Document Type : Original Article
Authors
1 Department of Geography,Faculty of Management, Police University, Tehran
2 graduated of water engineering Isfahan university
Abstract
Keywords
. آذرانفر،آرش. ابریشمچی، احمد و مسعود تجریشی. 1385. ارزیابی تغییرات بارش و دما بر تغییر اقلیم با استفاده از خروجی مدلهای چرخش عمومی، دومین کنفرانس مدیریت منابع آب، دانشگاه صنعتی اصفهان.
6.Beecham, S., Rashid, M. and Chowdhury, R.K. (2014). Statistical downscaling of multi-site daily Rainfall in a South Australian catchment using a Generalized Linear Model. International Journal of Climatology, 34(14): 3654–3670.
7.Delworth T. L., Broccoli, A.J., A. Rosati, Stouffer, R.J., Balaji, V. and Beesley, J.A. (2006). GFDL's CM2 global coupled climate models, part Ι: formulation and simulation characteristics. J. Clim. 19: 643-674.
8.Deque, M., Dreveton, C., Braun, A. and Cariolle, D. (1994). The ARPEGE/Ifs atmosphere model: a contribution to French community climate modeling. Clim. Dyn. 10: 249-266.
9.Diansky N.A., Bagno, A.V. and Zalensny, V.B. (2002). Sigma model of global ocean circulation and its sensitivity to variations in wind stress. Izv. Atmos. Ocean. Phys. 38: 477-494.
10.Dibike, Y.B. and Coulibaly, P. (2005). Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. J. Hydrol. 307: 145-163.
11.Gordon, C., Cooper, C., Senior, C.A., Banks, H., Gregory, J.M., and Johns T.C. et al. (2000). The simulation of SST, sea ice extents and ocean heat transports in a version of Hadley Center coupled model without flux adjustments. Clim. Dyn. 16: 147-168.
12.Gordon, H.B., Rotstayn, L.D., McGregor, J.L., Dix, M.R., Kowalczyk, E.A., and O'Farrell, S.P. et al. (2002). The CSIRO Mk3 climate system model (electronic publication). CSIRO Atmospheric Research technical paper, No. 60, Aspendale: CSIRO Atmospheric Research.
13.Greene, A.M., Goddard, L. and Lall, L. (2006). Probabilistic multi-model regional temperature change projections. J. Clim. 19: 4326-4346
14.Hashmi M.Z., Shamseldin, A.Y. and Melville, B.W. (2011). Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed. Stoch. Environ. Res. Risk. Asses. 25: 475-484.
15.IPCC. (2007). Summary for Policymakers in Climate Change, The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge. pp. 1-18.
16.Kiehl J.T., J.J. Hack, G.B., Bonan, B.A., Boville, D.L., Williamson and Rasch, P.J. (1998). The National Center for Atmospheric Research Community Climate Model: CCM3. J. Clim. 11: 1131-1149.
17.Kim, B.S., Kim, H.S., Seoh, B.H. and Kim, N.W. (2007). Impact of climate change on water resources in Yongdam Dam Basin, Korea. Stochastic Environmental Research and Risk Assessment, 21: 355–373.
18.Lane, M.E., Kirshen, P.H. and Vogel, R.M. (1999). Indicators of impact of global climate change on U.S. water resources. J. Water Resour. Plann. Manage. ASCE. 125: 194-204
19.Marti, O., Braconnot, P., Bellier, J., and Benshila, R. et al. (2005). The new IPSL climate system model: IPSL-CM4. Institut Pierre Simon Laplace, Paris, 84 pp.
20.Mason, S.J. 2004. Simulating climate over western North America using stochastic weather generators. Clim. Change. 62: 155-187.
21.Maurer, E.P. (2009). Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America. Hydrol. Earth Syst. Sci. 13: 183-194.
22.McFarlane N.A., Boer, G.J., Blanchet, J.P. and M. Lazare M. (1992). The Canadian Climate Centre second-generation general circulation model and its equilibrium climate. J. Clim. 5: 1013-1044.
23.Minville, M., Brissette, F. and Leconte, R. (2008). Uncertainty of the impact of climate change on the hydrology of a Nordic watershed. J. Hydrol. 358: 70-83.
24.Mitchell J.F.B., Johns, T.C., Eagles, M., Ingram, W.J. and Davis, R.A. (1999). Towards the construction of climate change scenarios. Clim. Change. 41: 547-581.
25.Morid, S. and Massah Bavani, A.R. (2010). Exploration of potential adaptation strategies to climate change in the Zayandeh Rud irrigation system, Iran. J. Irrig. Drain. ASCE. 59: 226-238.
26.Wilks, D.S. (1992). Adapting stochastic weather generation algorithms for climate change studies. Climate Change, 22(1): 67–84.
27.Wolff, J.O., Maier-Raimer, E. and Legutke, S. (1997). The Hamburg ocean primitive equation model. Deutches Klimarechenzentrum Tech. Rep. 13, Hamburg, Germany.
28.Semenov, M.A. and Barrow, E.M. (2002). LARS-WG a stochastic weather generator for use in climate Impact studies. User Manual, Rothamstead Research, Hertfordshire, 34 pages.
29.Schmidt G.A., Ruedy, R., Hansen, J.E., Aleinov, I., Bell, N. and Bauer, M. et al. (2006). Present day atmospheric simulations using GISS ModelE: comparison to in-situ, satellite and reanalysis data. J. Clim. 19: 153-192
30.Strauss, F., Formayer, H. and Schmid, E. (2013). High resolution climate data for Austria in the period 2008–2040 from a statistical climate change model. Int. J. Climatol. 33: 430-443.
31.Zareian, M. Ja., Eslamian, S. and Safavi, H.R. (2014). A modified regionalization weighting approach for climate change impact assessment at watershed scale. Theoretical and Applied Climatology, Springer-Verlag Wien. PP. 497-516.