Streamflow prediction using multi-site rainfall obtained from hydroclimatic teleconnection

Journal of Hydrology

Volumn 395, Issue 1-2, 2010, Pages 23-38

  Kashid, S S ^a   Ghosh, Subimal ^a   Maity, Rajib ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

El Ni o Southern Oscillation (ENSO); Equatorial Indian Ocean Oscillation (EQUINOO); Genetic Programming; Hydroclimatic teleconnection; Mahanadi River; Outgoing Longwave Radiation (OLR)

Indexed keywords

EQUATORIAL INDIAN OCEAN; HYDROCLIMATIC; MAHANADI RIVER; OUTGOING LONGWAVE RADIATION; SOUTHERN OSCILLATION;

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; CATCHMENTS; FUNCTIONAL PROGRAMMING; NICKEL COMPOUNDS; RAIN; RIVERS; RUNOFF; STREAM FLOW; WEATHER FORECASTING;

GENETIC PROGRAMMING;

EL NINO-SOUTHERN OSCILLATION; GENETIC ALGORITHM; LONGWAVE RADIATION; RAINFALL-RUNOFF MODELING; STREAMFLOW; TELECOMMUNICATION;

INDIA; MAHANADI RIVER;

EID: 78349309407     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2010.10.004     Document Type: Article

References (56)

1. Ashok K., Guan Z., Yamagata T. Impact of Indian Ocean dipole on the relationship between the Indian monsoon rainfall and ENSO. Geophysics Research Letters 2001, 28:4499-4502.
2. Ashok K., Guan Z., Saji N., Yamagata T. Individual and combined effect of ENSO and Indian Ocean dipole on the Indian summer monsoon. Journal of Climate 2004, 17(16):3141-3155. 10.1175/1520-0442(2004)017<3141: IACIOE>2.0.CO;2.
3. Barton S.B., Ramirez J.A. Effects of El Niño Southern Oscillation and Pacific Interdecadal Oscillation on water supply in the Columbia River basin. Journal of Water Resources Planning and Management 2004, 130(4):281-289.
4. Brameier, M., 2004. On Linear Genetic Programming. PhD Thesis, Fachbereich Informatik, Universit" at Dortmund, Germany.
5. Cane M.A. Tropical Pacific ENSO Models: ENSO as a mode of couples system. Climate System Modeling 1992, Cambridge University Press, UK. K.E. Trenberth (Ed.).
6. Chandimala J., Zubair L. Predictability of stream flow and rainfall based on ENSO for water resources management in Sri Lanka. Journal of Hydrology 2007, 335:303-312.
7. Chang N.B., Chen W.C. Prediction of PCDDs/PCDFs emissions from municipal incinerators by genetic programming and neural network modeling. Waste Management & Research 2000, 18:341-351.
8. Chau K.W. Calibration of flow and water quality modeling using genetic algorithms. Lecture Notes in Artificial Intelligence 2002, 2557:720.
9. Cheng C.T., Ou C.P., Chau K.W. Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration. Journal of Hydrology 2002, 268(3):72-86.
10. Chiew F.H.S., Piechota T.C., Dracup J.A., McMahon T.A. El Niño/Southern Oscillation and Australian rainfall, streamflow and drought: links and potential for forecasting. Journal of Hydrology 1998, 204:138-149.
11. Chowdhury M.R., Ward N. Hydro-metrological variability in the greater Ganges-Brahmaputra-Meghna basins. International Journal of Climatology 2004, 24:1495-1508.
12. Coulibaly P., Anctil F.F., Rasmussen P., Bobee B. A recurrent neural networks approach using indices of low-frequency climatic variability to forecast regional annual runoff. Hydrological Processes 2000, 14:2755-2777.
13. Dawson C.W., Wilby R. An artificial neural network approach to rainfall-runoff modeling. Hydrological Sciences Journal 1998, 43(1):47-66.
14. Dorado J., Rabunal J.R., Pazos A., Rivero D., Santos A., Puertas J. Prediction and modelling of the rainfall-runoff transformation of a typical urban basin using ANN and GP. Applied Artificial Intelligence 2003, 17:329-343.
15. Douglas W.W., Wasimi S.A., Islam S. The El Niño Southern Oscillation and long-range forecasting of flows in Ganges. International Journal of Climatology 2001, 21:77-87.
16. Dracup J.A., Kahya E. The relat0069onship between US streamflow and La Niña events. Water Resources Research 1994, 30(7):2133-2141.
17. Drunpob, A., Chang, N.B., Beaman M., 2005. Stream flow rate prediction using genetic programming model in a semi-arid coastal watershed. In: Proceedings of EWRI 2005, ASCE.
18. Eltahir E.A.B. El Niño and the natural variability in the flow of the Nile River. Water Resources Research 1996, 32(I):131-137.
19. Francone F.D. Discipulus Owner's Manual 1998, Machine Learning Technologies, Inc., Littleton, Colorado.
20. Gadgil S., Vinayachandran P.N., Francis P.A. Droughts of the Indian summer monsoon: role of clouds over the Indian Ocean. Current Science 2003, 85(2):1713-1719.
21. Gadgil S., Vinayachandran P.N., Francis P.A., Gadgil S. Extremes of the Indian summer monsoon rainfall. ENSO and equatorial Indian Ocean Oscillation. Geographical Research Letter 2004, 31:L12213. 10.1029/2004GLO19733.
22. Haque M.A., Lal M. Space and time variability analyses of the Indian monsoon rainfall as inferred from satellite-derived OLR data. Climate Research 1991, 1:187-197.
23. Hong Y.S., Bhamidimarri R. Evolutionary self-organising modelling of a municipal wastewater treatment plant. Water Research 2003, 37:1199-1212. 10.1016/S0043-1354(02)00493-1.
24. Hsu K.L., Gupta H.V., Sorooshian S. Artificial neural network modeling of the rainfall-runoff process. Water Resources Research 1995, 31(10):2517-2530.
25. Jain S., Lall U. Floods in a changing climate: does the past represent the future?. Water Resources Research 2001, 37(12):3193-3205.
26. Jayawardena, A.W., Muttil, N., Fernando, T.M.K.G., 2005. Rainfall-Runoff Modeling Using Genetic Programming. http://mssanz.org.au.
27. Kane R.P. Extremes of the ENSO phenomenon and Indian summer monsoon rainfall. International Journal of Climatology 1998, 18:775-791.
28. Koza J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection 1992, MIT Press, Cambridge, MA, USA.
29. Krishna Kumar K., Rajagopalan B., Cane M.A. On the weakening relationship between the Indian Monsoon and ENSO. Science 1999, 284(5423):2156-2159. 10.1126/science.284.5423.2156.
30. Li T., Zhang Y.S., Chang C.P., Wang B. On the relationship between Indian Ocean sea surface temperature and Asian summer monsoon. Geophysical Research Letters 2001, 28:2843-2846.
31. Liong, S.Y., Nguyen, V.T., Gautam, T.R., Wee, L., 2001. Alternative well calibrated rainfall-runoff model: genetic programming scheme. In: Paper Presented at World Water and Environmental Resources Congress 2001, Orlando, Florida, USA, pp. 777-787. doi:. doi:10.1061/40583(275)73.
32. Maity R., Kashid S.S. Short-term basin-scale streamflow forecasting using large-scale coupled atmospheric-oceanic circulation and local outgoing longwave radiation. Journal of Hydrometeorology 2010, 11(2):370-387.
33. Maity R., Nagesh Kumar D. Bayesian dynamic modeling for monthly Indian summer monsoon rainfall using ENSO and EQUINOO. Journal of Geophysical Research 2006, III:D07104. 10.1029/2005JD006539.
34. Maity R., Nagesh Kumar D. Hydroclimatic teleconnection between global sea surface temperature and rainfall over India at subdivisional monthly scale. Hydrological Processes 2007, 21:1802-1813. 10.1002/hyp.6300.
35. Maity R., Nagesh Kumar D. Basin-scale streamflow forecasting using the information of large-scale atmospheric circulation phenomena. Hydrological Processes 2008, 22:643-650. 10.1002/hyp.
36. Makkeasorn A., Chang N.B., Zhou X. Short-term streamflow forecasting with global climate change implications - a comparative study between genetic programming and neural network models. Journal of Hydrology 2008, 352:336-354.
37. Marcella M.P., Eltahir E.A.B. The hydroclimatology of Kuwait: explaining the variability of rainfall at seasonal and interannual time scales. Journal of Hydrometeorology 2008, 9:1095-1105.
38. Minns A.W., Hall M.J. Artificial neural networks as rainfall-runoff models. Hydrological Sciences Journal 1996, 41(3):399-418.
39. Muttil, N., Liong, S.Y., 2001. Improving runoff forecasting by input variable selection in genetic programming. In: ASCE World Water Congress, vol. 111, Orlando, Florida, USA, 20-24 May, pp. 76-76. doi:. doi:10.1061/40569(2001)76.
40. Nageswara Rao G. Interannual variation of monsoon rainfall in Godavari River basin - connections with the Southern Oscillation. Journal of Climate 1997, 11:768-771.
41. Olivera R., Loucks D.P. Operating rules for multireservoir systems. Water Resources Research 1997, 33(4):839-852.
42. Ozelkan E.C., Duckstein L. Fuzzy conceptual rainfall-runoff models. Journal of Hydrology 2001, 253(1-4):41-68.
43. Parthasarathy B., Diaz H.F., Eischeid J.K. Prediction of all India summer monsoon rainfall with regional and large-scale parameters. Journal of Geophysics Research 1988, 93(5):5341-5350.
44. Piechota T.C., Dracup J.A., Fovell R.G. Western US streamflow and atmospheric circulation patterns during El Niño-Southern Oscillation. Journal of Hydrology 1997, 201:249-271.
45. Raman H., Sunilkumar N. Multivariate modeling of water resources time series using artificial neural networks. Hydrological Sciences Journal 1995, 40(2):145-163.
46. Rasmusson E.M., Carpenter T.H. The relationship between eastern equatorial Pacific sea surface temperature and rainfall over India and Sri Lanka. Monthly Weather Review 1983, 111:517-528.
47. Saji N.H., Goswami B.N., Vinayachandran P.N., Yamagata T. A dipole mode in the tropical Indian Ocean. Nature 1999, 401:360-363.
48. Savic D.A., Walters G.A., Davidson J.W. A genetic programming approach to rainfall-runoff modeling. Water Resources Management 1999, 13:219-231.
49. Toth E., Brath A., Montanari A. Comparison of short term rainfall prediction models for real time flood forecasting. Journal of Hydrology 2000, 239(1-4):132-147. 10.1016/s0022-1694(00)00344-9.
50. Wang Q.J. The genetic algorithm and its application to calibrating conceptual rainfall-runoff models. Water Resources Research 1991, 27(9):2467-2471.
51. Wardlaw R., Sharif M. Evaluation of genetic algorithms for optimal reservoir system operation. Journal of Water Resources Planning and Management, ASCE 1999, 125(1):25-33.
52. Webster P., Hoyos C. Prediction of monsoon rainfall and river discharge on 15-30 day timescale. Bulletin of American Meteorological Society 2004, 10.1175/BAMS-85-11-1745.
53. Whigham P.A., Crapper P.F. Modeling rainfall-runoff using genetic programming. Mathematical and Computer Modeling 2001, 33:707-721. (Canberra, Australia).
54. Xie P., Arkin P.A. Global monthly precipitation estimates from satellite-observed outgoing longwave radiation. Journal of Climate 1998, 11:137-164.
55. Xiong L., Asaad Y., Shamseldin Y., O'Connor K.M. A non-linear combination of the forecast of rainfall-runoff models by first order Takagi-Sugeno fuzzy system. Journal of Hydrology 2001, 254(1-4):196-217.
56. Yu P.S., Chen C.J., Chen S.J. Application of gray and fuzzy methods for rainfall forecasting. Journal of Hydrologic Engineering, ASCE 2000, 5(4):339-345.