Probabilistic streamflow generation model for data sparse arid watersheds

Journal of the American Water Resources Association

Volumn 43, Issue 5, 2007, Pages 1142-1154

  Shamir, Eylon ^a   Wang, Jianzhong ^a   Georgakakos, Konstantine P ^a,b  

^a HYDROLOGIC RESEARCH CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Arid land hydrology; Monte Carlo simulation; Precipitation; Runoff; Stochastic hydrology

Indexed keywords

COMPUTER SIMULATION; DRAINAGE; RAIN; RUNOFF; STOCHASTIC CONTROL SYSTEMS; STREAM FLOW; WEATHERING;

ARID LAND HYDROLOGY; GAUGE RECORD; STOCHASTIC HYDROLOGY;

WATERSHEDS;

COMPUTER SIMULATION; DRAINAGE; RAIN; RUNOFF; STOCHASTIC CONTROL SYSTEMS; STREAM FLOW; WATERSHEDS; WEATHERING;

MONTE CARLO ANALYSIS; PRECIPITATION ASSESSMENT; PRECIPITATION INTENSITY; RIVER DISCHARGE; STREAMFLOW; WATERSHED;

ARGENTINA; MEXICO [NORTH AMERICA]; NORTH AMERICA; SANTA CRUZ [ARGENTINA]; SANTA CRUZ RIVER; SOUTH AMERICA;

EID: 34548666601     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2007.00094.x     Document Type: Article

References (31)

1. Aksoy, H., 2003. Markov Chain-Based Modeling Techniques for Stochastic Generation of Daily Intermittent Streamflows. Advances in Water Resources 26 : 663 671.
2. Aksoy, H. M. Bayazit, 2000. A Model for Daily Flows of Intermittent Streams. Hydrological Processes 14 (10 1725 1744.
3. Arnaud, P. J. Lavabre, 2002. Coupled Rainfall Model and Discharge Model for Flood Frequency Estimation. Water Resources Research 38 (6 11.1 11.11.
4. Blazkova, S. K. Beven, 1997. Flood Frequency Prediction for Data Limited Catchments in the Czech Republic Using a Stochastic Rainfall Model and TOPMODEL. Journal of Hydrology 195 : 256 278.
5. Chang, T.J., J.W. Delleur M.L. Kavvas, 1987. Application of Discrete Autoregressive Moving Average Models for Estimation of Daily Runoff. Journal of Hydrology 91 : 119 135.
6. Chebaane, M., J.D. Salas D.C. Bose, 1995. Product Periodic Autoregressive Processes for Modeling Intermittent Monthly Streamflow. Water Resources Research 31 (6 1513 1518.
7. Cigizoglu, H.K., P.T. Adamson A.V. Metcalfe, 2002. Bivariate Stochastic Modeling of Ephemeral Streamflow. Hydrological Processes 16 (7 1451 1465.
8. Dudhia, J.A., 1993. Nonhydrostatic Version of the Penn State/NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front. Monthly Weather Review 121 : 1493 1513.
9. Foufoula-Georgiou, E. K.P. Georgakakos, 1988. Recent Advances in Space-Time Precipitation Modeling and Forecasting, Recent Advances in the Modeling of Hydrologic Systems. NATO, NATO ASI Series.
10. Georgakakos, K.P. M.L. Kavvas, 1987. Precipitation Analysis Modeling and Prediction in Hydrology. Geophysical Review 25 (2 163 178.
11. Haan, C.T., D.M. Allen J.O. Street, 1976. A Markov Chain Model of Daily Rainfall. Water Resources Research 12 : 443 449.
12. Jacobs, B.L., I. Rodriguez-Iturbe P.S. Eagleson, 1988. Evaluation of a Homogeneous Point Process Description of Arizona Thunderstorm Rainfall. Water Resources Research 24 (7 1174 1186.
13. Kisiel, C.C., L. Duckstein M. Fogel, 1971. Analysis of Ephemeral Flows in Arid Lands. Journal of Hydraulic Engineering - ASCE 97 (10 1699 1717.
14. Morin, E., D.C. Goodrich, R.A. Maddox, X. Gao, H.V. Gupta S. Sorooshian, 2006. Spatial Patterns in Thunderstorm Rainfall Events and Their Coupling With Watershed Hydrological Response. Advances in Water Resources 29 (6 843 860.
15. Morin, J., D. Rosenfeld E. Amitai, 1995. Radar Rain Field Evaluation and Possible Use of Its High Temporal and Spatial Resolution for Hydrological Purposes. Journal of Hydrology 172 : 275 292.
16. Osborn, H.B., K.G. Renard J.R. Simanton, 1979. Dense Networks to Measure Convective Rainfalls in the Southwestern United States. Water Resources Research 15 (6 1701 1711.
17. Putman, F., 1983. Report on the Hydrology of the Buena. Hydrology Division, Arizona Department of Water Resources, Vista Area, Santa Cruz County, Arizona, pp. 96.
18. Restrepo-Posada, P.J. P.S. Eagleson, 1982. Identification of Independent Rainstorms. Journal of Hydrology 55 : 303 319.
19. Rodriguez-Iturbe, I., D.R. Cox V. Isham, 1987. Some Models for Rainfall Based on Stochastic Point Processes. Proceedings of the Royal Society A410 : 269 288.
20. Rodriguez-Iturbe, I., D.R. Cox V. Isham, 1988. A Point Process Model for Rainfall: Further Developments. Proceedings of the Royal Society A417 : 283 298.
21. Salas, J.D., 1993. Analysis and Modeling of Hydrologic Time Series. In : Chapter 19 in Handbook of Hydrology, D.R. Maidment (Editor). McGraw-Hill, New York.
22. Salas, J.D. M. Chebaane, 1990. Stochastic Modeling of Monthly Flows in Streams of Arid Regions, Proceedings of the International Symposium HY&IR Division, American Society of Civil Engineering, San Diego, California, pp. 749 755.
23. Shamir, E.D., M. Meko, N.E. Graham K.P. Georgakakos, 2007. Hydrologic Model Framework for Water Resources Planning in the Santa-Cruz River, Southern Arizona. Journal of American Water Resources Association (JAWRA) 43 (5 1155 1170.
24. Sheppard, P.R., A.C. Comrie, G.D. Peckin, K. Angersbach M.K. Hughs, 1999. The Climate of the Southwest. Tucson AZ Institute of the Study of Planet Earth, University of Arizona, 39 pp.
25. Smith, R.E., K.R.J. Smettem, P. Broadbridge D.A. Woolhiser, 2002. Infiltration Theory for Hydrologic Applications v. 15. Water Resources Monograph Series, American Geophysical Union, Washington, DC, 212 pp.
26. Srikanthan, R. T.A. McMahon, 1980. Stochastic Generation of Monthly Flows for Ephemeral Streams. Journal of Hydrology 47 (1 19 40.
27. Wang, J. K.P. Georgakakos, 2005. Validation and Sensitivities of Dynamic Precipitation Simulation for Winter Events Over the Folsom Lake Watershed: 1964-99. Monthly Weather Review 133 (1 3 19.
28. Waymire, E. V.K. Gupta, 1981. The Mathematical Structure of Rainfall Representation: A Review of the Theory of Point Processes. Water Resources Research 17 (5 1273 1285.
29. Webb, R. J.L. Betancourt, 1990. Climatic Variability and Flood Frequency of the Santa Cruz River, Pima County, Arizona. USGS Open - File Report 90-553. United States Geological Survey, Reston, Virginia.
30. Yakowitz, S.J., 1973. A Stochastic Model for Daily River Flow in an Arid Region. Water Resources Research 9 (5 1271 1285.
31. Yevjevich, V., 1972. Stochastic Processes in Hydrology. Water Resources Publications, Fort Collins Colorado.