شبیه سازی و تحلیل عوامل موثر بر توفان برف در شمال ایران در فوریه 2014

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، پژوهشگاه هواشناسی و علوم جو، تهران، ایران

2 دکتری هواشناسی، دانشگاه فردوسی مشهد، مشهد، ایران

3 دانشیار، پژوهشگاه هواشناسی و علوم جو، تهران، ایران

چکیده

در روزهای یک تا شش فوریه 2014 توفان بزرگ برف در ایران، خصوصا نواحی شمال کشور اتفاق افتاد. بارش برف در شمال ایران به‌گونه ای بود که در 30 سال گذشته بی‌سابقه بوده و منجر به خسارات فراوان گردید. بررسی همدیدی پدیده توفان برف نشان داد که یک سامانه پرفشار سطحی در شمال و یک کم‌فشار دینامیکی در شرق و جنوب‌شرقی ایران در نقشه فشار سطح دریا و یک ناوه عمیق در سطح 500 hpa وجود دارد. در نقشه باد تراز 925hpa بادهای شمال و شمال‌غربی در سراسر ایران نشان داده شده که سبب ورود هوای سرد از عرض‌های بالاتر می‌گردد، در سطح 300hpa هسته یک جت غربی در مرکز ایران واقع شده و یک جت شمالی در شمال مرزهای ایران وجود دارد که از بی‌هنجاری بزرگی برخوردار است. نقشه‌های بی‌هنجاری فشار سطح دریا نشان‌دهنده افزایش بی‌سابقه فشار در شمال ایران است، همچنین بی‌هنجاری دمای سطحی نیز کاهش دمای شدیدی در سراسر ایران و بویژه شمال‌شرقی آن را نشان می‌دهد. بررسی سطح مقطع‌های مولفه نصف‌النهاری باد، دما و رطوبت نسبی نشان داد که علاوه بر عوامل بزرگ مقیاس و ترمودینامیکی، وجود یک جبهه سرد در ‌شرق ایران دلیل دیگری بر بارش در این منطقه است. مقایسه خروجی مدل WRF با نقشه‌های مربوط به تاریخ مذکور نشان می‌دهد که مدل، الگوی همدیدی حاکم بر منطقه در این نمونه را به خوبی شبیه‌سازی کرده، البته شدت سامانه‌ها اندکی کمتر از میزان حقیقی برآورد شده است. با بررسی خروجی بارش مدل می‌توان نتیجه گرفت که اگرچه مدل ارتفاع برف و گستردگی مناطق تحت پوشش آن را به مراتب کمتر از مقادیر حقیقی محاسبه کرده است اما عمده خطای آن در تعیین نوع بارش است.

کلیدواژه‌ها


عنوان مقاله [English]

Simulation and analysis of the factors affecting the phenomenon of snowfall in the north of Iran in February 2014

نویسندگان [English]

  • Sara Karami 1
  • Nasim Hossein Hamzeh 2
  • Abbas Ranjbar Sadat Abadi 3
1 Pajoohesh Blvd, Shahid Kharrazi Highway,
2 Meteorology
3 Atmospheric Science & Meteorological Research Center, Pajoohesh Blvd, Shahid Kharrazi Highway, West of Shahid Hemmat Highway, Tehran, I.R. of Iran P.O. Code: 16385-14977
چکیده [English]

On February 1-6, 2014, a large snowstorm occurred in Iran, especially in the northern regions of the country. Snowfall in northern Iran was unprecedented in the last 30 years and caused extensive damage. Synoptic study of snowstorm phenomenon showed that there is a surface high pressure system in the north and a dynamic low pressure system in the east and southeast of Iran in the sea level pressure map and a deep through at the level of 500 hPa. The 925hpa wind map shows that the north and northwest winds throughout Iran cause cold air to enter from higher elevations. At 300hpa, the core of a western jet is located in central Iran and there is a northern jet north of Iran's borders. Maps of sea surface pressure anomalies show an unprecedented increase in pressure in northern Iran, as well as surface temperature anomalies show a sharp decrease in temperature throughout Iran, especially in the northeast. Examination of cross-sectional area of wind, temperature and relative humidity showed that in addition to large-scale and thermodynamic factors, the presence of a cold front in eastern Iran is another reason for rainfall in this region. Comparison of the output of the WRF model with the maps related to the mentioned date shows that the model simulates the synoptic pattern of the region in this sample well, although the intensity of the systems is slightly less than the real value. Examining the precipitation output of the model, it can be concluded that the model has calculated the height of snow and the extent of the areas covered by it much less than the actual values, but the main error is in determining the type of precipitation.



Materials and methods

In this study, First, the snowstorm from 1 February 1 to 6 February, 2014 is evaluated synoptically and thermodynamically by using ERA5 data with an accuracy of 0.5 degrees. The European Climate Forecast Center (ECMWF) presents its forecasts at 37 pressure levels from surface (1000 hPa) to 1 hPa. ERA-Interm re-analysis data was replaced by ERA4 data, which provides a new, higher-quality atmospheric quantity analysis (Di et al., 2011; Francis et al., 2019). In this study, the mean sea level pressure, geopotential height at the level of 500 hPa, 850 hPa and 925 hPa along with zonal and meridional winds at several levels with a spatial resolution of 0.5 degrees were used.

Also, snowfall data, maximum and minimum temperatures of several synoptic stations located in northern Iran were obtained from their SYNOP reports, which well indicate the severity of the storm and its extent. Then, in order to simulate this event, the WRF model with a horizontal accuracy of 30 km and 30 vertical levels was implemented from 00 UTC on February 1 to 00 UTC on February 6, 2014. For the initial and boundary conditions of the model, GFS analysis data were used with an accuracy of 0.5 degrees.



Conclusion



In February 2014, between 1 and 6 February, heavy snowfall affected most parts of Iran, especially the northern regions of the country. Investigation of the Earth's surface synoptic map showed that a high-pressure system is located in the north and a dynamic low-pressure system is located in the east and southeast of Iran, which over time strengthens the surface high pressure and its tabs extend to central Iran and push back the low pressure. Also, the existence of an occluded front is obvious in the north of Afghanistan, followed by a cold front in eastern Iran. At the level of 500 hPa, there is a deep trough that moved cold air from higher latitudes and high surface pressure that causes this cold air to fall to the ground. On the other hand, if the humidity has risen to the mid-levels of the atmosphere, the necessary moisture will Provide for rainfall. The 925hPa wind map shows the north and northwest winds blew throughout Iran, which cause that cold air entered from higher elevations.

The existence of a cold front in the east of Iran was confirmed in the synoptic map of 850hPa level and the intersection of geopotential and isothermal height bands, as well as the cross-sectional area of the meridional wind, temperature and relative humidity components. The change of wind direction from south to north wind, extreme temperature gradient, slope of isothermal lines and extreme relative humidity gradient are all signs of the presence of the front that has been observed in eastern Iran. Therefore, it can be concluded that in addition to large-scale and thermodynamic factors, the presence of a cold front can also be another reason for existence of precipitation.

Comparing the output of the WRF model with the maps related to the mentioned date shows that the model has simulated well the synoptic pattern of the region in this case. The output of the model in the ground map has obtained the surface high pressure in the north of the country and low pressure located in the eastern and southern half of the country and has shown the pressure gradient in the center of Iran well. The model also shows the low-altitude and high-altitude geopotential centers of different compression levels similar to the real maps, and the well has a level of 500hpa and even the tilt of its axis to the east. The comparison of the maps shows that the intensity of surface high pressure, high altitude of 850 hPa and 500 hPa is slightly less than the real value. The WRF model obtained the height of snow and the extent of the areas covered by it far less than the values reported from the stations. By examining the amount of rainfall obtained by it, it can be concluded that the main error of the model is in calculating the type of precipitation that maybe is in result of error in calculating the temperature

کلیدواژه‌ها [English]

  • Synoptic study
  • cold front
  • snowstorm
  • temperature decrease
  • WRF model
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  2. Faridmojtahedi, N., Ghaffarian, P. and Negah, S., 2017. Analyzing the Spatial Distribution of Heavy Snow Fall Depth in Gilan Plain (February 2005, January 2008, and February 2014) Using WRF Model. Journal of Geography and Environmental Hazards, 6(1), pp.109-126.

 

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