Volume 18, Issue 50 (3-2018)                   jgs 2018, 18(50): 17-37 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khosravi Y, Dostkamian M, Taherian A M, Shiri Karim vand A. Thermal advection analysis of cooling waves of Iran. jgs 2018; 18 (50) :17-37
URL: http://jgs.khu.ac.ir/article-1-2728-en.html
1- Assistant Professor, Department of Environmental Science and Faculty Member of Zanjan University, Iran . , khosravi@znu.ac.ir
2- Ph.D. student of climate change, University of Zanjan, Iran.
3- Senior Scientist of Synoptic Climate, University of Zanjan, Iran.
4- Senior Scientist of Synoptic Clinical Sciences, Zanjan University, Iran.
Abstract:   (5694 Views)

Survey of advection of cold waves in Iran is the main aim of this study. In this regard, 45 synoptic stations were employed and studied. In order to investigate the thermal advection of cold waves, 1000, 850, 700 and 500 hp levels were reviewed and analyzed. Results indicated that cold waves in Iran most affected thermal advection caused by Tibet- Siberia, Siberias integrated Turkmenistan high-pressure, High pressure belt of Siberia - East Europe High pressure, Siberian high-pressure multi-core pattern and High-pressure belt of East of Caspian Sea integrated Black Sea High pressure. In the meantime, thermal advection of Siberian high pressure has been more impressive than other patterns. This system moved towards lower latitudes by anti-cyclone moving, So the cold weather of northern latitudes loss in lower latitudes North East of Iran, North West and Central parts of Iran. However, when Siberian high pressure combined with other patterns, its role in the advection of cold air have been considerable

Full-Text [PDF 3222 kb]   (2206 Downloads)    
Type of Study: Research |

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb