi-site generalization of a daily stochastic precipitation model. J Hydrol 210 (1998) 178-191
37. Wilks D.S. Simultaneous stochastic simulation of daily precipitation, temperature and solar radiation at multiple sites in complex terrain. Agr Forest Meteorol 96 (1999) 85-101
38. Wilks DS. Multi-site downscaling of daily precipitation with a stochastic weather generator. Climate Res 11 (1999) 125-136
39. Wilson L.L., Lettenmaier D.P., and Skyllingstad E. A hierarchical stochastic model of large-scale atmospheric circulation patterns and multiple station daily precipitation. J Geophys Res D3 (1992) 2791-2809