نوع مقاله : پژوهشی

نویسندگان

1 آذربایجان شرقی،تبریز، بلوار ۲۹بهمن،دانشگاه تبریز

2 هیات علمی دانشگاه تبریز- دانشکده برنامه ریزی و علوم محیطی- گروه آب و هواشناسی

3 کارشناس هواشناسی اداره کل هواشناسی استان آذربایجان شرقی، تبریز، ایران

چکیده

هدف از این پژوهش بررسی تغییرات زمانی و توزیع مکانی پوشش کلی ابرناکی در حوضه‌ی آبریز دریاچه‌ی ارومیه می‌باشد. به منظور رسیدن به اهداف این تحقیق از داده‌های مشاهداتی پوشش کلی ابرناکی در 5 ایستگاه منتخب هواشناسی و از محصول پوشش کلی ابرناکی (CFFCM) سنجنده مودیس(ترآ و آکوا) استفاده شد. مقادیر ابرناکی مشاهداتی منطبق بر استاندارد ایکائو (ICAO) به پنج کلاسۀ آسمان بدون ابر، کمی ابری، قسمتی ابری، نیمه‌ابری و تمام ابری طبقه‌بندی ‌شده و به بررسی تغییرات ابرناکی پرداخته شد. همچنین به منظور بررسی ارتباط بین پوشش کلی ابرناکی با عناصر بارش، دما، تبخیر و ساعات آفتابی از آزمون همبستگی پیرسون استفاده شد. یافته‌های پژوهش نشان داد که در منطقه مورد مطالعه اغلب آسمان صاف (7/28%) و کمی ابری (9/23%) است و تنها در حدود 30 درصد از موارد شرایط نیمه‌ابری و تمام ابری مشاهده می‌گردد. در بررسی روند فراوانی رخداد هر یک از کلاسه­های ابرناکی مشخص شد که در اغلب موارد روند افزایشی در کلاسه­های صاف و کمی ابری و در مقابل روند کاهشی در کلاسه‌های نیمه‌ابری و تمام ابری رخ داده است. مطالعه ضرایب همبستگی بین پوشش کلی ابرناکی با پارامترهای اقلیمی نشان داد رابطۀ مستقیم و معنی­داری بین ابرناکی با بارش سالانه و رابطه معکوس با دما، تبخیر و ساعات آفتابی وجود دارد که این رابطه در مورد دمای سالانه ضعیف­تر از بقیۀ پارامترها بوده و همچنین رابطه­های ایجاد شده با داده­های مشاهداتی منطقی­تر از داده­های ماهواره­ای است. بررسی پراکندگی مکانی میانگین ابرناکی فصلی نشان داد ابرناکی در فصل زمستان و پاییز با فصل بهار و مخصوصاً تابستان متفاوت است. بالاترین مقدار ابرناکی زمستانه (تابستانه) در نیمه جنوبی (شمالی) حوضه آبریز دریاچه ارومیه مشاهده می‌گردد و این چینش با جریان­های همدیدی فصلی و پراکندگی ارتفاعات انطباق دارد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Analysis of the temporal and spatial distribution of clouds in the basin of the Urmia Lake

نویسندگان [English]

  • fatemeh ghavidel 1
  • Majid R.Banafsheh 2
  • Gholam Hasan Mohammadi 3

1 آذربایجان شرقی،تبریز، بلوار ۲۹بهمن،دانشگاه تبریز

2 Professor, Department of Climatology, Tabriz University, Tabriz, Iran

3 I. R. Of Iranian Meteorological Organization, East Azerbaijan Central Bureau of Meteorology, Tabriz, Iran

چکیده [English]

The purpose of this research is to investigate the temporal changes and spatial distribution of the total cloud cover of the sky in the Ormia Lake drainage basin. In order to achieve the goals of this research, observational data on total cloud cover of the sky at five selected meteorological stations and the product of total cloud cover of the sky (CFFCM) from MODIS sensors (Tera and Aqua) were used. The observed cloudiness values according to the ICAO standard were classified into five classes: cloudless sky, slightly cloudy, partly cloudy, semi-cloudy, and full cloudy, and the sky cloudiness changes were investigated. Pearson's correlation test was also used in order to investigate the relationship between the total cloud cover of the sky and the elements of precipitation, temperature, evaporation, and sunshine hours.The findings of the research showed that in the study area, the sky is mostly clear (28.7%) and slightly cloudy (23.9%), and only about 30% of the cases are semi-cloudy and full cloudy.In the examination of the frequency of occurrence of each of the cloudy classes, it was found that, in most cases, there was an increasing trend in the clear and slightly cloudy classes and a decreasing trend in the semi-cloudy and full cloudy classes.The study of the correlation coefficients between the total cloud cover of the sky and climatic parameters showed that there is a direct and significant relationship between the cloudiness of the sky and annual precipitation and an inverse relationship with temperature, evaporation, and sunshine hours, which is weaker in the case of annual temperature than the rest of the parameters, and also that the relationships established with observational data are more logical than those established with those established with satellite data. Investigating the spatial distribution of average seasonal cloudiness showed that cloudiness in winter and autumn is different from spring and especially summer. The highest amount of winter (summer) cloudiness is observed in the southern (northern) half of the Ormia Lake drainage basin, and this arrangement is consistent with the seasonal synoptic currents and the distribution of altitudes.

کلیدواژه‌ها [English]

  • Cloudy
  • Temporal changes and spatial distribution
  • Pearson correlation
  • the basin of the Urmia Lake
AbdolAlizadeh, F., Khorshid Doost, A. M., & Jahanbakhsh, S.(2023). Forecasting and evaluation of the trend of temperature, precipitation and drought in the catchment area of ​​Lake Urmia. Journal of Hydrogeomorphology, 10(36): 38-57.
Ahmadi, M., Ahmadi, H., & Dadashi, A.A.( 2017). Analyzing the trend of changes and the spatial pattern of annual & seasonal cloud cover in Iran. Journal of Natural Environment Hazards, 7(15): 254–237.
Asakereh, H., & Ashrafi, S.(1390). modeling the number of annual rainfall days based on relative humidity and annual temperature in Zanjan. Sepehr Journal, 20(80): 13–18.
Askelson, M.(2007). On the use of satellite cloud top pressure data in the estimation of snowfall occurrence and precipitation rates. 23rd Conference on IIPS.
Bagheri Vand, M., Nader, P., & Asheri, A.(2016). Investigating the relationship between temperature and precipitation in different seasons with the height of the Ormia Lake drainage basin. Master's thesis, Payam Noor University, Urmia Center.
Banayan, M., Mohammadian, A., & Alizadeh, A.(1389). Investigating the climatic fluctuations in northeastern Iran.Water and Soil Journal(Agricultural Sciences and Industries), 24(1): 118–131.
Bilgin, Ö.C.(2003). Ridit Analysis and Application, Atatürk Univ. Faculty of Agriculture Journal, 34 (2): 135-138.
Craig, C. D., & Fauikenberrp, G. D.(1979). The application of ridit analysis to detect trends in visibility. Atmospheric Environment, 13(12): 1617- 1622.
Donaldson, G.W.(1998). Ridit Scores for Analysis and Interpretation of Ordinal Pain Data. European Journal of Pain, 2: 221-227.
Doyle, M ., & Dorling, S.(2002). Visibility trends in the UK 1950–1997. Atmospheric Environment, 36( 19):3161-3172.
Fallahi, M., Alijani, B., Hejazizadeh, Z., & Naserzadeh, M.H.(2017). The effect of climate change on the characteristics of cloudiness in Iran. PhD Thesis, Kharazmi University, Faculty of Geography.
Flesis, J.L., Chilton, N.W., & Wallenstein, S.(1979). Ridit Analysis in Dental Clinical Studies. J Dental Research, 58 (11): 2080-2084
Ghasemi Dastgerdi, A.R., Rasouli, A.A., &  Jahanbakhsh Asl, S.(2013). modeling temporal and spatial changes of cloud cover with emphasis on rainy days in Iran. PhD Thesis, Tabriz University, Faculty of Literature and Human Sciences.
Ghasemi Far, A., Farajzadeh Asl, M., Ghavidel Rahimi, Y., & Ali Akbari Bidokhti, A.A.( 2017). analyzing the weather and meteorology of the Abernaki satellite in Iran. PhD thesis, Tarbiat Modares University, Faculty of Humanities.
Hadadi, H., & Heydari, H. (2015). Detection of the effect of rainfall fluctuations on the surface runoff of the Ormia Lake drainage basin. Geography and environmental planning, 26(2): 262-248
Hatami Bahman Biglo, Kh. K., & Movahedi, S.(2017). Seasonal and monthly identification of cloudiness in Iran using the data from the MODIS cloud sensor on the Terra satellite. Geography and Development, (50): 213–230.
Hanna, W., Schultz, D., & Irving, A.(2008). Cloud-Top Temperatures for      Precipitating Winter Clouds. J of Appl. Meteorolo, 47(1): 351-359.
Javan, Kh.(2021). Investigating the process of hydrological drought in the Ormia Lake drainage basin. Journal of Hydrogeomorphology, 7(25): 119–138.
Lashkari, H., Zarei, Y., &  Moradi, M.(2016). Synoptic-termodynamic analysis of cloud mechanisms in the Azerbaijan region. Journal of Geography and Planning, 21(59): 301-281.
Rasouli, A. A.(2018). An introduction to satellite meteorology and climatology. Tabriz University, Press, 384 p.
Rasouli, A. A., Jahanbakhsh Assal, S., & Ghasemi, A. H.(2014). Investigating the relationship between important cloud parameters and daily precipitation in Iran. Geographical Research Quarterly, 29(1): 23–42.
 Rezaei Banafsheh, M., Sar afroozeh, F., & Jalali,T. (2011). Investigation of Temperature Trend and Maximum Daily Rainfall in the Ormia Lake drainage basin. Geography and Planning Journal, 16 (38) : 43–74.
Kalesse, H., & Kollias, P.(2013). Climatology of High Cloud Dynamics Using Profiling ARM Doppler Radar Observations. J. Climate, 26 (17):6340-6359.
MAO, K., Zijin,Y., Zhiyuan, Z., Tongren, X., Xinyi, S.H., & Chunyu,Gh.(2019). Changes in Global Cloud Cover Based on Remote Sensing Data from 2003 to 2012. Geogra. 29 (2 ): 306 -315.
METAR and SPECI instructions. (1381). Higher Education Center for Meteorology and Atmospheric Sciences,1- 95.
O’Del ,Ch. W., Wentz,f.j., & Bennartz, R.(2008). Cloud Liquid Water Path from Satellite-Based Passive Microwave Observations: A New Climatology over the Global Oceans. Journal Climate, 21 (8):1721-1739.
Pearson, K.(1897). Mathematical Contribution to the Theory of Evolution on a Form of Spurious Correlation Which May arise When indices are used in the Measurement of organs. Proceedings of the royal society of London,60(359-367): 489-498.
Pour Gholam. Amiji, M., Ansari Ghojghar, M., Iraqinejad, Sh., & Babaian, A.(1400). modeling the relationship between dust storms and extreme and average temperature variables in the western half of the country. Climatology Research Journal, 12 (45): 113–126.
Sahraiyan, F., Rahimzadeh, F., & Pedram, M.(2004). trend of annual average cloud cover and annual average maximum temperature in a number of stations in the country. Newar, 45, 7–19.
Salahi, B., Ghudarzi, M., & Hosseini, S. A.(2016). Forecasting the change of climatic parameters the Ormia Lake drainage basin in the period 2011–2030. Journal of Watershed Science and Engineering Iran, 11(37): 47-56.
Sloane, C.S.(1982). Visibility Trends-I. Methods of Analysis. 16( 1): 41- 51.
Valjarevi´c ,A., Morar,C., Živkovi´c,J., Niemets ,L., Ki´covi´c,D., Golijanin,J., Goci´c,M. Marti´c Bursa´c,N., Striˇcevi´c,L., Žiberna, I., Baˇcevi´c,N., Milevski,I., Durlevi´c,U., Luki´c,T.(2021). Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia. Atmosphere 2021, 12(8), 964-964.
Wang Chung-Chieh, Ch., Chen, G., & Carbone, R. E.(2004). A Climatology of Warm-Season Cloud Patterns over East Asia Based on GMS Infrared Brightness Temperature Observations. Monthly Weather Review, 132 (7):1606-1629.
Wylie, D., Jackson, D., Menzel, W.P., & Bates, J.J.(2005). Trends in global cloud cover in two decades of HIRS observation. J. climate, 18(15): 3021-3031.
Yar Ahmadi, D.(2014). Hydroclimatological analysis of water level fluctuations in Lake Urmia. Natural Geography Research, 46(1): 77–92.
Zhang, D., Chen, X., Junyan, D., Yifan W., Jianfei, D., Shuping, Z., Chunpeng, L., Xiang L., Tiantao, Ch., Tao, J., Zhang, R .(2015). Inter-Annual Variations of Cloud and Precipitation and Their Possible Relationships with Surface Aerosols in Shanghai. Aerosol and Air Quality Research, 1367–1379, 1680-8584.
Zhang, X., Peng, L., Zheng, D., & Tao, J.(2008). Cloudiness variations over the Qinghai-Tibet Plateau during 1971–2004. Journal of Geographical Sciences, 18(2): 142-154.