پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شماره‌ها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,102,108 |
| تعداد دریافت فایل اصل مقاله | 97,208,649 |
Detection of Aircraft Icing Threat Pixels Using Cloud Properties of MSG Satellite Products Case Study: Tehran-Urmia Flight Route | ||
| فیزیک زمین و فضا | ||
| مقاله 11، دوره 47، شماره 4، بهمن 1400، صفحه 157-175 اصل مقاله (10.68 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jesphys.2021.303519.1007216 | ||
| نویسندگان | ||
| Hashem Rostamzadeh* 1؛ Ali Mohammad Khorshiddoust2؛ Mohammad Reza Azizzadeh3 | ||
| 1Assistant Professor, Department of Climatology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran | ||
| 2Professor, Department of Climatology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran | ||
| 3Ph.D. Student, Department of Climatology, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran | ||
| چکیده | ||
| In the present study, the meteorological conditions of the plane crash on the Tehran-Urmia route on 01/19/2011 were investigated. The ultimate goal of this study is to detect icing threatening pixels in aircraft. To achieve this goal, using the products of Meteosat satellite, the physical properties of the cloud in the northwest were evaluated. First, cloud products were received in Netcdf4 format in 15 minutes. Then, a regular network of geographical coordinates with a spatial resolution of 101×165 was prepared. After the data networking process, cloud characteristics (cloud cover, cloud type, cloud phase, cloud optical depth and cloud temperature) were extracted for the study day in a period of 15 minutes. Finally, by combining cloud characteristics (temperature cloud less than 273 and cloud liquid phase and optical depth less than one) through FIT algorithm, icing mask was modeled for the study area. Examination of cloud characteristics maps shows that the cloud temperature and the cloud phase (liquid state) have played the most important role in creating icing conditions. According to the Aviation Authorities, there are icing pixels on the flight path and at the crash location. Examination of synoptic maps also showed unstable weather conditions with severe convection at the time of the accident in the study area. Finally, under such conditions and with access to moisture sources in the upper layers of the atmosphere and the strengthening of super-cold water vapor, it has provided icing conditions. | ||
| کلیدواژه‌ها | ||
| Aircraft Icing؛ Icing Mask؛ Supercooled Liquid Water؛ Cloud Physical Properties؛ Meteosat (MSG) Products | ||
| مراجع | ||
|
Ahrens, C. D., 2012, Meteorology Today (translated by Mohammad Reza Babaei), EIGH Publications. Alexandrov, M.D., Cairns, B., Van Diedenhoven, B., Ackerman, A.S., Wasilewski, A.P., McGill, M.J., Yorks, J.E., Hlavka, D.L., Platnick, S.E. and Arnold, G.T., 2016, Polarized view of supercooled liquid water clouds. Remote Sensing of Environment, 181, 96-110. Aventin, A., Morency, F. and Nadeau, S., 2015, Statistical study of aircraft accidents and incidents related to de/anti-icing process in Canada between 2009 and 2014. Belo‐Pereira, M., 2015, Comparison of in‐flight aircraft icing algorithms based on ECMWF forecasts. Meteorological Applications, 22(4), 705-715. Bolgiani, P., Fernández-González, S., Martin, M. L., Valero, F., Merino, A., García-Ortega, E. and Sánchez, J. L., 2018, Analysis and numerical simulation of an aircraft icing episode near Adolfo Suárez Madrid-Barajas International Airport. Atmospheric Research, 200, 60-69. Bragg, M., Basar, T., Perkins, W., Selig, M., Voulgaris, P., Melody, J. and Sarter, N., 2002, Smart icing systems for aircraft icing safety. In 40th AIAA Aerospace Sciences Meeting & Exhibit (p. 813). Civil Aviation Organization, 2012, Final Report of the Boeing Aircraft Accident Survey 09/112/2012, (in Persian). Cober, S. G., Isaac, G. A. and Strapp, J. W., 2001, Characterizations of aircraft icing environments that include supercooled large drops. Journal of Applied Meteorology, 40(11), 1984-2002. Fernández-González, S., Sánchez, J. L., Gascón, E., López, L., García-Ortega, E. and Merino, A., 2014, Weather features associated with aircraft icing conditions: A case study. The Scientific World Journal. Fuchs, W. and Schickel, K. P., 1995, Aircraft icing in visual meterological conditions below low stratus clouds. Atmospheric Research, 36(3-4), 339-345. Gencer, C., Aydogan, E. K. and Karahan, Ç., 2010, An algorithm predicting upper level icing potential by fuzzy set theory and an application with this algorithm for Turkey. Open Industrial & Manufacturing Engineering Journal, 3, 7-12. Guttman, N. B. and Jeck, R. K., 1987, Aircraft icing environment in low ceiling conditions near Washington, DC. Weather and Forecasting, 2(2), 114-126. Hämäläinen, K. and Niemelä, S., 2017, Production of a numerical icing atlas for Finland. Wind Energy, 20(1), 171-189. Kelsch, M. and Wharton, L., 1996, Comparing PIREPs with NAWAU turbulence and icing forecasts: Issues and results. Weather and Forecasting, 11(3), 385-390. McCann, D. W., 2005, NNICE–a neural network aircraft icing algorithm. Environmental Modelling & Software, 20(10), 1335-1342. Minnis, P., Nguyen, L., Palikonda, R., Heck, P.W., Spangenberg, D.A., Doelling, D.R., Ayers, J.K., Smith Jr, W.L., Khaiyer, M.M., Trepte, Q.Z. and Avey, L.A., 2008, Near-real time cloud retrievals from operational and research meteorological satellites. In Remote Sensing of Clouds and the Atmosphere XIII (Vol. 7107, p. 710703). International Society for Optics and Photonics. Minnis, P., Nguyen, L., Smith Jr, W., Young, D., Khaiyer, M., Palikonda, R., Spangenberg, D., Doelling, D., Phan, D. and Nowicki, G., 2004, Real-time cloud, radiation, and aircraft icing parameters from GOES over the USA. Mohammadi, H., 2006, Applied Meteorology, University of Tehran Press. Politovich, M. K., 1989, Aircraft icing caused by large supercooled droplets. Journal of Applied Meteorology, 28(9), 856-868. Politovich, M. K., 1996, Response of a research aircraft to icing and evaluation of severity indices. Journal of Aircraft, 33(2), 291-297. Rasmussen, R., Politovich, M., Marwitz, J., Sand, W., McGinley, J., Smart, J., Pielke, R., Rutledge, S., Wesley, D., Stossmeister, G. and Bernstein, B., 1992, Winter icing and storms project (WISP). Bulletin of the American Meteorological Society, 73(7), 951-976. Rauber, R. M. and Tokay, A., 1991, An explanation for the existence of supercooled water at the top of cold clouds. Journal of the Atmospheric Sciences, 48(8), 1005-1023. Ranjbar Saadatabadi, A., Amoudzad Mahdiraji, T. and Pouriyani, J., 2013, A Case Study of Icing Aircraft in Different Flight Routes in Iran. Journal of Aeronautical Engineering, Second Issue, (Vol. 2), (in Persian). Schickel, K. P., Hoffmann, H. E. and Kriebel, K. T., 1994, Identification of icing water clouds by NOAA AVHRR satellite data. Atmospheric Research, 34(1-4), 177-183. Sim, S., Im, J., Park, S., Park, H., Ahn, M. and Chan, P. W., 2018, Icing detection over East Asia from geostationary satellite data using machine learning approaches. Remote Sensing, 10(4), 631. Sitnikov, G. I., Starchenko, A. V., Terenteva, M. V., Barashkova, N. K., Volkova, M. A., Kuzhevskaia, I. V. and Kizhner, L. I., 2015, Forecast of extreme weather conditions that promote aircraft icing during take-off or landing. In 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics (Vol. 9680, p. 96806T). International Society for Optics and Photonics. Smith Jr, W. L., Minnis, P., Fleeger, C., Spangenberg, D., Palikonda, R. and Nguyen, L., 2012, Determining the flight icing threat to aircraft with single-layer cloud parameters derived from operational satellite data. Journal of Applied Meteorology and Climatology, 51(10), 1794-1810. Tajbakhsh, S., Ghaffarian, P. and Sahraian, F., 2012, Meteorological aircraft icing in two case studies, (Tehran-Mehrabad Airport). Journal of the Earth and Space Physics, 38(1), 205-227 (in Persian). Thompson, G., Bullock, R. and Lee, T. F., 1997, Using satellite data to reduce spatial extent of diagnosed icing. Weather and Forecasting, 12(1), 185-190. Thompson, G., Politovich, M. K. and Rasmussen, R. M., 2017, A numerical weather model’s ability to predict characteristics of aircraft icing environments. Weather and Forecasting, 32(1), 207-221. Wolters, E. L., Roebeling, R. A. and Feijt, A. J., 2008, Evaluation of cloud-phase retrieval methods for SEVIRI on Meteosat-8 using ground-based lidar and cloud radar data. Journal of Applied Meteorology and Climatology, 47(6), 1723-1738. | ||
|
آمار تعداد مشاهده مقاله: 1,143 تعداد دریافت فایل اصل مقاله: 658 |
||