Study of the Process of Climate Change According to Data Simulation Using LARS-WG Software during 2010-2030: Case Study of Semnan Province
Authors: Leila Rashidian
Temperature rise on Earth has had harmful effects on the Earth's surface and has led to change in precipitation patterns all around the world. The present research was aimed to study the process of climate change according to the data simulation in future and compare these parameters with current situation in the studied stations in Semnan province including Garmsar, Shahrood and Semnan. In this regard, LARS-WG software, HADCM3 model and A2 scenario were used for the 2010-2030 period. In this model, climatic parameters such as maximum and minimum temperature, precipitation and radiation were used daily. The obtained results indicated that there will be a 4.4% increase in precipitation in Semnan province compared with the observed data, and in general, there will be a 1.9% increase in temperature. This temperature rise has significant impact on precipitation patterns. Most of precipitation will be raining (torrential rains in some cases). According to the results, from west to east, the country will experience more temperature rise and will be warmer.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132397Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 844
 Karimi, Sepehri, 2010, the process of climate change during two periods in Hamadan and Tabriz, Journal of Water and Soil Knowledge, Vol. 1.
 Bazr Afshan et al. (2009), the impact of future climate change on drought class transition probabilities in extreme climates in Iran (case study: Nowshahr and Bandar-e-Anzali Stations), Journal of Researches in Water and Soil Protection.
 Semenov M. A., R. J. Brooks, E. M. Barrow and C. W. Richardson. 1998. Comparison of the WGEN and LARS-WG stochastic weather generators in divers climates. Climate Research 10, (95-107). B. Smith, “An approach to graphs of linear forms (Unpublished work style),” unpublished.
 Alison L.K., Richard, G.J. and Nicholas, S.R., (2004). RCM rainfall for UK flood frequency estimation. II. Climate change results. Journal of Hydrology, 318: (163- 172).
 Kouchaki, A. and Nasiri Mahalati, M., 2008, The impact of climate change along with increase of CO2 concentration on wheat performance in Iran and evaluation of adjustment solutions, Journal of Iranian Agricultural Researches, Vol. 6, pp. (139-153).
 Nasiri Mahalati, M., Kouchaki, A., Kamali, Gh. and Mar'ashi, H., 2006, Study of the impact of climate change on climate indices in agriculture, Journal of Agricultural Industry and Science, Vol. 20, pp. 71-82.
 Nasiri Mahalati, M., Kouchaki, A., Kamali, Gh. and Mar'ashi, H., 2006, Study of the impact of climate change on climate indices in agriculture, Journal of Agricultural Industry and Science, Vol. 2, Issue 7.
 Kouchaki, A. and Kamali, Gh. A., 2010, Climate change and Iran's wheat production, Journal of Iranian Agricultural Researches, Vol. 8, pp. 508-520.M. Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989.
 Renguang Wu, et al. 2013, Precipitation-surface temperature relationship in the IPCC CMIP5 Models, Advances in Atmospheric Sciences.
 Kyrgyzstan, Bishkek, 2004. Climate Change and Sustainable Development (1-39).
 Iran Meteorological Organization, Statistical data related to climate parameter form its initiation to 2010.