تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

آشکار سازی تاثیر ساختار میکروفیزکی ابرناکی در بارش های استان خوزستان با استفاده از محصولات ابر سنجنده MODIS

نویسندگان
1 دانشجوی دکتری آب و هواشناسی، گروه جغرافیا، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران
2 دانشیار گروه جغرافیا، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران
3 استادیار گروه جغرافیا، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران
چکیده
هدف اساسی این تحقیق آشکارسازی ارتباط ساختار میکروفیزیکی ابرناکی و توزیع مقدار بارش در سطح استان خوزستان می­باشد. در این راستا ابتدا 3 رخداد بارش فراگیر در سطح استان خوزستان انتخاب گردید و مقادیر بارش تجمعی 24 ساعته آن ها اخذ گردید. رخداد بارش 17 دسامبر 2006 به عنوان یک نمونه بارش سنگین، 25 مارس 2019 به عنوان یک کیس بارش متوسط و در نهایت 27 اکتبر 2018 به عنوان یک کیس بارش سبک فراگیر انتخاب شد. فاکتور های میکروفیزیکی ابرهای مولد این بارش ها از محصول ابر سنجنده MODIS (MOD06)، اخذ شد. این فاکتورها شامل دما، فشار، و ارتفاع قله ابر، ضخامت اپتیکال و نسبت ابرناکی بود. در نهایت با تولید یک ماتریس با 64000 کد اطلاعاتی 1 کیلومتری، و اجرای تحلیل همبستگی فضایی در سطح اطمینان 95/0، ارتباط بین ساختار میکروفیزکی ابرناکی و مقادیر توزیع فضایی بارش­های منتخب آشکار گردید. نتایج بیانگر آن بود در کیس مطالعاتی بارش سنگین و متوسط که میانگین فضایی بارش تجمعی 24 ساعته در سطح استان به ترتیب برابر 36 و 12 میلمتر بود، یک ساختار ابرناکی کاملاً تکامل یافته با نسبت ابرناکی بیش از 75 درصد و گسترش عمودی 6 تا 9 هزارمتری، با صخامت اپتیکال 40 تا 50، منجر به رخداد این بارش های فراگیر و قابل توجه در سطح استان شده است. در حالی که در کیس بارش سبک، یک گسست چشمگیر در گسترش افقی ابرناکی در سطح استان دیده شده و درصد ابرناکی به کمتر از 10درصد رسیده بود. علاوه بر آن فاکتورهای مربوط به گسترش عمودی ابرناکی نیز بسیار کمتر بود، به طوری که ارتفاع قله ابر در این بارش بین3 تا 5 هزار متر بوده است. نتایج این تحقیق نشان داد، در کیس بارش سنگین و متوسط همبستگی فضایی معنی داری در سطح اطمینان 95/0 بین فاکتورهای میکروفیزکی ابرناکی MOD06 و مقادیر بارش ثبت شده دیده شد
کلیدواژه‌ها

عنوان مقاله English

Detection of the effect of cloud microphysical structure on precipitation in Khuzestan province using MODIS cloud products

نویسندگان English

danesh nasiri 1
reza borna 2
Manijeh Zohourian Pordel 3
1 Climatology, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
2 Department of Geography, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
3 Department of Geography, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
چکیده English

Knowledge of supernatural microphysical properties and revealing its relationship with the spatial temporal distribution of precipitation can significantly increase the accuracy of precipitation predictions. The main purpose of this study is to reveal the relationship between the Cloud microphysical structure and the distribution of precipitation in Khuzestan province. In this regard, first 3 inclusive rainfall events in Khuzestan province were selected and their 24-hour cumulative rainfall values were obtained. The rainfall event of 17December2006, was selected as a sample of heavy rainfall, 25 March 2019, as a medium rainfall case, and finally 27 October 2018, as a light rainfall case. Microphysical factors of clouds producing these precipitations were obtained from MODIS (MOD06) cloud product. These factors included temperature, pressure, and cloud top height, optical thickness, and cloud fraction. Finally, by generating a matrix with 64000 information codes, and performing spatial correlation analysis at a confidence level of 0.95, the relationship between the Cloud microphysical structure and the spatial values and distribution of selected precipitates was revealed. The results showed that in the case study of heavy and medium rainfall, the spatial average of 24-hour cumulative rainfall in the province was 36 and 12 mm, respectively. A fully developed cloud structure with a cloud ratio of more than 75% and a vertical expansion of 6 to 9 thousand meters, with an optical thickness of 40 to 50, has led to the occurrence of these widespread and significant rainfall in the province. While in the case of light rain, a significant discontinuation was seen in the horizontal expansion of the cloud cover in the province and the cloud cover percentage was less than 10%. In addition, the factors related to the vertical expansion of the cloud were much lower, so that the height of the cloud peak in this rainfall was between 3 to 5 thousand meters. The results of this study showed that in heavy and medium rainfall cases, a significant spatial correlation was observed at a confidence level of 0.95 between MOD06 Cloud microphysical factors and recorded precipitation values, while no significant spatial correlation was observed in light rainfall case.

کلیدواژه‌ها English

Precipitation
cloud product
MODIS
Spatial Correlation
Khuzestan province
Bai, H., Cheng, G., Minghuai W., Zhibo Z., & Tristan L., (2017), Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites, Atmospheric Chemistry and Physics Discussions,18(3): 1-36. 10.5194/acp-2017-887
Baum, B., Menzel W. P., Frey, R.. Tobin, D,. Holz, R., Ackerman, S.,( 2012), MODIS Cloud Top Property Refinements for Collection 6, Journal of Applied Meteorology and Climatology, 51: 1145-1163, doi: 10.1175/JAMC-D-11-0203.1
Bumrungklang, P. S.,( 2009), An Analysis of Seasonal Thunderstorm Cloud Distribution and Its Relation to Rainfall in Thaland using remotly sen data, Suranaree J.Sci. Technol., 5(1): 71-86.
Curry ,JA., Webster, PJ., (2011), Climate science and the uncertainty monster, Bull Am Meteorol Soc ,92(12):1667–1682. https://doi.org/10.1175/2011BAMS3139.1
Choobari A., Gharaylou M., (2017), Aerosol impacts on radiative and microphysical properties of clouds and precipitation formation, Atmospheric Research, 185(1):43-64
Filipiak, J., Mietus, M.,( 2009), Spatial and temporal variability of cloudiness in Poland, 1971-2000, Int. J. Climatol , 29: 1294-1311. DOI:10.1002/joc.1777
Finger, D., Vis, M., Huss, M. & Seibert, J., (2015),The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments, Water Resour Res, 51(4): 1939–1958, DOI: 10.1002/2014WR015712
Halimi M., Rezaei M., Mohammadi Ch. & Farajzadeh M.,( 2017), Association between cloudiness and rainfall over Fars province in Iran, Russian Meteorology and Hydrology, 42: 671–676, https://doi.org/10.3103/S1068373917100077
Her, Y., Yoo, SH., Cho, J. , Hwang S., Jeong J. & Seong C.,( 2019), Uncertainty in hydrological analysis of climate change: multi-parameter vs. multi-GCM ensemble predictions. Sci Rep, 9, 4974 https://doi.org/10.1038/s41598-019-41334-7
Huiling, Y., Hui, X., Yan-Chao, H., (2011), A numerical study of aerosol effects on cloud microphysical processes of hailstorm clouds, Atmospheric Research, 102(4): 432–443. 10.1016/j.atmosres.2011.09.007.
Intergovernmental Panel on Climate Change IPCC.,(2014), Climate change 2014: a synthesis report, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. https://www.ipcc.ch/report/ar5/syr/. Accessed 19 January 2017
Jaswal, A K.,(2017), Variability Changes in Cloud Cover Over India During 1951–2010. In Observed ClimateVariability and Change over the Indian Region (pp. 107-127). Springer Singapore, 2017
Johansson, E. , Devasthale, A. , L'Ecuyer, T. , Ekman, A. M., Tjernström, M., (2015), The vertical structure of cloud radiative heating over the Indian subcontinent during summer monsoon. Atmospheric Chemistry and Physics, 15 (20): 11557-11570. https://doi.org/10.5194/acp-15-11557-2015
Kumar, K.N., Suzuki, K., (2019), Assessment of seasonal cloud properties in the United Arab Emirates and adjoining regions from geostationary satellite data. Remote Sens. Environ. , 228: 90–104. https://doi.org/10.1016/j.rse.2019.04.024
Mehta, L., Srivastava, S., Adam, H.N. Bose A.S., Ghosh U., Kumar V.,(2019), Climate change and uncertainty from ‘above’ and ‘below’: perspectives from India. Reg Environ Change ,19: 1533–1547. https://doi.org/10.1007/s10113-019-01479-7
Mourad, L., Ameur, S., Jean, B., Testud, J., Bachir, H., Hameg, S., Fethi, O., Yacine, M.,(2013),Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data, Applied Water Science, 3:1-11 10.1007/s13201-013-0079-0.
Nazaryan, H.,McCormick, M.P., Menzel, W.P.,(2008), Global characterization of cirrus clouds using CALIPSO data, J. Geophys. Res. Atmos,113: 1–12. https://doi.org/10.1029/2007JD009481
Norris, J. R., (2000), What can cloud observations tell us about climate variability? Space Science Reviews, 94(1-2): 375-380. https://doi.org/10.1023/A:1026704314326
Pan, B., Liu, D. , Kuma,r K., Wang, M., & LathaDevi, N.,(2021), Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007–2016, Atmospheric Environment, 246(1): https://doi.org/10.1016/j.atmosenv.2020.118082
Platnick, S., Meyer, K., King, M. D., Wind, G., Amarasinghe, N., Marchant, B., Arnold, G. T., Zhang, Z., Hubanks, P. A., Holz, R. E., Yang, P., Ridgway, W. L., & Riedi, J.,(2017), The MODIS cloud optical and microphysical products: Collection 6 updates and examples from Terra and Aqua. IEEE Trans. Geosci. Remote Sens, 55: 502-525, doi:10.1109/TGRS.2016.2610522.
Punay, J., Perez, G.J.P., (2014), Evaluation of MODIS Cloud Product-derived rainfall estimates. 35th Asian Conference on Remote Sensing 2014, ACRS 2014: Sensing for Reintegration of Societies.
Naira S., Resmi, E.A., Kulkarni G., Malap N., Patade S., Thara V., (2015), Thermodynamical and cloud microphysical response during the transition from southwest to northeast monsoon. Atmospheric Research, 166(1): 182-194. https://doi.org/10.1016/j.atmosres.2015.06.018
Stephens, G., (2005), Cloud feedbacks in the climate system: a critical review. J. Climate, 18: 237–273. DOI: https://doi.org/10.1175/JCLI-3243.1
Sarangi Ch., Tripathi S., KanawadeV., Koren I., and Sivanand D.,( 2017), Investigation of the aerosol–cloud–rainfall association over the Indian summer monsoon region, Atmos. Chem. Phys., 17(1): 5185–5204 doi:10.5194/acp-17-5185-2017
Chakraborty S., Maitra, A., (2013), Interrelation between microphysical and optical properties of cloud and rainfall in the Indian region. Indian Journal of Radio & Space Physics, 42:105-112. http://hdl.handle.net/123456789/17096
Warren, S. G., Eastman, R. M., & Hahn, C. J., (2007), A survey of changes in cloud cover and cloud tpes over land from surface observations, 1971-96. Journal of Climate, 20(4): 717-738. DOI: https://doi.org/10.1175/JCLI4031.1
Wenjing, Z., Ning, Z., & Jianning, S., (2014), Spatiotemporal Variations of Cloud Amount over the Yangtze River Delta, China. Journal of Meteorological Research, 28(3): 371-380. DOI:10.1007/s13351-014-3064-0
Yi Wang, X. S.,(2010), Microphysical and radiative effects of ice clouds on responses of rainfall to the largescale forcing during pre-summer heavy rainfall over southern China. Atmospheric Research, 97(1-2): 35-46. DOI 10.1016/j.atmosres.2010.03.005
Zeng, X.,(1999), The Relationship among Precipitation, Cloud-Top Temperature, and Precipitable Water over the Tropics. journal of climate, 12: 2503-2514. DOI: https://doi.org/10.1175/1520-0442(1999)0122.0.CO;2.