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David Šaur



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David Šaur


WSEAS Transactions on Environment and Development


Print ISSN: 1790-5079
E-ISSN: 2224-3496

Volume 14, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.


Volume 14, 2018



Statistical, Quantitative Probability and Nowcasting Forecasting Methods of Severe Convective Storms

AUTHORS: David Šaur

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ABSTRACT: This paper deals with the comparison of the statistical, quantitative and nowcasting method of prediction of convective precipitation and the risk of flood floods, which are the main outputs calculated by the Algorithm of Storm Prediction. The evaluation of the success of these outputs was carried out on the basis of verified 63 thunderstorms and three floods that affected the Zlín Region between 2015 and 2017. The first part of the article focuses on the description and evaluation of the predictive outputs of the quantitative prediction of the probability of the occurrence and the intensity of convective precipitation computed from NWP models. At the same time, these outcomes are compared with the outputs of the statistical and nowcasting predictions of convective precipitation. The statistical prediction of convective precipitation is calculated on the selection of the predicted and historical situation from the statistics database. The nowcasting prediction works with the outputs of the MMR50 X-band meteorological radar of the Zlín Region. The second part explores the use of track storms for statistical prediction, which is intended as an indicative and complementary forecast for the method of quantitative prediction of precipitation. The conclusion of the two chapters is a comparison of the success of the predicted outputs of methods, which can be used and put into practice in particular for the prediction of convective precipitation and the risk of floods for purposes of warning and meteorological services and crisis management

KEYWORDS: Weather forecasting; convective storm; statistics; flash floods; meteorological radars; crisis management; NWP models.

REFERENCES:

[1] SIVS - kód V. Bouřkové jevy: Český hydrometeorologický ústav. 1997 - 2018. Avalaible at: http://portal.chmi.cz/files/portal/docs/meteo/o m/vystrahy/napoveda/bourky.html

[2] Březková, L., Šálek, M., Novák, P., Kyznarová, H., Jonov, M. New methods of flash flood forecasting in the Czech Republic (2011) IFIP Advances in Information and Communication Technology, 359 AICT, pp. 550-557. DOI: 10.1007/978-3-642-22285- 6_59

[3] ŠAUR, D. Informační podpora krizového řízení kraje z hlediska hodnocení výskytu povodní. Zlín: Academia Centrum UTB ve Zlíně, 2017. 172s. ISBN 978-80-7454-712-6. Disertační práce. Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky, Ústav řízení procesů.

[4] MOTTRAM, Ruth, Kristian Pagh NIELSEN, Emily GLEESON, et al. Modelling Glaciers in the HARMONIE-AROME NWP model. Advances in Science and Research

[online]. 2017, 14(1), 323-334

[cit. 2018-03-20]. DOI: 10.5194/asr-14-323-2017. ISSN 1992-0636. Dostupné z: https://www.adv-sci-res.net/14/323/2017/

[5] PAN, S, GAO J., STENSRUD, D.,J. et al. Assimilation of Radar Radial Velocity and Reflectivity, Satellite Cloud Water Path, and Total Precipitable Water for Convective-Scale NWP in OSSEs. Journal of Atmospheric and Oceanic Technology. 2018, 35(1), 67-89. DOI: 10.1175/JTECH-D-17-0081.1. ISSN 0739- 0572. Dostupné z: http://journals.ametsoc.org/doi/10.1175/JTEC H-D-17-0081.1

[6] RAVAZANNI, G., AMENGUAL, A., CEPPI, A., HOMAR, V., ROMERO, R., LOMBARDI, G., MANCINI, M. Potentialities of ensemble strategies for flood forecasting over the Milano urban area (2016) Journal of Hydrology, 539, pp. 237-253. DOI: 10.1016/j.jhydrol.2016.05.023

[7] OSINSKI, R., BOUTTIER F. Short-range probabilistic forecasting of convective risks for aviation based on a lagged-average-forecast ensemble approach. Meteorological Applications

[online]. 2018, 25(1), 105-118. DOI: 10.1002/met.1674. ISSN 13504827. http://doi.wiley.com/10.1002/met.1674

[8] MEDINA, B., L.,. MACHADO L., A. T. Dual polarization radar Lagrangian parameters: a statistics-based probabilistic nowcasting model. Natural Hazards

[online]. 2017, 89(2), 705-721

[cit. 2018-04-18]. DOI: 10.1007/s11069-017-2988-y. ISSN 0921- 030X. Dostupné z: http://link.springer.com/10.1007/s11069-017- 2988-y

[9] SOKOL, Z., MEJSNAR J., POP L., BLIŽŇÁK, V. Probabilistic precipitation nowcasting based on an extrapolation of radar reflectivity and an ensemble approach. Atmospheric Research

[online]. 2017, 194, 245-257

[cit. 2018-04-18]. DOI: 10.1016/j.atmosres.2017.05.003. ISSN 01698095. Dostupné z: http://linkinghub.elsevier.com/retrieve/pii/S01 69809516305142

[10]GAO, S., HUANG D. Assimilating Conventional and Doppler Radar Data with a Hybrid Approach to Improve Forecasting of a Convective System. Atmosphere

[online]. 2017, 8(12), 188-

[cit. 2018-04-18]. DOI: 10.3390/atmos8100188. ISSN 2073-4433. Dostupné z: http://www.mdpi.com/2073- 4433/8/10/188

[11]HUANG, L. a LUO Y. Evaluation of quantitative precipitation forecasts by TIGGE ensembles for south China during the presummer rainy season. Journal of Geophysical Research: Atmospheres

[online]. 2017, 122(16), 8494-8516

[cit. 2018-04-18]. DOI: 10.1002/2017JD026512. ISSN 2169897X. Dostupné z: http://doi.wiley.com/10.1002/2017JD026512

[12]HARDY, J., GOURLEY, J.J., KIRSTETTER, P.-E., HONG, Y., KONG, F., FLAMIG, Z.L. A method for probabilistic flash flood forecasting (2016) Journal of Hydrology, 541, pp. 480-494. Cited 1 time. DOI: 10.1016/j.jhydrol.2016.04.007

[13]ŠAUR, D. Algoritmus předpovědi bouří: Technická specifikace. Univerzita Tomáše Bati ve Zlíně, Fakulta aplikované informatiky, CEBIA-Tech, 2018.

[14]Radiosonde Data

[online]. University of Wyoming, 1988 – 2018. Avalaible at: http://weather.uwyo.edu/upperair/sounding.ht ml

[15]RÝVA D. Prohlížeč aktuálních aerologických sondáží ČHMÚ, 2018. Avalaible at: http://sondaze.bourky.cz/

[16]Wetter3.de

[online]. Bingen, Německo, 2017. Avalaible at: http://www1.wetter3.de/

[17]KRÁL D., ČHMÚ. Počasí a voda - předpovědní výstražné informace

[online]. 2010-2012. Avalaible at: http://portal.chmi.cz/files/portal/docs/meteo/o m/zpravy/index.html

[18]Meteoalarm. 2008 – 2018. Avalaible at: http://www.meteoalarm.eu/

[19]European Storm Forecast Experiment: Forecast. 2002 – 2018. Avalaible at: http://www.estofex.org/

[20]Synoptical situation ČHMÚ, 2018. Avalaible at: http://portal.chmi.cz/aktualnisituace/aktualni-stavpocasi/evropa/synopticka-situace

[21]JSRadView – radar data browser ČHMÚ, 2010 - 2018 Avalaible at: http://portal.chmi.cz/files/portal/docs/meteo/ra d/data_jsradview.h

[22]Meteoradar KUZK

[online]. Zlínský kraj, 2015 Avalaible at: https://meteoradar.krzlinsky.cz/

[23]Graphs of automatic stations

[online]. ČHMÚ, 2006 - 2017

[cit. 2017-09-21]. Avalaible at: http://portal.chmi.cz/aktualni-situace/aktualnistav-pocasi/ceska-republika/stanice/grafyautomatickych-stanic

[24]ŘEZÁČOVÁ, D. et. al. Fyzika oblaků a srážek. Vyd. 1. Praha: Academia, 2007. 574 s., Gerstner; sv. 2. ISBN 978-80-200-1505-1.

[25]ŠAUR, D. Metodika využití meteorologického radaru Zlínského kraje pro potřeby krizového řízení. Zlín, Zlínský kraj, 2016.

[26]CHMIELEWSKI M., STAPOR P., KEDZIOR J., KUKIELKA M. Methods and Tools for Generating High Detail Terrain Model Utilized in Movement and Behavioral Models, Reflecting Border Control Actions. WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 13, 2017, Art. #38, pp. 367-378

[27]SARALEGUI, U, ANTON, M.A.,, ORDIERES-MERE J. Taking Advantage of an Existing Indoor Climate Monitorization for Measuring Occupancy. WSEAS Transactions on Environment and Development, ISSN / EISSN: 1790-5079 / 2224-3496, Volume 13, 2017, Art. #33, pp. 327-334.

WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 14, 2018, Art. #66, pp. 607-618


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