پیش بینی تغییرات یخبندان شهر زابل بر پایه شبیه سازی مدل گردش عمومی جو

1. بابائیان،ا، نجفی نیک،ز، حبیبی نوخندان،م، زابل عباسی،ف، ملبوسی،ش، ادب،ح، 1388 ، ارزیابی تغییر اقلیم کشور در دوره 2039-2010 میلادی با استفاده از ریزنمایی داده های مدل گردش عمومی جوECHO-G، فصلنامه جغرافیا و توسعه، شماره 16، صص 152-135.
2. بابائیان،ا، نجفی نیک،ز، حبیبی نوخندان،م، زابل عباسی،ف، ملبوسی،ش، ادب،ح، رسولی،س ج، بذرافشان،ب، پیشقدم، ن، 1386 ، مدلسازی اقلیم و مطالعه تغییر اقلیم در ایران، مجری طرح:پژوهشکده اقلیم شناسی، گزارش پروژه.
3. مسعودیان، ا،غیور،ح، 1380، نخستین گام در مدلسازی اقلیمی، انتشارات دانشگاه اصفهان.

4- Dubrovsky M., 1998: Estimating climate change impacts on crop yields with use of crop growth model and weather generator. Proc. 14th Conf. Prob. Stat., AMS.

5 -Dubrovsky, M., 1996: Met&Roll: the stochastic generator of daily weather series for the crop growth model. Meteorological Bulletin 49, 97-105.

6 -Dubrovsky, M., 1996: Validation of the stochastic Weather Generator Met&ROLL, Meteorogickeo Zpravy, Vol49, pp. 12q – 1380.

7-Elshamy, M.E., Wheater, .H.S., Gedney, .N., Huntingford, .C.,2005: Evaluation of the rainfall component of weather generator for climate change studies. journal of hydrology, 326:1-24.

8- Harmel,R.D, et.al, 2002: Evaluating the Adequecy of Simulating Maximum and Minimum Daily Air Temprature With  the Normal Distributian, Canadian  Society for engineering , 26pp.

9- Johnson, G.L., Hanson, C.L., Hardegree, S.P., and Ballard, E.B., 1996: Stochastic weather simulation: overview and analysis of two commonly used models. J. Applied Meteorology 35, 1878-1896.

10- Mc kague,k., et. Al 2003: Clim Gen- A ZGnvenient weather Genera Tion Tool for Canadian climat stations, proceeding of CCAE/SCGR 2003 Meeting, Montreal, Canada.

11- Rasco, P., Szeidl, L., and Semenov, M.A., 1991: A serial approach to local stochastic models. J. Ecological Modeling 57, 27-41.

12- Richardson, C.W., and Wright, D.A., 1984: WGEN: A model for generating daily weather variables. U.S. Dept. Agr., Agricultural Research Service, Publ. ARS-8, 83 pp.

13- Semenov, M.A., and Barrow, E.M., 2002: LARS-WG a stochastic weather generator for use in climate impact studies. User’s manual, Version3.0.

14- Semenov, M.A., Brooks, R.J., Barrow, E.M., and Richardson, C.W., 1998: Comparison of the WGEN and LARS-WG stochastic weather generators in divers climates. Climate Research 10, 95-107.

15- Semenov, M.A., and Barrow, E.M., 1997: Use of a stochastic Weather Generator in the development of Climate Change Scenarios.Climatic Change 35, 397-414.

16- Semenov, M.A.,and Brooks, R.J.,1999: Spatial interpolation of the LARS-WG Stochastic Weather Generator in Great Britain. Climate Research 11, 137-148.

17- Thompson, C.S, and Mullan, A.B, 1995: Weather Generators. NIWA Internal report, 115- 120.

18- Wilks, D.S. 1992: Adapting stochastic weather generation algorithms for climate change studies. Climate Change. 22, 67-84.

19- Wilks, D.S. and Wilby, R.L. 1999: The Weather Generation game: a review of  Stochastic Weather Models. Progress in Physical Geography 23, 329-357.

20-Willby,R.L,Dawson,C.W,Barrow,EM,2001:SDSM Version 3.1 –A decision support tool for the assessment of regional climate change impacts.