American Journal of Civil Engineering and Architecture
ISSN (Print): 2328-398X ISSN (Online): 2328-3998 Website: http://www.sciepub.com/journal/ajcea Editor-in-chief: Mohammad Arif Kamal
Open Access
Journal Browser
Go
American Journal of Civil Engineering and Architecture. 2018, 6(3), 93-100
DOI: 10.12691/ajcea-6-3-1
Open AccessArticle

Comparison of HadCM3, CSIRO Mk3 and GFDL CM2.1 in Prediction the Climate Change in Taleghan River Basin

Arash YoosefDoost1, , Icen YoosefDoost2, Hossein Asghari3 and Mohammad Sadegh Sadeghian1

1Civil Engineering Department, Islamic Azad University Central Tehran Branch, Tehran, Iran

2Water Science and Engineering Department, University of Birjand, Birjand, Iran

3Environment Department, University of Tehran, Tehran, Iran

Pub. Date: March 09, 2018

Cite this paper:
Arash YoosefDoost, Icen YoosefDoost, Hossein Asghari and Mohammad Sadegh Sadeghian. Comparison of HadCM3, CSIRO Mk3 and GFDL CM2.1 in Prediction the Climate Change in Taleghan River Basin. American Journal of Civil Engineering and Architecture. 2018; 6(3):93-100. doi: 10.12691/ajcea-6-3-1

Abstract

Climate change is a complex and long-term global atmospheric-oceanic phenomenon which can be influenced by natural factors such as volcanoes, solar, oceans and atmosphere activities which they have interactions between or may be as a result of human activities. Atmospheric general circulation models are developed for simulation of current climate of the earth and are able to predict the earth's future climate change. In this paper, the performance of GFDL CM2.1, CSIRO Mk3 and HadCM3 AOGCMs were assessed and evaluated in the study of the climate change effects on temperature and precipitation in Taleghan basin. The results show that HadCM3 model in comparison with CSIRO Mk3 and GFDL CM2.1 models has indicated the better performance in this region.

Keywords:
Atmosphere General Circulation Models AOGCM CSIRO Mk3 HadCM3 Climate Change Taleghan Region

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  J. Buchdahl, A review of contemporary and prehistoric global climate change. Chester Street, Manchester M1 5GD: Manchester Metropolitan University, 1999.
 
[2]  IPCC 2007a, 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.
 
[3]  C. Xu, “From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches,” Prog. Phys. Geogr., vol. 23, no. 2, pp. 229-249, Jun. 1999.
 
[4]  P. Norman A., “The general circulation of the atmosphere: A numerical experiment,” Q. J. R. Meteorol. Soc., vol. 82, no. 352, pp. 123-164, Apr. 1956.
 
[5]  J. D. Cox, Storm watchers: the turbulent history of weather prediction from Franklin’s kite to El Niño. John Wiley, 2002.
 
[6]  P. Lynch, “The Emergence of Numerical Weather Prediction,” in The ENIAC Integrations, Cambridge University Press, UK., 2006.
 
[7]  N. O. and A. A. US Department of Commerce, “The First Climate Model,” NOAA, 2007. [Online]. Available: https://celebrating200years.noaa.gov/breakthroughs/climate_model/welcome.html. [Accessed: 23-Sep-2017].
 
[8]  W. D. Collins, Description of the NCAR Community Atmosphere Model (CAM 3.0). University Corporation for Atmospheric Research, 2004.
 
[9]  Y. Xue, M. J. Fennessy, and P. J. Sellers, “Impact of vegetation properties on U.S. summer weather prediction,” J. Geophys. Res. Atmos., vol. 101, no. D3, pp. 7419-7430, Mar. 1996.
 
[10]  K. McGuffie and A. Henderson-Sellers, A climate modelling primer. J. Wiley, 2005.
 
[11]  R. Heikes and D. A. Randall, “General Circulation Model,” Colorado State University. [Online]. Available: https://en.wikipedia.org/wiki/General_circulation_model. [Accessed: 23-Sep-2017].
 
[12]  S. Karamooz, M., Araghy nejad, Advanced Hydrology. Tehran: Amirkabir Technology University Press, 2005.
 
[13]  2000 IPCC, Emissions Scenarios. Cambridge University Press, UK.
 
[14]  “IPCC - Intergovernmental Panel on Climate Change,” IPCC.ch. [Online]. Available: http://www.ipcc.ch/ipccreports/tar/wg3/index.php?idp=81. [Accessed: 22-Sep-2017].
 
[15]  P. D. JONES and M. HULME, “CALCULATING REGIONAL CLIMATIC TIME SERIES FOR TEMPERATURE AND PRECIPITATION: METHODS AND ILLUSTRATIONS,” Int. J. Climatol., vol. 16, no. 4, pp. 361-377, Apr. 1996.
 
[16]  A. Yoosefdoost, M. Raisi, and P. Esmaeli, “Comparison of the Performance of HadCM3, GFDL CM 2.1 and CGCM3 Models in Estimating the Climate Change Effects on Rainfall and Temperature in Taleghan Basin Under SRES A2 Scenario,” in The International Congress on Enviroment, 2015.
 
[17]  A. YoosefDoost, M. Sadegh Sadeghian, M. Ali Node Farahani, and A. Rasekhi, “Comparison between Performance of Statistical and Low Cost ARIMA Model with GFDL, CM2.1 and CGM 3 Atmosphere-Ocean General Circulation Models in Assessment of the Effects of Climate Change on Temperature and Precipitation in Taleghan Basin,” Am. J. Water Resour., vol. 5, no. 4, pp. 92-99, Sep. 2017.
 
[18]  J. D. Lambert, K. P. McFarland, C. C. Rimmer, S. D. Faccio, and J. L. Atwood, “A Practical Model of Bicknell’S Thrush Distribution in the Northeastern United States,” The Wilson Bulletin, vol. 117, no. 1. pp. 1-11, 02-Mar-2005.
 
[19]  “Potential Impacts of Climate Change on Biodiversity - SERVIR.” [Online]. Available: http://www.servir.net/haiti-earthquake-2010/25-noticias/ultimas-noticias/373-potential-impacts-of-climate-change-on-biodiversity.html. [Accessed: 25-Sep-2017].
 
[20]  V. D. Pope, M. L. Gallani, P. R. Rowntree, and R. A. Stratton, “The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3,” Clim. Dyn., vol. 16, no. 2-3, pp. 123-146, Feb. 2000.
 
[21]  K. H. Gordon, M. Perez, and T. E. Joiner, “The impact of racial stereotypes on eating disorder recognition,” Int. J. Eat. Disord., vol. 32, no. 2, pp. 219-224, Sep. 2002.