Future Climate Change Projection Over Iran Using CMIP5 Data During 2020-2100

Authors

1 1- Assistant Professor, Climate Change Division, Climatological Research Institute, Mashad, I.R. of Iran

2 Instructor, Climate Change Division., Climatological Research Institute, Mashad, I.R. of Iran,

3 Ph.D. student of Meteorology, Institute of Geophysics, University of Tehran

Abstract

Prior to the publication of the fifth Assessment Report (AR5) by the Inter-governmental Panel on Climate Change in November 2013, our researchers used data from CMIP3 General Circulation Models for future climate change projection over the country. But by 2015, access to data from the CMIP5 series of General Circulation Models has been gradually facilitated. As most research on projection of climate change is currently being carried out using data from CMIP5 models. In this research, the output of all CMIP5 models used in AR5 reporting has been used to simulate the future climate change projection of the country. The results of this study showed that with the exception of the optimistic scenario of RCP2.6, in three other scenarios, the average precipitation from the Mediterranean to Afghanistan would decrease. In the scenario of RCP8.5reducing precipitation in the west of Iran would be approximately 20% would it will be around 30% in Syria, Jordan, Palestine and Iraq. comparing to long-term. Also, in case of non-compliance with the Paris agreement, the average temperature rise in the country is about 5.2 degree of Celsius and in the case of implementation of Paris Agreement, it will be 1.3 degrees Celsius greater than the period of 1986-86. Generally, due to lower precipitation and rising temperatures, it is expected that the western parts of the country including Zagros, will be exposed to drought, water stress, reduction of forest cover, water resources and hydroelectric plants production and increase of extreme events.

Keywords

Main Subjects


 
1- صبوری، غ.، 1393، مطالعه تغییرات پهنه‌های اقلیمی ‌ایران در دوره 2099-2010 تحت پدیده گرمایش جهانی با استفاده از ریزمقیاس­نمایی مدل‌های گردش عمومی، پایان‌نامه، دانشگاه فردوسی مشهد.
2- وبلاگ گفت و گوهای اقلیمی:
 http://climate.mihanblog.com/post/7
3- Baker, N. & H. Huang, 2013, A Comparative Study of Precipitation and Evaporation between CMIP3 and CMIP5 Climate Model Ensembles in Semiarid Regions, Journal of Climate, Vol. 27, pp. 3731-3749.
4- Blázquez, J. & M. N. Nuñez, 2013, Analysis of Uncertainties in Future Climate Projections for South America: Comparison of WCRP-CMIP3 and WCRP-CMIP5 Models, Climate Dynamics, Vol. 41, pp. 1039-1056.
5- Brands, S., S. Herrera, J. Fernández & J. M. Gutiérrez, 2013, How Well Do CMIP5 Earth System Models Simulate Present Climate Conditions in Europe and Africa, Climate Dynamics, Vol. 41, pp. 803-817.
6- Cattiaux, J., H. Douville & Y. Peings, 2013, European Temperatures in CMIP5: Origins of Present-Day Biases and Future Uncertainties, Climate Dynamics, Vol. 41, pp. 2889-2907.
7- Delworth, T. L., A. J. Broccoli, A. Rosati, R. J.  Stouffer, V. Balaji & J. A. Beesley, 2006, GFDL’s CM2 Global Coupled Climate Models, Part 1: Formulation and Simulation Characteristics, Journal of Climate, 19, pp. 643-674.
8- Chaturvedi, R. K., J. Joshi, M. Jayaraman, G. Bala & N. H. Ravindranath, 2012, Multi-Model Climate Change Projections for India under Representative Concentration Pathways, Current Science, Vol. 103, pp. 791-802.
9- ftp://gdo-dcp.ucllnl.org/pub/dcp/archive/cmip5/ global_mon/BCS
10- Frame D. J. & D. A. Stone, 2013, Assessment of the first consensus prediction on climate change, Nature Clim. Change, Vol. 3, pp. 357–9.
11- HUNG, M., J. L. LIN, W. Wang, D. Kim, T. Shinoda & S. Weaver, 2013, MJO and Convectively Coupled Equatorial Waves Simulated by CMIP5 Climate Models, Journal of Climate, Vol. 26, pp. 6185-6214.
12- Jena, P., S. Azad & M. Rajeevan, 2015, CMIP5 Projected Changes in the Annual Cycle of Indian Monsoon Rainfall, Journal of Climate, Vol. 4.
13- Knutti R. & J. Sedlacek, 2013, Robustness and uncertainties in the new CMIP5 climate model projections, Nature Clim. Change, Vol. 3, pp. 369–73.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14- Kug, J. S., Y. G. Ham, J. Y. Lee & F. F. Jin, 2012, Improved Simulation of Two Types of El Niño inCMIP5 Models, Environmental Research Letters, Vol. 7.
15- Meinshausen, M., S. J. Smith, K. Calvin, J. S. Daniel, M. L. T. Kainuma, J. F. Lamarque et al., 2011, The RCP Greenhouse Gas Concentrations and Their Extensions from 1765 to 2300, Climatic Change, Vol. 109, pp. 213-241.
16- Meehl, G. A., L. Goddard, J., Murphy, R. J. Stouffer, G. Boer, G. Danabasoglu et al., 2009, Decadal Prediction: Can It Be Skillful, Bulletin of the American Meteorological Society, Vol. 90, pp. 1467-1485.
17- Scoccimarro, E. & S. Gualdi, 2016, Heavy Precipitation Events in a Warmer Climate: Results from CMIP5 Models, Journal of Climate, Vol. 26, pp. 7902-7911.
Volume 43, 104-105
March 2019
Pages 67-77
  • Receive Date: 31 July 2018
  • Revise Date: 12 February 2019
  • Accept Date: 03 March 2019
  • First Publish Date: 21 March 2019