1.29 LIFE CYCLE OF CONVECTIVE CELLS WITH RAPID SCAN SATELLITE AND RADAR DATA IN THE EASTERN ALPINE REGION

Size: px
Start display at page:

Download "1.29 LIFE CYCLE OF CONVECTIVE CELLS WITH RAPID SCAN SATELLITE AND RADAR DATA IN THE EASTERN ALPINE REGION"

Transcription

1 1.29 LIFE CYCLE OF CONVECTIVE CELLS WITH RAPID SCAN SATELLITE AND RADAR DATA IN THE EASTERN ALPINE REGION Friedrich Wölfelmaier 1, Veronika Zwatz-Meise 2 1 ZAMG, Regional center Styria, Graz, Austria, 2 ZAMG, Department for Synoptic Meteorology, Vienna, Austria 1. INTRODUCTION The understanding of the life cycle of convective cells is important for Nowcasting of these cells. In the following work 25 life-cycles of convective cells were analysed with a focus on the growing and mature stage. The full life-cycle was studied in the radar reflectivity. The case studies, all from the year 3, were selected mainly within the Austrian state of Styria, which lies in the southeast of the country and has a high frequency of thunderstorms. Some cases were chosen from other places in Austria. analysis was performed manually with the MAVIS visualisation system. Investigated parameters for the analysed convective cell: 2-D radar reflectivity (Maxcappi), 1-min resolution IR- Cloud top temperature (CTT) from rapid scan, 1-min resolution number of lightning flashes, 1 minutes resolution VIS brightness, 3 minutes resolution 2. METHOD Only cases with intense thunderstorm activity were selected for the analysis. As a selection criteria the radar reflectivity in the MAXCAPPI (maximum projection to the ground) had to exceed 54 dbz, which was the highest of seven intensity classes of the radar reflectivity colour scale in MAVIS (Met Austria Visualisation System). Lightning activity was also a necessary condition for the choice of the cases. Heavy thunderstorms are often organised in multi-cell storms. The selected cases contain mostly multi-cell storms and some single cell and supercell cases. For a multicell storm the life cycle of one individual cell was analysed. For about half of the cases local hail warnings were issued via SMS. The 3. Results 3.1 Convective cell life cycle phases in the radar reflectivity For the duration of the different life cycle phases, criteria were selected to define the growing phase, the maximum phase and the dissipating phase in the radar reflectivity. In the IR-temperature mainly the growing stage was studied. a) growing phase in radar reflectivity rise time: dbz - 54 dbz min 3- min 9- min rise time / min Figure 1: Frequency of radar reflectivity rise time from to 54 dbz during the growing phase * Corresponding author address: Friedrich Wölfelmaier, ZAMG, Flughafenstrasse 4, 73 Feldkirchen, Austria; f.woelfelmaier@zamg.ac.at

2 rise time: 3 dbz - 54 dbz min 4-6 min > 6 min rise time / min Figure 2: Frequency of rise time of radar reflectivity from 3 to 54 dbz during the growing phase b) maximum phase in the radar reflectivity duration of the maximum phase with 54 dbz (red) min -9 min > 9 min time / min Figure 3: Frequency of the maximum phase length in the with radar reflectivity c) dissipating phase in the radar reflectivity dissipating phase, 54 dbz - dbz % 7% 6% 5% 4% 3% % 1% % 1-3 min 4-7 min decay time Figure 4: Frequency of decay time of radar reflectivity from 3 to 54 dbz

3 3.2 CTT during the radar life cycle CTT at the beginning of the 54 dbz radar reflectivity Cloud top temperature at start of 54 dbz radar signal 6 4 Mean: 5,4 C < -52 C -52 to -37 C -37 to -27 C cloud top temperature Figure 5: Cloud top temperatures at the beginning of the 54 dbz radar signal When the cloud top temperature in the IR Satellite image goes below -52 C, the radar signal often exceeds an intensity of 54 dbz. This happens in 64 % of the analysed cases. In 28 % of the cases the radar signal exceeds 54 dbz, if the cloud top temperature falls below a value between 37 C and 52 C. In 8 % of the cases 54 dbz in the radar is reached, when the cloud top temperature lies between 27 C and 37 C Minimum CTT during the whole life cycle Minimum cloud top temperature during full life cycle 6 4 < -52 C -4 C cloud top temperature Mean: 6, C Fig. 6: Minimum cloud top temperature during the whole life cycle The minimum CTT during the whole life cycle falls below -52 C in 96% of the cases, only in one case (4 % of the cases) it is 4 C.

4 3.2.2 Temporal correlation between IR-temperature and radar life cycle Figure 7: Median of the convective cell lifecycle phases for radar with corresponding run of the IR temperature curve In Figure 7 the median of the radar life cycle phases is plotted together with run of the CTT curve. In the radar life cycle the median of the growing phase lasts 5 minutes, the phase with maximum reflectivity 4 minutes and the dissipating phase 25 minutes. The drop of the CTT from C to 53 C lasts 6 minutes in the median. In the developing stage of a cell the cloud top temperature falls rapidly. The early mature stage is marked, where the temperature curve becomes flat. In this transition of the cloud top temperature curve, the strongest radar signals begin to occur. The strongest radar reflectivities start 1 minutes after the time, when the IR-temperature curve of the cell becomes flat. During the time with very low ( -53 C) and rather constant CTT, repeated phases with strong radar signals can occur until the time when the CTT begins to fall. Sometimes the convective cloud associated with a radar echo is hidden by the higher cloud tops of a close by and further developed cell. In these cases it is only possible to analyse the CTT of a whole multicell system. 3.3 VIS-brightness maximum Radar reflectivity maximum The brightness maximum occurs mainly to 3 minutes after the radar reflectivity maximum time difference of occurence VIS maximum - Radar maximum 6 4 VIS before radar VIS after radar -3 - min -3 min 4-6 min time / min Figure 8: Time shift in occurrence of radar maximum and VIS-brightness maximum

5 3.4 Lightning frequency radar reflectivity The maximum lightning density is reached during the phase of the strongest radar signal. Within this phase it varies. 5. Acknowledgements This work has been supported by the INTERREG IIIB project METEORISK and ZAMG. Thanks are also due to the support of the remote sensing department of ZAMG. 4. Conclusions and Outlook From the analysed cases characteristic phases of the 2-D radar reflectivity lifecycle could be identified. The correlation of radar with CTT, VIS brightness and lightning frequency shows typical common patterns of the cell development. 6. References Auer, M., 2: Betrachtung konvektiver Systeme unter Zuhilfenahme von Meteosat-6 rapd scan während MAP-SOP, Master thesis, University of Vienna

For the operational forecaster one important precondition for the diagnosis and prediction of

For the operational forecaster one important precondition for the diagnosis and prediction of Initiation of Deep Moist Convection at WV-Boundaries Vienna, Austria For the operational forecaster one important precondition for the diagnosis and prediction of convective activity is the availability

More information

SATREP Online. Jarno Schipper Zentralanstalt für Meteorologie und Geodynamik, Austria. Vesa Nietosvaara Finnish Met Institute, Finland

SATREP Online. Jarno Schipper Zentralanstalt für Meteorologie und Geodynamik, Austria. Vesa Nietosvaara Finnish Met Institute, Finland SATREP Online Jarno Schipper Zentralanstalt für Meteorologie und Geodynamik, Austria. Vesa Nietosvaara Finnish Met Institute, Finland SATellite REPort A method of deriving a thorough view of the actual

More information

Research on Lightning Nowcasting and Warning System and Its Application

Research on Lightning Nowcasting and Warning System and Its Application Research on Lightning Nowcasting and Warning System and Its Application Wen Yao Chinese Academy of Meteorological Sciences Beijing, China yaowen@camscma.cn 2016.07 1 CONTENTS 1 2 3 4 Lightning Hazards

More information

Satellite-based Convection Nowcasting and Aviation Turbulence Applications

Satellite-based Convection Nowcasting and Aviation Turbulence Applications Satellite-based Convection Nowcasting and Aviation Turbulence Applications Kristopher Bedka Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin-Madison In collaboration

More information

Hail nowcast exploiting radar and satellite observations

Hail nowcast exploiting radar and satellite observations Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss Hail nowcast exploiting radar and satellite observations Ulrich Hamann, Elena Leonarduzzi, Kristopher Bedka,

More information

SATELLITE MONITORING OF THE CONVECTIVE STORMS

SATELLITE MONITORING OF THE CONVECTIVE STORMS SATELLITE MONITORING OF THE CONVECTIVE STORMS FORECASTERS POINT OF VIEW Michaela Valachová, EUMETSAT Workshop at ECMWF User Meeting Reading, 13 June 2017 Central Forecasting Office, Prague michaela.valachova@chmi.cz

More information

Research on Jumps Characteristic of Lightning Activities in. a Hailstorm

Research on Jumps Characteristic of Lightning Activities in. a Hailstorm Research on Jumps Characteristic of Lightning Activities in a Hailstorm YAO Wen, MA Ying, MENG Qing (Chinese Academy of Meteorological Sciences, Beijing, China) 1. INTRODUCTION In hail cloud, there exist

More information

Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds featuring vigorous updrafts, precipitation and lightning

Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds featuring vigorous updrafts, precipitation and lightning Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds featuring vigorous updrafts, precipitation and lightning Thunderstorms are responsible for most of what we refer to as severe weather,

More information

CASE STUDY OF THE 20 MAY 2008 TORNADIC STORM IN HUNGARY

CASE STUDY OF THE 20 MAY 2008 TORNADIC STORM IN HUNGARY CASE STUDY OF THE 20 MAY 2008 TORNADIC STORM IN HUNGARY Mária Putsay 1, Jochen Kerkmann 2 and Ildikó Szenyán 1 1 Hungarian Meteorological Service, H-1525 Budapest, P. O. Box 38, Hungary 2 EUMETSAT, am

More information

Evolution of radar and lightning parameters in summer thunderstorms

Evolution of radar and lightning parameters in summer thunderstorms Evolution of radar and lightning parameters in summer thunderstorms rms Rigo,, T., Argemí,, O., Bech,, J., and Pineda, N. Servei Meteorològic de Catalunya, c/berlín 38-46 Barcelona 08029, SPAIN E-mail:

More information

Nowcasting of Severe Weather from Satellite Images (for Southern

Nowcasting of Severe Weather from Satellite Images (for Southern Nowcasting of Severe Weather from Satellite Images (for Southern Europe) Petra Mikuš Jurković Forecasting/ nowcasting of convective storms NWP models cannot well predict the exact location and intesity

More information

CHARACTERISATION OF STORM SEVERITY BY USE OF SELECTED CONVECTIVE CELL PARAMETERS DERIVED FROM SATELLITE DATA

CHARACTERISATION OF STORM SEVERITY BY USE OF SELECTED CONVECTIVE CELL PARAMETERS DERIVED FROM SATELLITE DATA CHARACTERISATION OF STORM SEVERITY BY USE OF SELECTED CONVECTIVE CELL PARAMETERS DERIVED FROM SATELLITE DATA Piotr Struzik Institute of Meteorology and Water Management, Satellite Remote Sensing Centre

More information

Figure 5: Comparison between SAFIR warning and radar-based hail detection for the hail event of June 8, 2003.

Figure 5: Comparison between SAFIR warning and radar-based hail detection for the hail event of June 8, 2003. SAFIR WARNING : Expected risk Radar-based Probability of Hail 0915 0930 0945 1000 Figure 5: Comparison between SAFIR warning and radar-based hail detection for the hail event of June 8, 2003. Lightning

More information

Early detection of thunderstorms using satellite, radar and

Early detection of thunderstorms using satellite, radar and Federal Department of Home of Home Affairs Affairs FDHA FDHA Federal Office of of Meteorology and and Climatology MeteoSwiss Early detection of thunderstorms using satellite, radar and Observing convection

More information

NEFODINA: A TOOL FOR AUTOMATIC DETECTION OF SEVERE CONVECTIVE PHENOMENA

NEFODINA: A TOOL FOR AUTOMATIC DETECTION OF SEVERE CONVECTIVE PHENOMENA NEFODINA: A TOOL FOR AUTOMATIC DETECTION OF SEVERE CONVECTIVE PHENOMENA Davide MELFI IAFMS, Centro Operativo per la Meteorologia, Pomezia (Rome), Italy Abstract The NEFODINA (DYNAmic NEFOanalisys) product

More information

Warning procedures for extreme events in the Emilia-Romagna Region

Warning procedures for extreme events in the Emilia-Romagna Region Warning procedures for extreme events in the Emilia-Romagna Region Anna Fornasiero, Miria Celano, Roberta Amorati, Virginia Poli and Pier Paolo Alberoni Arpa Emilia-Romagna Hydro-Meteo-Climate Service,

More information

Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds featuring vigorous updrafts, precipitation and lightning

Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds featuring vigorous updrafts, precipitation and lightning Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds featuring vigorous updrafts, precipitation and lightning Thunderstorm: a cumulonimbus cloud or collection of cumulonimbus clouds

More information

Research on Lightning Warning with SAFIR Lightning Observation and Meteorological detection Data in Beijing-Hebei Areas

Research on Lightning Warning with SAFIR Lightning Observation and Meteorological detection Data in Beijing-Hebei Areas Research on Lightning Warning with SAFIR Lightning Observation and Meteorological detection Data in Beijing-Hebei Areas Meng Qing 1 Zhang Yijun 1 Yao Wen 1 Zhu Xiaoyan 1 He Ping 1 Lv Weitao 1 Ding Haifang

More information

THUNDERSTORM LIGHTNING DATA

THUNDERSTORM LIGHTNING DATA THUNDERSTORM EVOLUTION ANALYSIS AND ESTIMATION USING RADAR AND TOTAL LIGHTNING DATA Jianhua Dai 1,2 *, Yuan Wang 1, Lei Chen 2, Lan Tao 2, Hong Lin 2 1. Department of Atmospheric Sciences, Key Laboratory

More information

1 of 7 Thunderstorm Notes by Paul Sirvatka College of DuPage Meteorology. Thunderstorms

1 of 7 Thunderstorm Notes by Paul Sirvatka College of DuPage Meteorology. Thunderstorms 1 of 7 Thunderstorm Notes by Paul Sirvatka College of DuPage Meteorology Thunderstorms There are three types of thunderstorms: single-cell (or air mass) multicell (cluster or squall line) supercell Although

More information

Detailed flow, hydrometeor and lightning characteristics of an isolated, hail producing thunderstorm during COPS

Detailed flow, hydrometeor and lightning characteristics of an isolated, hail producing thunderstorm during COPS Detailed flow, hydrometeor and lightning characteristics of an isolated, hail producing thunderstorm during COPS, Martin Hagen, Hartmut Höller, Hans Volkert Institut für Physik der Atmosphäre, DLR Oberpfaffenhofen

More information

Meteosat Third Generation (MTG): Lightning Imager and its products Jochen Grandell

Meteosat Third Generation (MTG): Lightning Imager and its products Jochen Grandell 1 Go to View menu and click on Slide Master to update this footer. Include DM reference, version number and date Meteosat Third Generation (MTG): Lightning Imager and its products Jochen Grandell Topics

More information

MSG FOR NOWCASTING - EXPERIENCES OVER SOUTHERN AFRICA

MSG FOR NOWCASTING - EXPERIENCES OVER SOUTHERN AFRICA MSG FOR NOWCASTING - EXPERIENCES OVER SOUTHERN AFRICA Estelle de Coning and Marianne König South African Weather Service, Private Bag X097, Pretoria 0001, South Africa EUMETSAT, Am Kavalleriesand 31, D-64295

More information

Satellite-based thunderstorm tracking, monitoring and nowcasting over South Africa

Satellite-based thunderstorm tracking, monitoring and nowcasting over South Africa Satellite-based thunderstorm tracking, monitoring and nowcasting over South Africa Caroline Forster 1, Estelle de Coning 2, Sebastian Diebel 1, Tobias Zinner 3 EUMETSAT Meteorological Satellite Conference

More information

Martin Benko *, Marián Jurašek, Ján Ka ák, André Simon, Jozef Vivoda Slovak Hydrometeorological Institute, SHMÚ, Slovak Republic

Martin Benko *, Marián Jurašek, Ján Ka ák, André Simon, Jozef Vivoda Slovak Hydrometeorological Institute, SHMÚ, Slovak Republic 7.6 DEVELOPMENT OF NOWCASTING TECHNIQUES AT SHMÚ Martin Benko *, Marián Jurašek, Ján Ka ák, André Simon, Jozef Vivoda Slovak Hydrometeorological Institute, SHMÚ, Slovak Republic 1. INTRODUCTION Early attempts

More information

AOMSUC-6 Training Event

AOMSUC-6 Training Event Effective use of high temporal and spatial resolution Himawari-8 data AOMSUC-6 Training Event Bodo Zeschke Australian Bureau of Meteorology Training Centre Australian VLab Centre of Excellence Content

More information

Thunderstorm Downburst Prediction: An Integrated Remote Sensing Approach. Ken Pryor Center for Satellite Applications and Research (NOAA/NESDIS)

Thunderstorm Downburst Prediction: An Integrated Remote Sensing Approach. Ken Pryor Center for Satellite Applications and Research (NOAA/NESDIS) Thunderstorm Downburst Prediction: An Integrated Remote Sensing Approach Ken Pryor Center for Satellite Applications and Research (NOAA/NESDIS) Topics of Discussion Thunderstorm Life Cycle Thunderstorm

More information

2.14 NOWCASTING THUNDERSTORMS IN COMPLEX CASES USING RADAR DATA

2.14 NOWCASTING THUNDERSTORMS IN COMPLEX CASES USING RADAR DATA 2.14 NOWCASTING THUNDERSTORMS IN COMPLEX CASES USING RADAR DATA Alessandro M. Hering* 1, Stéphane Sénési 2, Paolo Ambrosetti 1, and Isabelle Bernard-Bouissières 2 1 MeteoSwiss, ML, Locarno-Monti, Switzerland

More information

Remote Sensing in Meteorology: Satellites and Radar. AT 351 Lab 10 April 2, Remote Sensing

Remote Sensing in Meteorology: Satellites and Radar. AT 351 Lab 10 April 2, Remote Sensing Remote Sensing in Meteorology: Satellites and Radar AT 351 Lab 10 April 2, 2008 Remote Sensing Remote sensing is gathering information about something without being in physical contact with it typically

More information

Overview on project activities with regard to thunderstorms

Overview on project activities with regard to thunderstorms Overview on project activities with regard to thunderstorms Arnold Tafferner Co-workers: C. Forster, H. Mannstein, T. Zinner, M. Hagen, T. Gerz, DLR Institut für Physik der Atmosphäre (IPA) Wetter&Fliegen

More information

A new look at statistical evaluations of cloud seeding experiments WMA Meeting 9-12 April 2013 San Antonio, Texas

A new look at statistical evaluations of cloud seeding experiments WMA Meeting 9-12 April 2013 San Antonio, Texas A new look at statistical evaluations of cloud seeding experiments WMA Meeting 9-12 April 2013 San Antonio, Texas Roelof Bruintjes, Dan Breed, Mike Dixon, Sarah Tessendorf, Courtney Weeks, DuncanAxisa,

More information

16 September 2005 Northern Pennsylvania Supercell Thunderstorm by Richard H. Grumm National Weather Service Office State College, PA 16803

16 September 2005 Northern Pennsylvania Supercell Thunderstorm by Richard H. Grumm National Weather Service Office State College, PA 16803 16 September 2005 Northern Pennsylvania Supercell Thunderstorm by Richard H. Grumm National Weather Service Office State College, PA 16803 1. INTRODUCTION During the afternoon hours of 16 September 2005,

More information

Long term analysis of convective storm tracks based on C-band radar reflectivity measurements

Long term analysis of convective storm tracks based on C-band radar reflectivity measurements Long term analysis of convective storm tracks based on C-band radar reflectivity measurements Edouard Goudenhoofdt, Maarten Reyniers and Laurent Delobbe Royal Meteorological Institute of Belgium, 1180

More information

Combined and parallel use of MSG composite images and SAFNWC/MSG products at the Hungarian Meteorological Service

Combined and parallel use of MSG composite images and SAFNWC/MSG products at the Hungarian Meteorological Service Combined and parallel use of MSG composite images and SAFNWC/MSG products at the Hungarian Meteorological Service Mária Putsay, Kornél Kolláth and Ildikó Szenyán Hungarian Meteorological Service H-1525

More information

eport Nataša Strelec Mahović Meteorological and Hydrological Service, Grič 3, Zagreb, Croatia EUMeTrain project Abstract

eport Nataša Strelec Mahović Meteorological and Hydrological Service, Grič 3, Zagreb, Croatia EUMeTrain project Abstract eport Nataša Strelec Mahović Meteorological and Hydrological Service, Grič 3, Zagreb, Croatia EUMeTrain project Abstract The paper presents the concept of eport, an interface enabling the combined analysis

More information

Enhanced Road Weather Warnings and Improved Communication Strategies within Central Europe as part of the INCA-CE project

Enhanced Road Weather Warnings and Improved Communication Strategies within Central Europe as part of the INCA-CE project ID: 0045 Enhanced Road Weather Warnings and Improved Communication Strategies within Central Europe as part of the INCA-CE project B. Bica 1, A. Kann 1 and I. Meirold-Mautner 1 1 Central Institute for

More information

DEVELOPMENT OF CELL-TRACKING ALGORITHM IN THE CZECH HYDROMETEOROLOGICAL INSTITUTE

DEVELOPMENT OF CELL-TRACKING ALGORITHM IN THE CZECH HYDROMETEOROLOGICAL INSTITUTE DEVELOPMENT OF CELL-TRACKING ALGORITHM IN THE CZECH HYDROMETEOROLOGICAL INSTITUTE H. Kyznarová 1 and P. Novák 2 1 Charles University, Faculty of Mathematics and Physics, kyznarova@chmi.cz 2 Czech Hydrometeorological

More information

SUPER-RAPID SCAN SATELLITE IMAGERY ANALYSIS OF TWO HAILSTORMS SAMPLED BY HAILSTONE

SUPER-RAPID SCAN SATELLITE IMAGERY ANALYSIS OF TWO HAILSTORMS SAMPLED BY HAILSTONE SUPER-RAPID SCAN SATELLITE IMAGERY ANALYSIS OF TWO HAILSTORMS SAMPLED BY HAILSTONE Jennifer M. Laflin* and Scott F. Blair NOAA/NWS Kansas City/Pleasant Hill, Missouri Chad Gravelle NOAA/NWS Operations

More information

THUNDERSTORMS Brett Ewing October, 2003

THUNDERSTORMS Brett Ewing October, 2003 THUNDERSTORMS Brett Ewing October, 2003 A natural hazard that occurs often on a daily basis in the lower and mid-latitudes is thunderstorms. Thunderstorms is a weather system that can produce lightning,tornadoes,

More information

Chapter 14 Thunderstorm Fundamentals

Chapter 14 Thunderstorm Fundamentals Chapter overview: Thunderstorm appearance Thunderstorm cells and evolution Thunderstorm types and organization o Single cell thunderstorms o Multicell thunderstorms o Orographic thunderstorms o Severe

More information

Module 11: Meteorology Topic 6 Content: Severe Weather Notes

Module 11: Meteorology Topic 6 Content: Severe Weather Notes Severe weather can pose a risk to you and your property. Meteorologists monitor extreme weather to inform the public about dangerous atmospheric conditions. Thunderstorms, hurricanes, and tornadoes are

More information

10/21/2012. Chapter 10 Thunderstorms. Part II. Growth and Development of ordinary Cell Thunderstorms Thunderstorm Electrification.

10/21/2012. Chapter 10 Thunderstorms. Part II. Growth and Development of ordinary Cell Thunderstorms Thunderstorm Electrification. Chapter 10 Thunderstorms Part I Growth and Development of ordinary Cell Thunderstorms Thunderstorm Electrification Tornadoes Part II Simplified model depicting the life cycle of an ordinary thunderstorm

More information

RGB Experts and Developers Workshop 2017 Tokyo, Japan

RGB Experts and Developers Workshop 2017 Tokyo, Japan "Application of the Sandwich Product and variations to this as used by Australian Forecasters and as presented during training at the Australian VLab Centre of Excellence". RGB Experts and Developers Workshop

More information

THE MESOSCALE CONVECTIVE SYSTEM FROM

THE MESOSCALE CONVECTIVE SYSTEM FROM RISCURI I CATASTROFE, NR.X, VOL.9, NR. 1/2011 THE MESOSCALE CONVECTIVE SYSTEM FROM 24.07.2010 ELZA HAUER, 1 C. NICHITA 1 ABSTRACT. The Mesoscale Convective System from 24.07.2010. A severe weather event

More information

Today s lecture. Charge separation in clouds Lightning and thunder

Today s lecture. Charge separation in clouds Lightning and thunder Today s lecture Charge separation in clouds Lightning and thunder Warming up knowledge Storm - convective precipitation (from cumulus and cumulonimbus (Cb) clouds) Prerequisite for a storm - cloud particles

More information

Road weather forecasts and MDSS in Slovakia

Road weather forecasts and MDSS in Slovakia ID: 0030 Road weather forecasts and MDSS in Slovakia M. Benko Slovak Hydrometeorological Institute (SHMI), Jeséniova 17, 83315 Bratislava, Slovakia Corresponding author s E-mail: martin.benko@shmu.sk ABSTRACT

More information

Improving real time observation and nowcasting RDT. E de Coning, M Gijben, B Maseko and L van Hemert Nowcasting and Very Short Range Forecasting

Improving real time observation and nowcasting RDT. E de Coning, M Gijben, B Maseko and L van Hemert Nowcasting and Very Short Range Forecasting Improving real time observation and nowcasting RDT E de Coning, M Gijben, B Maseko and L van Hemert Nowcasting and Very Short Range Forecasting Introduction Satellite Application Facilities (SAFs) are

More information

ATS 351, Spring 2010 Lab #11 Severe Weather 54 points

ATS 351, Spring 2010 Lab #11 Severe Weather 54 points ATS 351, Spring 2010 Lab #11 Severe Weather 54 points Question 1 (10 points): Thunderstorm development a) Sketch and describe the stages of development of a single cell thunderstorm. About how long does

More information

Thunderstorms. Ordinary Cell Thunderstorms. Ordinary Cell Thunderstorms. Ordinary Cell Thunderstorms 5/2/11

Thunderstorms. Ordinary Cell Thunderstorms. Ordinary Cell Thunderstorms. Ordinary Cell Thunderstorms 5/2/11 A storm containing lightning and thunder; convective storms Chapter 14 Severe thunderstorms: At least one: large hail wind gusts greater than or equal to 50 kt Tornado 1 2 Ordinary Cell Ordinary Cell AKA

More information

A Study of Radar Echoes and their Relation to Lightning. Discharges of Thunderclouds in the Hokuriku District

A Study of Radar Echoes and their Relation to Lightning. Discharges of Thunderclouds in the Hokuriku District April 1993 K. Michimoto 195 A Study of Radar Echoes and their Relation to Lightning Discharges of Thunderclouds in the Hokuriku District Part II: Observation and Analysis of "Single-Flash" Thunderclouds

More information

Reading. What meteorological conditions precede a thunderstorm? Thunderstorms: ordinary or single cell storms, multicell storms, supercell storms

Reading. What meteorological conditions precede a thunderstorm? Thunderstorms: ordinary or single cell storms, multicell storms, supercell storms Thunderstorms: ordinary or single cell storms, multicell storms, supercell storms Reading Ahrens, Chapter 14: Thunderstorms and Tornadoes This lecture + next (Lightning, tornadoes) will cover the topic.

More information

Lecture 15: Doppler Dilemma, Range and Velocity Folding, and Interpreting Doppler velocity patterns

Lecture 15: Doppler Dilemma, Range and Velocity Folding, and Interpreting Doppler velocity patterns MET 4410 Remote Sensing: Radar and Satellite Meteorology MET 5412 Remote Sensing in Meteorology Lecture 15: Doppler Dilemma, Range and Velocity Folding, and Interpreting Doppler velocity patterns Doppler

More information

INTERPRETATION OF MSG IMAGES, PRODUCTS AND SAFNWC OUTPUTS FOR DUTY FORECASTERS

INTERPRETATION OF MSG IMAGES, PRODUCTS AND SAFNWC OUTPUTS FOR DUTY FORECASTERS INTERPRETATION OF MSG IMAGES, PRODUCTS AND SAFNWC OUTPUTS FOR DUTY FORECASTERS M. Putsay, M. Rajnai, M. Diószeghy, J. Kerényi, I.G. Szenyán and S. Kertész Hungarian Meteorological Service, H-1525 Budapest,

More information

The October 2015 Supercell Storm in Israel

The October 2015 Supercell Storm in Israel The October 2015 Supercell Storm in Israel Alissa Razy, Elyakom Vadislavsky, Anat Baharad, Noam Halfon, Itsik Carmona, Yoav Levi, Amit Savir Introduction A high-impact weather event associated with severe

More information

Utilising Radar and Satellite Based Nowcasting Tools for Aviation Purposes in South Africa. Erik Becker

Utilising Radar and Satellite Based Nowcasting Tools for Aviation Purposes in South Africa. Erik Becker Utilising Radar and Satellite Based Nowcasting Tools for Aviation Purposes in South Africa Erik Becker Morné Gijben, Mary-Jane Bopape, Stephanie Landman South African Weather Service: Nowcasting and Very

More information

REPORT ON THE ACTIVITIES OF THE EUMETSAT-ESSL CONVECTION WORKING GROUP

REPORT ON THE ACTIVITIES OF THE EUMETSAT-ESSL CONVECTION WORKING GROUP REPORT ON THE ACTIVITIES OF THE EUMETSAT-ESSL CONVECTION WORKING GROUP Marianne König EUMETSAT, Eumetsat Allee 1, 64295 Darmstadt, Germany Abstract The focus of the Convection Working Group is to have

More information

Meteorology. Chapter 10 Worksheet 2

Meteorology. Chapter 10 Worksheet 2 Chapter 10 Worksheet 2 Meteorology Name: Circle the letter that corresponds to the correct answer 1) Downdrafts totally dominate the in the development of a thunderstorm. a) dissipating stage b) mature

More information

Sunday, 13 June 1999

Sunday, 13 June 1999 Sunday, 13 June 1999 Julian Day 164 Meteorological Summary A cold front moved in over night, cooling the air at low levels. Warming aloft occurred and stabilized the air in mid-levels, suppressing convective

More information

Weather Systems. The air around high-pressure weather systems tends to swirl in a clockwise direction, and usually brings clear skies.

Weather Systems. The air around high-pressure weather systems tends to swirl in a clockwise direction, and usually brings clear skies. Weather Systems A weather system is a set of temperature, wind, pressure, and moisture conditions for a certain region that moves as a unit for a period of several days. Low-pressure weather systems form

More information

A Questionnaire on the Utilization of Satellite Data from the New Generation of Geostationary Meteorological Satellites

A Questionnaire on the Utilization of Satellite Data from the New Generation of Geostationary Meteorological Satellites 3.1 User requirements for satellite data utilization, especially for new-generation satellites A Questionnaire on the Utilization of Satellite Data from the New Generation of Geostationary Meteorological

More information

STATISTICAL ANALYSIS ON SEVERE CONVECTIVE WEATHER COMBINING SATELLITE, CONVENTIONAL OBSERVATION AND NCEP DATA

STATISTICAL ANALYSIS ON SEVERE CONVECTIVE WEATHER COMBINING SATELLITE, CONVENTIONAL OBSERVATION AND NCEP DATA 12.12 STATISTICAL ANALYSIS ON SEVERE CONVECTIVE WEATHER COMBINING SATELLITE, CONVENTIONAL OBSERVATION AND NCEP DATA Zhu Yaping, Cheng Zhoujie, Liu Jianwen, Li Yaodong Institute of Aviation Meteorology

More information

Weather Systems III: Thunderstorms and Twisters

Weather Systems III: Thunderstorms and Twisters Weather Systems III: Thunderstorms and Twisters Review 1. Definition of airmasses? Bergeron classification of air masses 2. Surface weather analysis: Station model, wind speed code, present weather 3.

More information

Nowcasting thunderstorms for aeronautical end-users

Nowcasting thunderstorms for aeronautical end-users Nowcasting thunderstorms for aeronautical end-users Jean-Marc Moisselin Météo-France, Nowcasting Department co-authors: Céline Jauffret (Météo-France) Overview Introduction SAT RADAR NWP image crédit:

More information

Strategic Radar Enhancement Project (SREP) Forecast Demonstration Project (FDP) The future is here and now

Strategic Radar Enhancement Project (SREP) Forecast Demonstration Project (FDP) The future is here and now Strategic Radar Enhancement Project (SREP) Forecast Demonstration Project (FDP) The future is here and now Michael Berechree National Manager Aviation Weather Services Australian Bureau of Meteorology

More information

TIME EVOLUTION OF A STORM FROM X-POL IN SÃO PAULO: 225 A ZH-ZDR AND TITAN METRICS COMPARISON

TIME EVOLUTION OF A STORM FROM X-POL IN SÃO PAULO: 225 A ZH-ZDR AND TITAN METRICS COMPARISON TIME EVOLUTION OF A STORM FROM X-POL IN SÃO PAULO: 225 A ZH-ZDR AND TITAN METRICS COMPARISON * Roberto V Calheiros 1 ; Ana M Gomes 2 ; Maria A Lima 1 ; Carlos F de Angelis 3 ; Jojhy Sakuragi 4 (1) Voluntary

More information

Civil protection. (public, government and local authorities institutions)

Civil protection. (public, government and local authorities institutions) 23 Civil protection (public, government and local authorities institutions) Overview Statistics from the Centre for Research on the Epidemiology of Disasters (CRED) at the University of Leuven, Belgium,

More information

CLOUDS & THUNDERSTORMS

CLOUDS & THUNDERSTORMS Funding provided by NOAA Sectoral Applications Research Project CLOUDS & THUNDERSTORMS Basic Climatology Oklahoma Climatological Survey How are clouds made? Clouds form when air is cooled to its dewpoint

More information

INCA-CE achievements and status

INCA-CE achievements and status INCA-CE achievements and status Franziska Strauss Yong Wang Alexander Kann Benedikt Bica Ingo Meirold-Mautner INCA Central Europe Integrated nowcasting for the Central European area This project is implemented

More information

Performance of TANC (Taiwan Auto- Nowcaster) for 2014 Warm-Season Afternoon Thunderstorm

Performance of TANC (Taiwan Auto- Nowcaster) for 2014 Warm-Season Afternoon Thunderstorm Performance of TANC (Taiwan Auto- Nowcaster) for 2014 Warm-Season Afternoon Thunderstorm Wei-Peng Huang, Hui-Ling Chang, Yu-Shuang Tang, Chia-Jung Wu, Chia-Rong Chen Meteorological Satellite Center, Central

More information

Aviation Hazards: Thunderstorms and Deep Convection

Aviation Hazards: Thunderstorms and Deep Convection Aviation Hazards: Thunderstorms and Deep Convection TREND Diagnosis of thunderstorm hazards using imagery Contents Satellite imagery Visible, infrared, water vapour Basic cloud identification Identifying

More information

Fundamentals of Radar Display. Atmospheric Instrumentation

Fundamentals of Radar Display. Atmospheric Instrumentation Fundamentals of Radar Display Outline Fundamentals of Radar Display Scanning Strategies Basic Geometric Varieties WSR-88D Volume Coverage Patterns Classic Radar Displays and Signatures Precipitation Non-weather

More information

Tool for Storm Analysis Using Multiple Data Sets

Tool for Storm Analysis Using Multiple Data Sets Tool for Storm Analysis Using Multiple Data Sets Robert M. Rabin 1,2 and Tom Whittaker 2 1 NOAA/National Severe Storms Laboratory, Norman OK 73069, USA 2 Cooperative Institute for Meteorological Satellite

More information

Page 1/8 Long duration validation of PGE11. SAF - Nowcasting Product Assessment Review Worshop (Madrid ctober 2005

Page 1/8 Long duration validation of PGE11. SAF - Nowcasting Product Assessment Review Worshop (Madrid ctober 2005 Page 1/8 Plan Research activity (visiting scientist: Oleksiy Kryvobok) Use of other PGEs and HRVis for RDT improvement Tuning PGE11 satellite-based discrimination using SEVIRI data Long duration validation

More information

ERAD Nowcasting thunderstorms in the Alpine region using a radar based adaptive thresholding scheme

ERAD Nowcasting thunderstorms in the Alpine region using a radar based adaptive thresholding scheme Proceedings of ERAD (2004): 206 211 c Copernicus GmbH 2004 ERAD 2004 Nowcasting thunderstorms in the Alpine region using a radar based adaptive thresholding scheme A. M. Hering 1, C. Morel 2, G. Galli

More information

Use the terms from the following list to complete the sentences below. Each term may be used only once.

Use the terms from the following list to complete the sentences below. Each term may be used only once. Skills Worksheet Directed Reading Section: Air Masses Use the terms from the following list to complete the sentences below. Each term may be used only once. high pressure poles low pressure equator wind

More information

Tornado Occurrences. Tornadoes. Tornado Life Cycle 4/12/17

Tornado Occurrences. Tornadoes. Tornado Life Cycle 4/12/17 Chapter 19 Tornadoes Tornado Violently rotating column of air that extends from the base of a thunderstorm to the ground Tornado Statistics Over (100, 1000, 10000) tornadoes reported in the U.S. every

More information

Thunderstorm. Thunderstorms result from the rapid upward movement of warm, moist air.

Thunderstorm. Thunderstorms result from the rapid upward movement of warm, moist air. Severe Weather Thunderstorm A thunderstorm (aka an electrical storm, a lightning storm, or a thundershower) is a type of storm characterized by the presence of lightning and its acoustic effect, thunder.

More information

NOWCASTING PRODUCTS BASED ON MTSAT-1R RAPID SCAN OBSERVATION. In response to CGMS Action 38.33

NOWCASTING PRODUCTS BASED ON MTSAT-1R RAPID SCAN OBSERVATION. In response to CGMS Action 38.33 CGMS-39, JMA-WP-08 Prepared by JMA Agenda Item: G.II/8 Discussed in WG II NOWCASTING PRODUCTS BASED ON MTSAT-1R RAPID SCAN OBSERVATION In response to CGMS Action 38.33 This document reports on JMA s MTSAT-1R

More information

An Algorithm to Nowcast Lightning Initiation and Cessation in Real-time

An Algorithm to Nowcast Lightning Initiation and Cessation in Real-time An Algorithm to Nowcast Initiation and Cessation in Real-time An Data Mining Model Valliappa 1,2 Travis Smith 1,2 1 Cooperative Institute of Mesoscale Meteorological Studies University of Oklahoma 2 Radar

More information

Global Instability Index: Product Guide

Global Instability Index: Product Guide Doc.No. Issue : : EUM/TSS/MAN/15/802106 v1c e-signed EUMETSAT Eumetsat-Allee 1, D-64295 Darmstadt, Germany Tel: +49 6151 807-7 Fax: +49 6151 807 555 Date : 2 September 2015 http://www.eumetsat.int WBS/DBS

More information

J8.6 Lightning Meteorology I: An Introductory Course on Forecasting with Lightning Data

J8.6 Lightning Meteorology I: An Introductory Course on Forecasting with Lightning Data Zajac and Weaver (2002), Preprints, Symposium on the Advanced Weather Interactive Processing System (AWIPS), Orlando, FL, Amer. Meteor. Soc. J8.6 Lightning Meteorology I: An Introductory Course on Forecasting

More information

Communicating uncertainty from short-term to seasonal forecasting

Communicating uncertainty from short-term to seasonal forecasting Communicating uncertainty from short-term to seasonal forecasting MAYBE NO YES Jay Trobec KELO-TV Sioux Falls, South Dakota USA TV weather in the US Most TV weather presenters have university degrees and

More information

Foundations of Earth Science, 6e Lutgens, Tarbuck, & Tasa

Foundations of Earth Science, 6e Lutgens, Tarbuck, & Tasa Foundations of Earth Science, 6e Lutgens, Tarbuck, & Tasa Weather Patterns and Severe Weather Foundations, 6e - Chapter 14 Stan Hatfield Southwestern Illinois College Air masses Characteristics Large body

More information

A Climatology of supercells in Romania

A Climatology of supercells in Romania A Climatology of supercells in Romania Bogdan Antonescu, Daniel Carbunaru, Monica Sasu, Sorin Burcea, and Aurora Bell National Meteorological Administration, Sos. Bucuresti-Ploiesti 97, Bucharest-013686,

More information

P3.10 EVALUATION OF A 2 HOUR REFLECTIVITY NOWCAST USING A CROSS CORRELATION TECHNIQUE COMPARED TO PERSISTENCE

P3.10 EVALUATION OF A 2 HOUR REFLECTIVITY NOWCAST USING A CROSS CORRELATION TECHNIQUE COMPARED TO PERSISTENCE P3.1 EVALUATION OF A 2 HOUR REFLECTIVITY NOWCAST USING A CROSS CORRELATION TECHNIQUE COMPARED TO PERSISTENCE Steven Vasiloff 1 1 National Severe Storms Laboratory, Norman, OK 1. INTRODUCTION A very short

More information

0-6 hour Weather Forecast Guidance at The Weather Company. Steven Honey, Joseph Koval, Cathryn Meyer, Peter Neilley The Weather Company

0-6 hour Weather Forecast Guidance at The Weather Company. Steven Honey, Joseph Koval, Cathryn Meyer, Peter Neilley The Weather Company 1 0-6 hour Weather Forecast Guidance at The Weather Company Steven Honey, Joseph Koval, Cathryn Meyer, Peter Neilley The Weather Company TWC Forecasts: Widespread Adoption 2 0-6 Hour Forecast Details 3

More information

"Experiences with use of EUMETSAT MPEF GII product for convection/storm nowcasting"

Experiences with use of EUMETSAT MPEF GII product for convection/storm nowcasting "Experiences with use of EUMETSAT MPEF GII product for convection/storm nowcasting" Marianne König 1, Monika Pajek 2, Piotr Struzik 2 1) EUMETSAT 2) Institute of Meteorology and Water Management, Kraków,

More information

baltrad Mass media Overview

baltrad Mass media Overview 48 Mass media Overview Weather information disseminated through mass media, like press, TV, and Internet is intended for its recipients, not for the media themselves. Therefore the addressees of the media

More information

COLD-RING AND COLD-U/V SHAPED STORMS

COLD-RING AND COLD-U/V SHAPED STORMS MARTIN SETVÁK setvak@chmi.cz Czech Hydrometeorological Institute, Prague COLD-RING AND COLD-U/V SHAPED STORMS Version : 18 May 2009 What are the cold-ring and cold-u/v shaped storms? Appearance and terminology

More information

Meteorology 311. RADAR Fall 2016

Meteorology 311. RADAR Fall 2016 Meteorology 311 RADAR Fall 2016 What is it? RADAR RAdio Detection And Ranging Transmits electromagnetic pulses toward target. Tranmission rate is around 100 s pulses per second (318-1304 Hz). Short silent

More information

Unit 5 Part 2 Test PPT

Unit 5 Part 2 Test PPT Unit 5 Part 2 Test PPT Standard 1: Air Masses Air Mass An air mass is an immense body of air that is characterized by similar temperatures and amounts of moisture at any given altitude When an air mass

More information

Radar Meteorology AOS 444 October 28, 2002 Laboratory 6: WATADS study of Oakfield tornado from KGRB

Radar Meteorology AOS 444 October 28, 2002 Laboratory 6: WATADS study of Oakfield tornado from KGRB Radar Meteorology AOS 444 October 28, 2002 Laboratory 6: WATADS study of Oakfield tornado from KGRB YOUR NAME: YOUR PARTNER S NAME: On July 18, 1996 the town of Oakfield, Wisconsin was all but destroyed

More information

Severe Weather Watches, Advisories & Warnings

Severe Weather Watches, Advisories & Warnings Severe Weather Watches, Advisories & Warnings Tornado Watch Issued by the Storm Prediction Center when conditions are favorable for the development of severe thunderstorms and tornadoes over a larger-scale

More information

Ingo Meirold-Mautner Yong Wang Alexander Kann Benedikt Bica Georg Pistotnik

Ingo Meirold-Mautner Yong Wang Alexander Kann Benedikt Bica Georg Pistotnik INCA-CE: The challenge of severe weather warnings Ingo Meirold-Mautner Yong Wang Alexander Kann Benedikt Bica Georg Pistotnik INCA Central Europe Integrated nowcasting for the Central European area BALTRAD

More information

METEOSAT CONVECTIVE INITIATION PRODUCT WITH AND WITHOUT CLOUD TRACKING - EXPERIENCES

METEOSAT CONVECTIVE INITIATION PRODUCT WITH AND WITHOUT CLOUD TRACKING - EXPERIENCES METEOSAT CONVECTIVE INITIATION PRODUCT WITH AND WITHOUT CLOUD TRACKING - EXPERIENCES Mária Putsay 1, Zsófia Kocsis 1, Marianne König 2, Ildikó Szenyán 1, Márta Diószeghy 1, André Simon 1 and Márk Rajnai

More information

Investigation of Supercells in China : Environmental and Storm Characteristics

Investigation of Supercells in China : Environmental and Storm Characteristics 11A.6 Investigation of Supercells in China : Environmental and Storm Characteristics Xiaoding Yu Xiuming Wang Juan Zhao Haiyan Fei ( China Meteorological Administration Training Center) Abstract Based

More information

HAZARDOUS WEATHER 1. Dr. Julie Laity Geography 266

HAZARDOUS WEATHER 1. Dr. Julie Laity Geography 266 HAZARDOUS WEATHER 1 Dr. Julie Laity Geography 266 Violent Weather Thunderstorms Atmospheric turbulence Lightning and thunder Hail Derechos Tornadoes Tornado measurement and science Tropical Cyclones Hurricanes

More information

Hailstorms evidence from smart-phone users:

Hailstorms evidence from smart-phone users: Hailstorms evidence from smart-phone users: Crowd-sourced hail size data over Switzerland Noti Pascal A. Martynov, A. Hering, and O. Martius Bern 21.04.2017 Motivation & Objectives > Is crowd-sourcing

More information

7 WSR-88D OBSERVATIONS OF AN EXTREME HAIL EVENT IMPACTING ABILENE, TX ON 12 JUNE 2014

7 WSR-88D OBSERVATIONS OF AN EXTREME HAIL EVENT IMPACTING ABILENE, TX ON 12 JUNE 2014 28TH CONFERENCE ON SEVERE LOCAL STORMS 7 WSR-88D OBSERVATIONS OF AN EXTREME HAIL EVENT IMPACTING ABILENE, TX ON 12 JUNE 2014 ARTHUR WITT * NOAA/National Severe Storms Laboratory, Norman, OK MIKE JOHNSON

More information

Summer extreme events in 2016 and winter severe condition dzud in Mongolia. JARGALAN Bayaraa, ALTANTULGA Chuluun

Summer extreme events in 2016 and winter severe condition dzud in Mongolia. JARGALAN Bayaraa, ALTANTULGA Chuluun The 4 th Session of East Asia winter Climate Outlook Forum (EASCOF-IV) 8-9 November 2016 Ulaanbaatar, Mongolia Summer extreme events in 2016 and winter severe condition dzud in Mongolia JARGALAN Bayaraa,

More information