Generating synthetic rainfall on various timescales - Daily, monthly and yearly

MODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings

Volumn , Issue , 2007, Pages 2910-2916

  Piantadosi, J ^a   Boland, J W ^a   Howlett, P G ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

Author keywords

Copulas; Correlation; Daily; Monthly; Yearly rainfall

Indexed keywords

DIGITAL STORAGE; ENVIRONMENTAL MANAGEMENT; INTEGRATED CONTROL; MAXIMUM LIKELIHOOD; RANDOM NUMBER GENERATION; RISK ASSESSMENT; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; STORMS; SUSTAINABLE DEVELOPMENT; WATER MANAGEMENT; WATER RECYCLING; WATER SUPPLY;

MATRIX ANALYTIC METHODS; OBSERVED PROBABILITIES; RAINFALL SEQUENCES; RAINFALL VARIABILITY; STOCHASTIC RAINFALLS; STORM-WATER MANAGEMENTS; SYNTHETIC RAINFALLS; WATER RESOURCES SYSTEMS;

RAIN;

EID: 80052923708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Australian Bureau of Meteorology (2004), Bureau of Meteorology http://www.bom.gov.au.
2. Chiew, F.H.S., R. Srikanthan, A.J. Frost and E.G.I Payne (2005), Reliability of daily and annual stochastic rainfall data generated from different data lengths and data characteristics, MODSIM2005, Melbourne, Dec. 2005, 1223-1229.
3. Cooke, R. M. and R. Waij (1986), Monte Carlo sampling for generalized knowledge dependence with application to human reliability, Risk Analysis, 6, 335-343. (Pubitemid 16032605)
4. Dick, N.P. and D.C. Bowden (1973), Maximum likelihood estimation for mixtures of two normal distributions, Biometrics, 29, 781-790.
5. Guenni, L., M.F. Hutchinson,W. Hogarth, C.W. Rose and R. Braddock (1996), A model for seasonal variation of rainfall at Adelaide and Turen, Ecological Modelling, 85, 203-217.
6. Howlett, P.G., J. Piantadosi, and C.E.M. Pearce (2005), Analysis of a practical control policy for water storage in two connected dams, Cont. opt.. V. Jeyakumar and A. Rubinov (eds.), Springer-Verlag, NY, 99, 433-450.
7. Katz, R.W. and M.B. Parlange (1998), Overdispersion phenomenon in stochastic modelling of precipitation, J. Climate, 11, 591-601. (Pubitemid 28392570)
8. Lewandowski, D. (2005), Generalized diagonal band copulas, Insurance Math. and Econ., 37, 49-67.
9. Malaysian Meteorological Department (2007), Jabatan Perkhidmatan Kajicuaca Malaysia.
10. Nelson, R.D. (1999), An introduction to copulas, Springer Lecture Notes in Statistics, New York.
11. Press, W.H., B.P. Flannery, S.A. Teukolsky and W.T. Vettering (1992), Numerical recipes in C: The art of scientific computing, Cambridge Press, NY.
12. Piantadosi, J. (2004), Optimal policies for storage of urban stormwater, PhD Thesis, University of South Australia.
13. Piantadosi, J., P.G. Howlett and J.W. Boland (2007a), Matching the grade correlation coefficient using a copula with maximum disorder, J.I.M.O., 3(2), 305-312.
14. Piantadosi, J., P.G. Howlett and J.W. Boland (2007b), A new model for correlated daily rainfall, (in preparation).
15. Rosenberg, K., J.W. Boland and P.G. Howlett (2004), Simulation of monthly rainfall totals, ANZIAM J., 46(E), E85-E104.
16. Srikanthan, R. (2005), Stochastic Generation of Daily Rainfall Data, MODSIM2005, Melbourne, 12-15 Dec. 2005, 1915-1921.
17. Srikanthan, R. and T. A. McMahon (2001), Stochastic generation of annual, monthly and daily climate data: A review, Hydr. and Earth Sys. Sci., 5(4), 633-670.
18. Stern, R. D. and R. Coe (1984), A model fitting analysis of daily rainfall, J. Roy. Statist. Soc. A, 147, Part 1, 1-34.
19. Wilks, D.S. and R.L.Wilby (1999), The weather generation game: a review of stochastic weather models, Prog. Phys. Geog., 23(3), 329-357.