روش‌های ترکیبی چندگانه مدل‌سازی برای تجزیه و تحلیل شبیه‌سازی‌های هیدرولوژیکی (مطالعه موردی: زیرحوضه آبریز قره‌سو، استان کرمانشاه)

1.Ajami, N.K., Duan, Q., Gan, X., and Sorooshian, S. 2006. Multimodel combination techniques for analysis of hydrological simulations: application to distributed model intercomparison project results. J. Hydrometeorol. 7: 4. 755-768.

2.Bates, J.M., and Granger, C.W.J. 1969. The combination of forecasts. J. Oper. Res. Soc. 20: 4. 451-468.

3.Clemen, R.T. 1989. Combining forecasts: A review and annotated bibliography. Inter. J. Forecast. 5: 4. 559-583.

4.Dickinson, J.P. 1973. Some statistical results in the combination of forecast. J. Oper. Res. Soc. 24: 2. 253-260.

5.Dinpashoh, Y. 2006. Study of reference crop evapotranspiration in I.R. of Iran. J. Agric. Water Manage. 84: 1-2. 123-129.

6.Dovonec, E. 2000. A physically base distributed hydrologic model,M.Sc. Thesis, the Pennsylvania State University.

7.Farahmand Rad, M. 2016. Multi-objective calibration of conceptual hydrological model based on geomorphological instantaneous unit hydrograph (GIUH) using AMALGAM algorithm, M.Sc. Thesis, Graduate University of Advanced Technology. 116p. (In Persian)

8.Fraedrich, K., and Smith, N.R. 1989. Combining predictive schemes in long-range forecasting. J. Clim. 2: 3. 291-294.

9.Geetha, K., Mishra, S.K., Eldho, T.I., Rastogi, A.K., and Pandey, R.P. 2008. SCS-CN-based continuous simulation model for hydrologic forecasting. Water Resources Management, 22: 2. 165-190.

10.Geoff, P. 2004. CRC for Catchment Hydrology, Australia, 100p.

11.Georgakakos, K.P., Seo, D.J., Gupta, H., Schake, J., and Butts, M.B. 2004. Characterizing streamflow simulation uncertainty through multi model ensembles. J. Hydrol. 298: 1-4. 222-241.

12.Ghorbani, K., and Salarijazi, M. 2016. Estimation of monthly discharge using climatological and physiographic parameters of ungauged basin. J. Water Soil Cons. 23: 3. 207-224. (In Persian)

13.Jabbari, A., Bahmanesh, J., and Hessari, B. 2017. Modelling the daily runoff of Nazloo Chai watershed at the west side of Urmia Lake. J. Water Soil Cons.23: 6. 123-141. (In Persian)

14.Krishnamurti, T.N., Kishtawal, C.M., LaRow, T., Bachiochi, D., Zhang, Z., Williford, C.E., Gadgil, S., and Surendran, S. 1999. Improved skill of weather and seasonal climate forecasts from multimodel superensemble. J. Sci. 285: 5433. 1548-1550.

15.Krishnamurti, T.N., Kishtawal, C.M., Shin, D.W., and Williford, C.E. 2000a. Improving tropical precipitation forecasts from a multi-analysis superensemble. J. Clim. 13: 23. 4217-4227.

16.Krishnamurti, T.N., Kishtawal,C.M., Zhang, Z., LaRow, T., Bachiochi, D., and Willi Ford, C.E. 2000b. Multimodel ensemble forecastsfor weather and seasonal climate. J. Clim. 13: 23. 4196-4216.

17.Liao, W., and Lei, X. 2012. Multi-model Combination Techniques for Flood Forecasting from the Distributed Hydrological Model EasyDHM. Computational Intelligence and Intelligent Systems, 316: 1. 396-402.

18.Mayers, M., Krishnamurti, T.N., Depradine, C., and Moseley, L. 2001. Numerical weather prediction over the eastern Caribbean using Florida State University (FSU) global and regional spectral models and multi-model/multi-analysis superensemble. J. Meteorol. Atm. Physic. 78: 1-2. 75-88.

19.Newbold, P., and Granger, C.W.J. 1974. Experience with forecasting univariate time series and the combination of forecasts. J. Royal Stat. Soc. 137: 2. 131-146.

20.Pourreza Bilondi, M., Akhoond Ali, A.M., Ghahraman, B., and Telvari, A. 2015. Uncertainty Analysis a single event distributed rainfall-runoff model with using two different Markov Chain Monte Carlo methods. J. Water Soil Cons. 21: 5. 1-26. (In Persian)

21.Pourreza Bilondi, M., Khashei Siuki, A., and Sadeghi Tabas, S. 2015. Daily rainfall-runoff modeling with Least Square Support Vector Machine (LS- SVM). J. Water Soil Cons. 21: 6. 293-304. (In Persian)

22.Rouhani, H., and Farahi Moghadam,M. 2014. Application of the genetic algorithm technique for optimization of the Hydrologic TANK and SIMHHYD Models’ Parameters. J. Range Water. Manage. 66: 4. 521-533. (In Persian)

23.Salmani, H. 2011. Optimization of Effective Parameters in Precipitation-Runoff in Semi Distributed Model SWAT (Case study of GozoghliSub-Basin, Gorgan River Basin, Gorgan Province). Master's Thesis. Department of natural resources. University of Tehran. 158p. (In Persian)

24.Shamseldin, A.Y., O'Connor, K.M., and Liang, G.C. 1997. Methods for combining the outputs of different rainfall-runoff models. J. Hydrol.197: 1-4. 203-229.

25.Spruill, C.A., Workman, S.R., and Taraba, J.L. 2000.Simulation of daily and monthly stream discharge from small watershed using the SWAT model. J. Soil Water Div. ASAE.43: 6. 1431-1440.

26.Thompson, P.D. 1976. How to improve accuracy by combining independent forecasts. J. Month. Weather Rev.
105: 2. 228-229.

27.Yun, W.T., Stefanova, L., and Krishnamurti, T.N. 2003. Improvement of the multimodel superensemble technique for seasonal forecasts. J. Clim. 16: 22. 3834-3840.

28.Zarrin, H., Moghadamnia, A.R., Namdorost, J., and Mosaedi, A. 2013. Simulation of outflow runoff in watersheds without statistics using rainfall- runoff AWBM model (Case study: Sistan and Baluchestan province). J. Water Soil Cons. 20: 2. 195-208.(In Persian)