A new daily weather generator to preserve extremes and low-frequency variability

Climatic Change

Volumn 119, Issue 3-4, 2013, Pages 631-645

  Khazaei, Mohammad Reza ^a,b   Ahmadi, Shahin ^a   Saghafian, Bahram ^c   Zahabiyoun, Bagher ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE SCENARIOS; LOW FREQUENCY VARIABILITY; MAXIMUM AND MINIMUM TEMPERATURES; RAINFALL-RUNOFF MODELS; SECONDARY VARIABLES; STATISTICAL CHARACTERISTICS; STOCHASTIC RAINFALLS; STOCHASTIC WEATHER GENERATOR;

COMPUTER SIMULATION; METEOROLOGY; RAIN; RUNOFF; STOCHASTIC SYSTEMS;

STOCHASTIC MODELS;

CLIMATE CHANGE; DIURNAL VARIATION; MULTIVARIATE ANALYSIS; PRECIPITATION (CLIMATOLOGY); RAINFALL-RUNOFF MODELING; STOCHASTICITY;

EID: 84880572976     PISSN: 01650009     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10584-013-0740-5     Document Type: Article

References (35)

1. Abdulla FA, Lettenmaier DP, Liang X (1999) Estimation of the ARNO model baseflow parameters using daily streamflow data. J Hydrol 222: 37-54.
2. Boughton W (2006) Calibrations of a daily rainfall-runoff model with poor quality data. Environ Model Softw 21: 1114-1128. doi: 10. 1016/j. envsoft. 2005. 05. 011.
3. Burton A, Kilsby CG, Fowler HJ, Cowpertwait PSP, O'Connell PE (2008) RainSim: a spatial-temporal stochastic rainfall modeling system. Environ Model Softw 23: 1356-1369. doi: 10. 1016/j. envsoft. 2008. 04. 003.
4. Caron A, Leconte R, Brissette F (2008) An improved stochastic weather generator for hydrological impact studies. Can Water Resour J 33: 233-255.
5. Chen J, Brissette FP, Leconte R (2010) A daily stochastic weather generator for preserving low-frequency of climate variability. J Hydrol 388: 480-490.
6. Cowpertwait PSP (1991) Further developments of the neyman-scott clustered point process for modeling rainfall. Water Resour Res 27: 1431-1438.
7. Cowpertwait PSP, Kilsby CG, O'Connell PE (2002) A space-time Neyman-Scott model of rainfall: Empirical analysis of extremes. Water Resour Res 38(8): 1131. doi: 10. 1029/2001WR000709.
8. Cox DR, Isham V (1994) Stochastic models of precipitation. Statistics for the environment 2, Water issues. Wiley, New York.
9. Dibike YB, Coulibaly P (2005) Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. J Hydrol 307: 145-163. doi: 10. 1016/j. hydrol. 2004. 10. 012.
10. Dubrovsky M (1997) Creating daily weather series with use of the weather generator. Environmetrics 8: 409-424.
11. Dubrovsky M, Buchtele J, Zalud Z (2004) High-frequency and low-frequency variability in stochastic daily weather generator and its effect on agricultural and hydrologic modelling. Clim Chang 63: 145-179.
12. Favre A-C, Musy A, Morgenthaler S (2004) Unbiased parameter estimation of the Neyman-Scott model for rainfall simulation with related confidence interval. J Hydrol 286: 168-178.
13. Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. Int J Climatol 27: 1547-1578. doi: 10. 1002/Joc. 1556.
14. Hansen JW, Mavromatis T (2001) Correcting low-frequency variability bias in stochastic weather generators. Agric For Meteorol 109: 297-310.
15. IPCC (2001) Climate change 2001. Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, UK, p 1032.
16. Jones PG, Thornton PK (1993) A rainfall generator for agricultural applications in the tropics. Agric For Meteorol 63: 1-19.
17. Kamali M, Ponnambalam K, Soulis ED (2007) Computationally efficient calibration of WATCLASS Hydrologic models using surrogate optimization. Hydrol Earth Syst Sci Discuss 4: 2307-2321.
18. Khazaei MR, Zahabiyoun B, Saghafian B (2012) Assessment of climate change impact on floods using weather generator and continuous rainfall-runoff model. Int J Climatol 32: 1997-2006.
19. Kilsby CG, Jones PD, Burton A, Ford AC, Fowler HJ, Harpham C, James P, Smith A, Wilby RL (2007) A daily weather generator for use in climate change studies. Environ Model Softw 22: 1705-1719. doi: 10. 1016/j. envsoft. 2007. 02. 005.
20. Mavromatis T, Hansen JW (2001) Interannual variability characteristics and simulated crop response of four stochastic weather generators. Agric For Meteorol 109: 283-296.
21. Nicks AD, Gander GA (1994) CLIGEN: A weather generator for climate inputs to water resource and other models. In: Proceedings of the 5th International Conference on Computers in Agriculture. American Society of Agricultural Engineers, St. Joseph, pp 3-94.
22. Olsson J, Burlando P (2002) Reproduction of temporal scaling by a rectangular pulses rainfall model. Hydrol Process 16: 611-630.
23. Onof C, Chandler RE, Kakou A, Northrop P, Wheater HS, Isham V (2000) Rainfall modelling using Poisson-cluster processes: a review of developments. Stoch Env Res Risk A 14: 384-411.
24. Richardson CW (1981) Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resour Res 17(1): 182-190.
25. Richardson C, Wright D (1984) WGEN: A model for generating daily weather variables. US Department of Agriculture, Agricultural Research Service, ARS-8. USDA, Washington, DC, p 86.
26. Sanso B, Guenni L (1999) A stochastic model for tropical rainfall at a single location. J Hydrol 214: 64-73.
27. Semenov M, Stratonovitch P (2010) Use of multi-model ensembles from global climate models for assessment of climate change impacts. Clim Res 41: 1-14. doi: 10. 3354/cr00836.
28. Semenov MA, Brooks RJ, Barrow EM, Richardson CW (1998) Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Clim Res 10: 95-107.
29. Srikanthan R, McMahon TA (2001) Stochastic generation of annual, monthly and Daily climate data: a review. Hydrol Earth Syst Sci 5: 653-670.
30. Todini E (1988) Il modello afllussi deflussi del fiume Amo. Relazione Generale dello studio per conto della Regione Toscana, Tech. Report, Bologna.
31. Todini E (1996) The ARNO rainfall-runoff model. J Hydrol 175: 339-382.
32. Wang QJ, Nathan RJ (2007) A method for coupling daily and monthly time scales in stochastic generation of rainfall series. J Hydrol 346: 122-130.
33. Wilby RL, Christian WD (2007) SDSM 4. 1- a decision support tool for the assessment of regional climate change impacts, User Manual. http://co-public. lboro. ac. uk/cocwd/SDSM/SDSMManual. pdf.
34. Wilks DS, Wilby RL (1999) The weather generation game: a review of stochastic weather models. Prog Phys Geogr 23: 329-357.
35. Zhang GP, Savenije HHG (2005) Rainfall-runoff modelling in a catchment with a complex groundwater flow system: application of the Representative Elementary Watershed (REW) approach. Hydrol Earth Syst Sci 9: 243-261.