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Monitoring the 11 August 2017 storm in central Poland with satellite data and products

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Języki publikacji
EN
Abstrakty
EN
This paper presents the evolution of the mesoscale convection system as seen on satellite images during all stages: pre-convection, initiation, and maturity. The evolution of any atmospheric phenomenon can be monitored effectively only when the data available have adequate temporal and spatial resolution. In case of convective storms the resolution should be minutes and kilometers. Therefore, data from the METEOSAT geostationary satellite, with 5-minute and 15-minute intervals were used operationally to monitor the storm of 11 August 2017; this was a most destructive storms, concentrated in several districts of the Pomeranian, Greater Poland, and Kuyavian-Pomeranian voivodeships. Analysis demonstrated that some alarming features, like cold rings or cold U/V shapes, can be visible on the single channel satellite images, without even referring to specific convective products. However, the nowcasting of the convective phenomena requires careful analysis of several dedicated products, including stability indices and water vapor content in the troposphere. It has been shown that with comprehensive analysis of the information provided by the different satellite images and satellite derived products, it is possible to draw conclusions about the severity of the observed storms as well as the probability of the occurrence of the extreme weather at the ground.
Twórcy
  • Institute of Meteorology and Water Management - National Research Institute, Poland
  • Institute of Meteorology and Water Management - National Research Institute, Poland
  • Institute of Meteorology and Water Management - National Research Institute, Poland
  • Institute of Meteorology and Water Management - National Research Institute, Poland
Bibliografia
  • Blanchard D.O., 1998, Assessing the vertical distribution of Convective Available Potential Energy, Weather and Forecasting, 13 (3), 870-877, DOI: 10.1175/1520-0434(1998)0132.0.CO;2.
  • Bedka K.M., Brunner J., Dworak R., Feltz W., Otkin J., Greenwald T., 2010, Objective satellite-based overshooting top detection using infrared window channel brightness temperature gradients, Journal of Applied Meteorology and Climatology, 49 (2), 181-202, DOI: 10.1175/2009JAMC2286.1.
  • da Silva Neto C.P., Barbosa H.A., Beneti C.A.A., 2016, A method for convective storm detection using satellite data, Atmosfera, 29 (4), 343-358, DOI: 10.20937/ATM.2016.29.04.05.
  • Dziennik Bałtycki, 2018, Nawałnica 2017na Pomorzu. Pierwsza rocznica tragicznej nawałnicy na Pomorzu 11-12.08.2017. Zginęło pięć osób., available online https://dziennikbaltycki.pl/nawalnica-2017-na-pomorzu-pierwsza-rocznica-tragicznejnawalnicy-na-pomorzu-1112082017-zginelo-piec-osob-wideozdjecia/ar/13385348 (data access 06.12.2021).
  • George J.J., 1960, Weather Forecasting for Aeronautics, Academic Press, 673 pp.
  • Georgiev C., Santurette P., Maynard K., 2016, Weather Analysis and Forecasting. Applying Satellite Water Vapour Imagery and Potential Vorticity Analysis, Academic Press, 360 pp.
  • Georgiev C.G., Kozinarova G., 2009, Usefulness of satellite water vapour imagery in forecasting strong convection: A flash-flood case study, Atmospheric Research, 93 (1), 295-303, DOI: 10.1016/j.atmosres.2008.09.036.
  • Heymsfield G.M., Blackmer Jr. R.H., 1988, Satellite-observed characteristics of Midwest severe thunderstorm anvils, Monthly Weather Review, 116 (11), 2200-2224, DOI: 10.1175/1520-0493(1988)1162.0.CO;2.
  • Heymsfield G.M., Fulton R., Spinhirne J.D., 1991, Aircraft over flight measurements of Midwest severe storms: Implications on geosynchronous satellite interpretations, Monthly Weather Review, 119 (2), 436-456, DOI: 10.1175/1520-0493(1991)1192.0.CO;2.
  • Huschke R.E. (ed.), 1959, Glossary of Meteorology, American Meteorological Society, 638 pp.
  • Mańczak P., Wrona B., Woźniak A., Ogrodnik M., Folwarski M., 2021, Synoptic analysis of derecho over Poland on 11 July 2017, submitted to Meteorology Hydrology and Water Management.
  • Moisselin J.-M., Autones F., 2020, RDT-CW: Toward a Multidimensional Description of Convection, Météo-France, DPREVI/PI, available online https://www.eumetsat.int/media/15711 (data access 06.12.2021).
  • Murugavel P., Malap N., Balaji B., Mehajan R.K., Prabha T.V., 2017, Precipitable water as a predictor of LCL height, Theoretical and Applied Climatology, 130 (1-2), 467-476, DOI: 10.1007/s00704-016-1872-0.
  • Schadowitz A., 1988, The Electromagnetic Field, Courier Corporation, 741 s.
  • Schlesinger R.E., 1984, Mature thunderstorm cloud-top structure and dynamics: a three-dimensional numerical simulation study, Journal of Atmospheric Sciences, 41 99), 1551-1570, DOI: 10.1175/1520-0469(1984)0412.0.CO;2.
  • Schlesinger R.E., 1988, Effects of stratospheric lapse rate on thunderstorm cloud-top structure in a three-dimensional numerical simulation. Part I: some basic results of comparative experiments, Journal of Atmospheric Sciences, 45 (10), 1555-1570, DOI: 10.1175/1520-0469(1988)0452.0.CO;2.
  • Schmetz J., Tjemkes S.A., Gube M., van de Berg L., 1997, Monitoring deep convection and convective overshooting with METEOSAT, Advances in Space Research, 19 (3), 433-441, DOI: 10.1016/S0273-1177(97)00051-3.
  • Setvak M., Lindsey D.T., Novak P., Wang P.K., Radova M., Kerkmann J., Grasso L., Su S-H., Rabin R.M., Stastka J., Charvat Z., 2010, Satellite-observed cold-ring-shaped features atop deep convective clouds, Atmospheric Research, 97 (1-2), 80-96, DOI: 10.1016/j.atmosres.2010.03.009.
  • Setvak M., Rabin R.M., Wang P.K., 2007, Contribution of the MODIS instrument to observations of deep convective storms and stratospheric moisture detection in GOES and MSG imagery, Atmospheric Research, 83 (2-4), 505-518, DOI: 10.1016/j.atmosres.2005.09.015.
  • Showalter A.K., 1953, A stability index for thunderstorm forecasting, Bulletin of the American Meteorological Society, 34 (6), 250-252, DOI: 10.1175/1520-0477-34.6.250.
  • Taszarek M., Pilguj N., Orlikowski J., Surowiecki A., Walczakiewicz S., Pilorz W., Piasecki K., Pajurek Ł., Półrolniczak M., 2019, Derecho evolving from a mesocyclone - A study of 11 August 2017 severe weather outbreak in Poland: event analysis and high-resolution simulation, Monthly Weather Review, 147 (6), 2283-2306, DOI: 10.1175/MWR-D-18-0330.1.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-61d7dce5-9ed8-4f17-bc3b-b8baa0035c23
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