A daily weather generator based on a two-stage resampling algorithm

Journal of Hydrology

Volumn 374, Issue 3-4, 2009, Pages 185-195

  Leander, Robert ^a   Buishand, T Adri ^a  

^a ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

Author keywords

Extreme values; Hydrological modelling; Meuse basin; Nearest neighbour resampling; Time series

Indexed keywords

BELGIUM; DAILY DISCHARGE; EXPECTED VALUES; EXTREME VALUES; HYDROLOGICAL MODELLING; MEUSE BASIN; NEAREST-NEIGHBOUR; NEAREST-NEIGHBOUR RESAMPLING; NEIGHBOURHOOD; RAINFALL-RUNOFF MODELS; RESAMPLING ALGORITHMS; SIMULATED DISCHARGES; SIMULATED DISTRIBUTION; STANDARD DEVIATION; SYNTHETIC SEQUENCE; TEMPERATURE DATA; TIME SERIES MODELS; TWO STAGE; TWO-STAGE ALGORITHM; WEATHER GENERATOR;

CATCHMENTS; PHOTOMASKS; RUNOFF; TIME SERIES;

ALGORITHMS;

ALGORITHM; DISCHARGE; DIURNAL VARIATION; ESTIMATION METHOD; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); RAINFALL-RUNOFF MODELING; RESIDUAL FLOW; SAMPLING; TIME SERIES; WEATHER;

EURASIA; EUROPE; MEUSE BASIN; WESTERN EUROPE;

EID: 68349101425     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.06.010     Document Type: Article

References (36)

1. Bárdossy A., and Plate E.J. Space-time model for daily rainfall using atmospheric circulation patterns. Water Resources Research 28 (1992) 1247-1259
2. Bartlett M.S. On the theoretical specification and sampling properties of autocorrelated time series. Journal of the Royal Statistical Society, Series B 8 (1946) 27-41
3. Beersma J.J., and Buishand T.A. Multi-site simulation of daily precipitation and temperature conditional on the atmospheric circulation. Climate Research 25 (2003) 121-133
4. Buishand T.A. Estimation of a large quantile of the distribution of multi-day seasonal maximum rainfall: the value of stochastic simulation of long duration sequences. Climate Research 34 (2007) 185-194
5. Buishand T.A., and Beersma J.J. Jackknife tests for differences in autocorrelation between climate time series. Journal of Climate 6 (1993) 2490-2495
6. Buishand T.A., and Beersma J.J. Statistical tests for comparison of daily variability in observed and simulated climates. Journal of Climate 9 (1996) 2538-2550
7. Buishand T.A., and Brandsma T. Multi-site simulation of daily precipitation and temperature in the Rhine basin by nearest-neighbour resampling. Water Resources Research 37 (2001) 2761-2776
8. Charles S.P., Bates B.C., and Hughes J.P. A spatiotemporal model for downscaling precipitation occurrence and amounts. Journal of Geophysical Research 104 (1999) 31657-31669
9. Cleveland W.S. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74 (1979) 829-836
10. Fernandez B., and Salas J.D. Periodic gamma autoregressive processes for operational hydrology. Water Resources Research 22 (1986) 1385-1396
11. Gaver D.P., and Lewis P.A.W. First-order autoregressive gamma sequences and point processes. Advances in Applied Probability 12 (1980) 727-745
12. Harrold T.I., Sharma A., and Sheater S.J. A nonparametric model for stochastic generation of daily rainfall occurrence. Water Resources Research 39 (2003) 10.1029/2003WR002182
13. Harrold T.I., Sharma A., and Sheater S.J. A nonparametric model for stochastic generation of daily rainfall amounts. Water Resources Research 39 (2003) 10.1029/2003WR002570
14. Hosking J.R.M., and Wallis J.R. Regional Frequency Analysis: An Approach Based on L-moments (1997), Cambridge University Press, Cambridge, UK
15. Hughes J.P., and Guttorp P. A class of stochastic models for relating synoptic atmospheric patterns to regional hydrologic phenomena. Water Resources Research 30 (1994) 1535-1546
16. Lall U., and Sharma A. A nearest neighbor bootstrap for resampling hydrologic time series. Water Resources Research 32 (1996) 679-693
17. Landwehr J.M., Matalas N.C., and Wallis J.R. Probability weighted moments compared with some traditional techniques in estimating Gumbel parameters and quantiles. Water Resources Research 15 (1979) 1055-1064
18. Lawrance A.J. Some autoregressive models for point processes. In: Bartfai P., and Tomko J. (Eds). Proceedings Colloquia Mathematica Societatis János Bolyai (1980), Elsevier, Amsterdam
19. Leander R., Buishand T.A., Aalders P., and de Wit M.J.M. Estimation of extreme floods of the river Meuse using a stochastic weather generator and a rainfall-runoff model. Hydrological Sciences Journal 50 (2005) 1089-1103
20. Leander R., and Buishand T.A. Resampling of regional climate model output for the simulation of extreme river flows. Journal of Hydrology 332 (2007) 487-496
21. Leander R., Buishand T.A., van den Hurk B.J.J.M., and de Wit M.J.M. Estimated changes in flood quantiles of the river Meuse from resampling of regional climate model output. Journal of Hydrology 351 (2008) 331-343
22. Lindström G., Johansson B., Persson M., Gardelin M., and Bergström S. Development and test of the distributed HBV-96 hydrological model. Journal of Hydrology 201 (1997) 272-288
23. McKenzie E. Product autoregression: a time-series characterization of the gamma distribution. Journal of Applied Probability 19 (1982) 463-468
24. Mehrotra R., and Sharma A. A nonparametric stochastic downscaling framework for daily rainfall at multiple locations. Journal of Geophysical Research 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. Journal of Hydrology 335 (2006) 180-193
26. Mehrotra R., and Sharma A. Conditional resampling of hydrologic time series using multiple predictor variables: a K-nearest neighbour approach. Advances in Water Resources 29 (2006) 987-999
27. Mehrotra R., and Sharma A. Preserving low-frequency variability in generated daily rainfall sequences. Journal of Hydrology 345 (2007) 102-120
28. Mejía J.M., and Rodríguez-Iturbe I. Correlation links between normal and log-normal processes. Water Resources Research 10 (1974) 689-691
29. Prairie J.R., Rajagopalan B., Fulp T.J., and Zagona E.A. Modified k-nn model for stochastic streamflow simulation. Journal of Hydrologic Engineering 11 (2006) 371-378
30. Rajagopalan B., and Lall U. A k-nearest-neighbor simulator for daily precipitation and other variables. Water Resources Research 35 (1999) 3089-3101
31. Richardson, C.W., 1977. A Model of Stochastic Structure of Daily Precipitation Over an Area. Hydrology Paper 91. Colorado State University, Fort Collins, Colorado.
32. von Storch H. On the use of "inflation" in statistical downscaling. Journal of Climate 12 (1999) 3505-3506
33. Weiss G. Shot noise models for the generation of synthetic streamflow data. Water Resources Research 13 (1977) 101-108
34. Wilks D.S. Multisite generalization of a daily stochastic precipitation generation model. Journal of Hydrology 210 (1998) 178-191
35. Woolhiser D.A. Modeling daily precipitation-progress and problems. In: Walden A.T., and Guttorp P. (Eds). Statistics in Environmental and Earth Sciences (1992), Edward Arnold, London
36. Young K.C. A multivariate chain model for simulating climatic parameters from daily data. Journal of Applied Meteorology 33 (1994) 661-671