(Adapted from Goodman & Cecil 2002)

Size: px
Start display at page:

Download "(Adapted from Goodman & Cecil 2002)"

Transcription

1 WeatherRadar and LightningObservations ofmesoscaleconvective Systems in thesouth of Brazil Cesar Beneti, Augusto Pereira Filho, Eloa Damian Lenardo Calvetti

2 Lightning Incidencein in SoutheasternSouth America (Adapted from Goodman & Cecil 2002)

3 Lightning Incidencein in SoutheasternSouth America SeazonalVariation Spring Summer Fall Winter

4 PrecipitationDistributionin in SoutheasternSouth America SeazonalVariation Spring Summer Fall Winter

5 Synoptic Influencefor for MCS Occurrencein Southeastern South America South American Low Level Jet SALLJEX (Vera et al 2006) MCC frequency during warm season( ) Durkeeet et al. (2009)

6 Southeastern Brazil More than70% ofgdp (Gross Domestic Product) Major cities: SaoPaulo, Rio de Janeiro, Curitiba (> 80million people) Power generation, Agriculture, Petrolrefineries, Industries Itaipu Power Plant 1300km IntegratedNationalPower Transmission Lines 1700km

7 Southeastern Brazil More than70% ofgdp (Gross Domestic Product) Major cities: SaoPaulo, Rio de Janeiro, Curitiba (> 80million people) Power generation, Agriculture, Petrolrefineries, Industries IntegratedNationalPower Transmission Lines Itaipu Power Plant 1700km 1300km In Parana State: -6.8% GDP - Largest Grain Production (55% Wheat, 25% Beans) - Hidropower Generation 35% Brazil 95% Paraguay (Electric Energy in Brazil is 80% Hydro-generation)

8 HydrometeorologicalSystem in Parana S-Band Doppler Weather Radar 45 automatic weather stations 1000km 47 automatic hydrological stations Satellite processing LightningSensors: LPATS, IMPACT, LS7000, LS8000 Integration with 60 AWS 50 Hydrological Automatic Stations (INMET, EPAGRI, and others)

9 Methodology Lightning Data (Jan2000- Dec2010) Brazilian Lightning DetectionNetwork Data in Parana: - Cloud-to-Ground detectionsensors - Lightning flashes (groupindividual strokes) - Peak Current Intensity(kA) - LightningFlash Polarity - Time and Location ofindividual flashes within the storms Sensor Location Flash Density Distribution Naccaratoet al. (2009)

10 Methodology Radar Data (Jan2000-Dec2010) Doppler WeatherRadar in Parana: - S-Band - 1.0deg beamwidth - Volumetricdata every 10-15minutes15minutes - Reflectivity,DopplerVelocity, Spectral Width - Quality controlled data - Interpolation2km x2km x0.5km

11 Methodology Radar Data (Jan2000-Dec2010) Doppler WeatherRadar in Parana: - Convective Stratiform partitioning usingvil (Vertically Integraded Liquid) - Ellipsis fitting - Lightingflashes identifiedin in stratiform/convective regions

12 MCS Example 04/Oct Oct/2005 ColdFront displacement through the area: - hail and strong precipitationin in Parana, - intense lightning activity, - wind gust> 15m/s, - 5 transmission towers collapsed.

13 MCS Example 04/Oct Oct/2005 GFS Analysis 05/Oct/ UTC GFS - Analysis 04/ /Oct/ UTC

14 MCS Synoptic Characteristics Isolated Convection GFS-Analysis Mean Fields MCS (organized, size>100km)

15 MCS Precipitation Regimes Clustering Algorithm(KMEANS) applied totheradar data as FAD (Frequency withaltitude Diagrams):

16 MCS Precipitation Regimes Radar CellOrganization: Isolated Convection: Cluster1 76% Cluster2 19% MCS (>100km): Cluster2 32% Cluster3 54% LLTS (>200km): Cluster2 27% Cluster3 54%

17 MCS Precipitation Regimes RADAR/FAD Diurnal Cycle LIGHTNING Diurnal Cycle Norm malized RFO Normalized dave. # Flashes TIME(UTC) TIME(UTC)

18 MCS Radar Characteristics Diurnal and Annual Cycles Isolated Convection MCS (organized, size>100km) Frequency Frequency Frequency Frequency TIME (UTC) TIME (UTC) Month Month

19 MCS Radar Characteristics MeanVertical Reflectivity Profile 30-35dBZ 35dBZ in mixed phase layer(~0c to-10c) X >40dBZ above-10c

20 MCS Radar Characteristics FAD for Isolated Convection and Leading Line, Trailing Stratiform (CDEP) MCS events: CDEP Neg Isolated Convection CDEP Pos

21 MCS Lightning Characteristics Diurnal and Annual Cycles for MCS TIME (UTC) Month LightningFlash PeakCurrent(kA) observed within the MCS clusters Peak Current (ka)

22 MCS Lightning Characteristics LightningFlash PeakCurrent(kA) observed within the MCS clusters Boxplot for lightningflashes identified in the convective and stratiform areas of the MCS. C convective region S stratiform region

23 PARANA WEATHER RADAR NETWORK EXPANSION RADAR TEIXEIRA SOARES (EAST) S-Band Doppler RADAR CASCAVEL (WEST) S-Band Dual-Pol TXS Radar (East) S-Band, Doppler, 1.0deg beam width, since Cascavel Radar (West) - S-Band Dual Polarization, 1.0deg beam width, in operation mid-2013

24 BRAZILIAN LIGHTNING DETECTION NETWORK / Parana Upgrade Upgrade of Lightning DetectionSensors ( Total Lightning sensors) BLDN Parana BLDN Parana

25

Preliminary results. Leonardo Calvetti, Rafael Toshio, Flávio Deppe and Cesar Beneti. Technological Institute SIMEPAR, Curitiba, Paraná, Brazil

Preliminary results. Leonardo Calvetti, Rafael Toshio, Flávio Deppe and Cesar Beneti. Technological Institute SIMEPAR, Curitiba, Paraná, Brazil HIGH RESOLUTION WRF SIMULATIONS FOR WIND GUST EVENTS Preliminary results Leonardo Calvetti, Rafael Toshio, Flávio Deppe and Cesar Beneti Technological Institute SIMEPAR, Curitiba, Paraná, Brazil 3 rd WMO/WWRP

More information

Understanding and forecasting extreme weather events in Andes lee side: The Relampago opportunity

Understanding and forecasting extreme weather events in Andes lee side: The Relampago opportunity Understanding and forecasting extreme weather events in Andes lee side: The Relampago opportunity Ariane Frassoni Center for Weather Forecasting and Climate Studies National Institute for Space Research

More information

Identification of Predictors for Nowcasting Heavy Rainfall In Taiwan --------------------- Part II: Storm Characteristics and Nowcasting Applications Challenges in Developing Nowcasting Applications for

More information

Operational quantitative precipitation estimation using radar, gauge g and

Operational quantitative precipitation estimation using radar, gauge g and Operational quantitative precipitation estimation using radar, gauge g and satellite for hydrometeorological applications in Southern Brazil Leonardo Calvetti¹, Cesar Beneti¹, Diogo Stringari¹, i¹ Alex

More information

8A.5 MXPOL MEASUREMENTS OF WEATHER SYSTEMS

8A.5 MXPOL MEASUREMENTS OF WEATHER SYSTEMS 8A.5 MXPOL MEASUREMENTS OF WEATHER SYSTEMS Augusto J. Pereira F o. 1*, Oswaldo Massambani 1, Ricardo Hallak 1, Cesar A. A. Beneti 2, and Rosangela B. B. Gin 3 1 USP, São Paulo; 2 SIMEPAR, Paraná; 3 UFEI,

More information

Mesoscale Convective Systems in the Western Mediterranean Rigo, T.(1), and M. Berenguer (2)

Mesoscale Convective Systems in the Western Mediterranean Rigo, T.(1), and M. Berenguer (2) Mesoscale Convective Systems in the Western Mediterranean Rigo, T.(1), and M. Berenguer (2) (1) Servei Meteorologic de Catalunya, Barcelona (2) Centre of Applied Research in Hydrometeorology, Universitat

More information

Weather: Air Patterns

Weather: Air Patterns Weather: Air Patterns Weather: Air Patterns Weather results from global patterns in the atmosphere interacting with local conditions. You have probably experienced seasonal shifts, such as winter in New

More information

EVALUATION OF SATELLITE-DERIVED HIGH RESOLUTION RAINFALL ESTIMATES OVER EASTERN SÃO PAULO AND PARANÁ,, BRAZIL

EVALUATION OF SATELLITE-DERIVED HIGH RESOLUTION RAINFALL ESTIMATES OVER EASTERN SÃO PAULO AND PARANÁ,, BRAZIL EVALUATION OF SATELLITE-DERIVED HIGH RESOLUTION RAINFALL ESTIMATES OVER EASTERN SÃO PAULO AND PARANÁ,, BRAZIL Augusto J. Pereira Filho 1 Phillip Arkin 2 Joe Turk 3 John E. Janowiak 4 Cesar Beneti 5 Leonardo

More information

4.1 THE EVOLUTION OF TOTAL LIGHTNING AND RADAR CHARACTERISTICS OF TWO MESOSCALE CONVECTIVE SYSTEMS OVER HOUSTON

4.1 THE EVOLUTION OF TOTAL LIGHTNING AND RADAR CHARACTERISTICS OF TWO MESOSCALE CONVECTIVE SYSTEMS OVER HOUSTON .1 THE EVOLUTION OF TOTAL LIGHTNING AND RADAR CHARACTERISTICS OF TWO MESOSCALE CONVECTIVE SYSTEMS OVER HOUSTON Charles L. Hodapp 1, Lawrence D. Carey *1,, Richard E. Orville 1, and Brandon L. Ely 1 1 Department

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

Life Cycle of Convective Systems over Western Colombia

Life Cycle of Convective Systems over Western Colombia Life Cycle of Convective Systems over Western Colombia Meiry Sakamoto Uiversidade de São Paulo, São Paulo, Brazil Colombia Life Cycle of Convective Systems over Western Colombia Convective System (CS)

More information

RELAMPAGO. Remote sensing of Electrification, Lightning, And Meso-scale/microscale Processes with Adaptive Ground Observations

RELAMPAGO. Remote sensing of Electrification, Lightning, And Meso-scale/microscale Processes with Adaptive Ground Observations RELAMPAGO Remote sensing of Electrification, Lightning, And Meso-scale/microscale Processes with Adaptive Ground Observations (relampago translates to lightning in Spanish and Portuguese) RELAMPAGO (a

More information

Application of a multivariate autoregressive model to generate inflow scenarios using ensemble climate forecast

Application of a multivariate autoregressive model to generate inflow scenarios using ensemble climate forecast Federal University of Rio de Janeiro Department of Civil Engineering - COPPE/ UFRJ Fluminense Federal University Department of Agriculture Engineering and Environmental Studies Application of a multivariate

More information

Mesoscale Convective Systems in the Western Mediterranean Rigo, T.(1), and M. Berenguer (2)

Mesoscale Convective Systems in the Western Mediterranean Rigo, T.(1), and M. Berenguer (2) Mesoscale Convective Systems in the Western Mediterranean Rigo, T.(1), and M. Berenguer (2) (1) Servei Meteorologic de Catalunya, Barcelona (2) Centre of Applied Research in Hydrometeorology, Universitat

More information

We suspect the answer is a little bit of both these explanations. There is likely substantial under-reporting of severe weather in regions with either

We suspect the answer is a little bit of both these explanations. There is likely substantial under-reporting of severe weather in regions with either RELAMPAGO (Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations) - Relevance to NASA GPM GV Relampago means lightning in both Spanish and

More information

Daniel J. Cecil 1 Mariana O. Felix 1 Clay B. Blankenship 2. University of Alabama - Huntsville. University Space Research Alliance

Daniel J. Cecil 1 Mariana O. Felix 1 Clay B. Blankenship 2. University of Alabama - Huntsville. University Space Research Alliance 12A.4 SEVERE STORM ENVIRONMENTS ON DIFFERENT CONTINENTS Daniel J. Cecil 1 Mariana O. Felix 1 Clay B. Blankenship 2 1 University of Alabama - Huntsville 2 University Space Research Alliance 1. INTRODUCTION

More information

Funding provided by NOAA Sectoral Applications Research Project CLIMATE. Basic Climatology Colorado Climate Center

Funding provided by NOAA Sectoral Applications Research Project CLIMATE. Basic Climatology Colorado Climate Center Funding provided by NOAA Sectoral Applications Research Project CLIMATE Basic Climatology Colorado Climate Center Remember These? Factor 1: Our Energy Source Factor 2: Revolution & Tilt Factor 3: Rotation!

More information

COUNTRY PRESENTATION ON MR JAYNAL ABEDIN JOINT SECRETARY ( WORKS & DEVELOPMENT ) MINISTRY OF DEFENCE

COUNTRY PRESENTATION ON MR JAYNAL ABEDIN JOINT SECRETARY ( WORKS & DEVELOPMENT ) MINISTRY OF DEFENCE COUNTRY PRESENTATION ON By MR JAYNAL ABEDIN JOINT SECRETARY ( WORKS & DEVELOPMENT ) MINISTRY OF DEFENCE Bangladesh Geographical Location of Bangladesh Bangladesh Country at a Glance Physical Features 1,230

More information

Severe storms over the Mediterranean Sea: A satellite and model analysis

Severe storms over the Mediterranean Sea: A satellite and model analysis National Research Council of Italy Severe storms over the Mediterranean Sea: A satellite and model analysis V. Levizzani, S. Laviola, A. Malvaldi, M. M. Miglietta, and E. Cattani 6 th International Precipitation

More information

Figure 1: Tephigram for radiosonde launched from Bath at 1100 UTC on 15 June 2005 (IOP 1). The CAPE and CIN are shaded dark and light gray,

Figure 1: Tephigram for radiosonde launched from Bath at 1100 UTC on 15 June 2005 (IOP 1). The CAPE and CIN are shaded dark and light gray, Figure 1: Tephigram for radiosonde launched from Bath at 1100 UTC on 1 June 200 (IOP 1). The CAPE and CIN are shaded dark and light gray, respectively; the thin solid line partially bounding these areas

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

Mesoscale and High Impact Weather in the South American Monsoon Leila M. V. Carvalho 1 and Maria A. F. Silva Dias 2 1

Mesoscale and High Impact Weather in the South American Monsoon Leila M. V. Carvalho 1 and Maria A. F. Silva Dias 2 1 Mesoscale and High Impact Weather in the South American Monsoon Leila M. V. Carvalho 1 and Maria A. F. Silva Dias 2 1 University of California, Santa Barbara 2 University of Sao Paulo, Brazil Objectives

More information

5.0 WHAT IS THE FUTURE ( ) WEATHER EXPECTED TO BE?

5.0 WHAT IS THE FUTURE ( ) WEATHER EXPECTED TO BE? 5.0 WHAT IS THE FUTURE (2040-2049) WEATHER EXPECTED TO BE? This chapter presents some illustrative results for one station, Pearson Airport, extracted from the hour-by-hour simulations of the future period

More information

CHAPTER 11 THUNDERSTORMS AND TORNADOES MULTIPLE CHOICE QUESTIONS

CHAPTER 11 THUNDERSTORMS AND TORNADOES MULTIPLE CHOICE QUESTIONS CHAPTER 11 THUNDERSTORMS AND TORNADOES MULTIPLE CHOICE QUESTIONS 1. A thunderstorm is considered to be a weather system. a. synoptic-scale b. micro-scale c. meso-scale 2. By convention, the mature stage

More information

Severe Weather with a strong cold front: 2-3 April 2006 By Richard H. Grumm National Weather Service Office State College, PA 16803

Severe Weather with a strong cold front: 2-3 April 2006 By Richard H. Grumm National Weather Service Office State College, PA 16803 Severe Weather with a strong cold front: 2-3 April 2006 By Richard H. Grumm National Weather Service Office State College, PA 16803 1. INTRODUCTION A strong cold front brought severe weather to much of

More information

INFLUENCE OF THE AVERAGING PERIOD IN AIR TEMPERATURE MEASUREMENT

INFLUENCE OF THE AVERAGING PERIOD IN AIR TEMPERATURE MEASUREMENT INFLUENCE OF THE AVERAGING PERIOD IN AIR TEMPERATURE MEASUREMENT Hristomir Branzov 1, Valentina Pencheva 2 1 National Institute of Meteorology and Hydrology, Sofia, Bulgaria, Hristomir.Branzov@meteo.bg

More information

Electrical thunderstorm nowcasting using lightning data mining

Electrical thunderstorm nowcasting using lightning data mining Data Mining VII: Data, Text and Web Mining and their Business Applications 161 Electrical thunderstorm nowcasting using lightning data mining C. A. M. Vasconcellos 1, C. L. Curotto 2, C. Benetti 1, F.

More information

LECTURE #15: Thunderstorms & Lightning Hazards

LECTURE #15: Thunderstorms & Lightning Hazards GEOL 0820 Ramsey Natural Disasters Spring, 2018 LECTURE #15: Thunderstorms & Lightning Hazards Date: 1 March 2018 (lecturer: Dr. Shawn Wright) I. Severe Weather Hazards focus for next few weeks o somewhat

More information

The Relationship Between Cloud And Rain Cells And The Role Of The Environment In Convective Processes During CHUVA-GoAmazon2014/5

The Relationship Between Cloud And Rain Cells And The Role Of The Environment In Convective Processes During CHUVA-GoAmazon2014/5 The Relationship Between Cloud And Rain Cells And The Role Of The Environment In Convective Processes During CHUVA-GoAmazon2014/5 Cristiano W. Eichholz 1, Courtney Schumacher 2, Luiz A. T. Machado 1 1.

More information

18th International Lightning Detection Conference 7 to 9 June 2004 Helsinki, Finland

18th International Lightning Detection Conference 7 to 9 June 2004 Helsinki, Finland ILDC 2004 18th International Lightning Detection Conference 7 to 9 June 2004 Helsinki, Finland www.vaisala.com/ildc2004 REF. NO. 40 rev. 1 APPLICATION OF A DETECTION EFFICIENCY MODEL TO CORRECT CLOUD-TO-GROUND

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

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

DRR-related mandates and relevant activities and projects of RA III

DRR-related mandates and relevant activities and projects of RA III DRR-related mandates and relevant activities and projects of RA III 2015 Meeting of the Disaster Risk Reduction Focal Points of WMO Regional Associations, Technical Commissions and Programmes (DRR FP RA-TC-TP)

More information

Observation strategies for severe rain in The Netherlands

Observation strategies for severe rain in The Netherlands Observation strategies for severe rain in The Netherlands Herman Russchenberg Delft University of Technology Challenge the future Our Earth is slowly warming The world population is moving into the cities

More information

Plan for operational nowcasting system implementation in Pulkovo airport (St. Petersburg, Russia)

Plan for operational nowcasting system implementation in Pulkovo airport (St. Petersburg, Russia) Plan for operational nowcasting system implementation in Pulkovo airport (St. Petersburg, Russia) Pulkovo airport (St. Petersburg, Russia) is one of the biggest airports in the Russian Federation (150

More information

The Climate of Payne County

The Climate of Payne County The Climate of Payne County Payne County is part of the Central Great Plains in the west, encompassing some of the best agricultural land in Oklahoma. Payne County is also part of the Crosstimbers in the

More information

Diurnal cycles of precipitation, clouds, and lightning in the tropics from 9 years of TRMM observations

Diurnal cycles of precipitation, clouds, and lightning in the tropics from 9 years of TRMM observations GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L04819, doi:10.1029/2007gl032437, 2008 Diurnal cycles of precipitation, clouds, and lightning in the tropics from 9 years of TRMM observations Chuntao Liu 1 and Edward

More information

Small- and large-current cloud-to-ground lightning over southern China

Small- and large-current cloud-to-ground lightning over southern China 2014 International Conference on Lightning Protection (ICLP), Shanghai, China Small- and large-current cloud-to-ground lightning over southern China Dong Zheng, Yijun Zhang, Qing Meng State Key Laboratory

More information

UNITED STATES AND SOUTH AMERICA OUTLOOK (FULL REPORT) Wednesday, April 18, 2018

UNITED STATES AND SOUTH AMERICA OUTLOOK (FULL REPORT) Wednesday, April 18, 2018 T-storm Weather Summary Coolness continues over the next week in much of the central U.S., most likely producing the coldest April since 1907 in the Corn Belt, but followed by seasonable to mild weather

More information

Eric Snodgrass Co-Founder and Senior Atmospheric Scientist of Agrible, Inc Director of Undergraduate Studies Department of Atmospheric Sciences

Eric Snodgrass Co-Founder and Senior Atmospheric Scientist of Agrible, Inc Director of Undergraduate Studies Department of Atmospheric Sciences Eric Snodgrass Co-Founder and Senior Atmospheric Scientist of Agrible, Inc Director of Undergraduate Studies Department of Atmospheric Sciences University Of Illinois Urbana-Champaign snodgrss@illinois.edu

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

The Climate of Marshall County

The Climate of Marshall County The Climate of Marshall County Marshall County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average

More information

UNITED STATES AND SOUTH AMERICA OUTLOOK (FULL REPORT) Thursday, December 28, 2017

UNITED STATES AND SOUTH AMERICA OUTLOOK (FULL REPORT) Thursday, December 28, 2017 T-storm Weather Summary Despite scattered t-storms Sat.-Sun. in central and northern areas in Argentina, more will likely be needed especially in sunflower areas of the southwest. Some t-storms likely

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

Tornado Signatures for Nowcasting Using Radar and Lightning Observations in Brazil

Tornado Signatures for Nowcasting Using Radar and Lightning Observations in Brazil Geophysical Research Abstracts, Vol. 7, 10221, 2005 SRef-ID: 1607-7962/gra/EGU05-A-10221 European Geosciences Union 2005 Tornado Signatures for Nowcasting Using Radar and Lightning Observations in Brazil

More information

Chapter 3 Convective Dynamics Part V ñ Bright Bands, Bow Echoes and MCCs. Bright band associated with stratiform precipitation in a squall line system

Chapter 3 Convective Dynamics Part V ñ Bright Bands, Bow Echoes and MCCs. Bright band associated with stratiform precipitation in a squall line system Chapter 3 Convective Dynamics Part V ñ Bright Bands, Bow Echoes and MCCs Photographs Todd Lindley (This part contains materials taken from UCAR MCS training module) Bright band associated with stratiform

More information

A High Elevation Climate Monitoring Network

A High Elevation Climate Monitoring Network A High Elevation Climate Monitoring Network Kelly T. Redmond Western Regional Climate Center Desert Research Institute Reno Nevada AGU San Francisco WRCC / OSU Nevada Precip-Elevation Distribution 100%

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

RELAMPAGO (working closely with CACTI) is an international project...

RELAMPAGO (working closely with CACTI) is an international project... RELAMPAGO Remote sensing of Electrification, Lightning, And Meso-scale/micro-scale Processes with Adaptive Ground Observations (translates to lightning flash in Spanish and Portuguese) June 2014 South

More information

Development of Innovative Technology to Provide Low-Cost Surface Atmospheric Observations in Data-sparse Regions

Development of Innovative Technology to Provide Low-Cost Surface Atmospheric Observations in Data-sparse Regions Development of Innovative Technology to Provide Low-Cost Surface Atmospheric Observations in Data-sparse Regions Paul Kucera and Martin Steinson University Corporation for Atmospheric Research/COMET 3D-Printed

More information

Champaign-Urbana 1998 Annual Weather Summary

Champaign-Urbana 1998 Annual Weather Summary Champaign-Urbana 1998 Annual Weather Summary ILLINOIS STATE WATER SURVEY Audrey Bryan, Weather Observer 2204 Griffith Dr. Champaign, IL 61820 wxobsrvr@sparc.sws.uiuc.edu The development of the El Nìno

More information

An Introduction to Weather Modification in West Texas

An Introduction to Weather Modification in West Texas An Introduction to Weather Modification in West Texas JONATHAN A. JENNINGS West Texas Weather Modification Association, San Angelo, TX Sonora Water Conference, 18 April 2013 Sonora, Texas What to expect:

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

Snow Microphysical Retrieval Based on Ground Radar Measurements

Snow Microphysical Retrieval Based on Ground Radar Measurements Snow Microphysical Retrieval Based on Ground Radar Measurements V. Chandrasekar Colorado State University June 27, 2007 1 Outline Role of inter comparing ground and space borne radar Class of measurements

More information

Chapter 3 Convective Dynamics 3.4. Bright Bands, Bow Echoes and Mesoscale Convective Complexes

Chapter 3 Convective Dynamics 3.4. Bright Bands, Bow Echoes and Mesoscale Convective Complexes Chapter 3 Convective Dynamics 3.4. Bright Bands, Bow Echoes and Mesoscale Convective Complexes Photographs Todd Lindley Bright band associated with stratiform precipitation in a squall line system 1 Bright

More information

P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources

P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources Kathryn K. Hughes * Meteorological Development Laboratory Office of Science and Technology National

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

Test Form: A Key Final Exam: Spring 2011

Test Form: A Key Final Exam: Spring 2011 Test Form: A Key Final Exam: Spring 2011 Instructions: Write your name (last name and first name) on your bubble sheet. Write your student identification number on the bubble sheet, and carefully and completely

More information

Localized Aviation Model Output Statistics Program (LAMP): Improvements to convective forecasts in response to user feedback

Localized Aviation Model Output Statistics Program (LAMP): Improvements to convective forecasts in response to user feedback Localized Aviation Model Output Statistics Program (LAMP): Improvements to convective forecasts in response to user feedback Judy E. Ghirardelli National Weather Service Meteorological Development Laboratory

More information

Description of the case study

Description of the case study Description of the case study During the night and early morning of the 14 th of July 011 the significant cloud layer expanding in the West of the country and slowly moving East produced precipitation

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

The Climate of Kiowa County

The Climate of Kiowa County The Climate of Kiowa County Kiowa County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 24 inches in northwestern

More information

Government of Sultanate of Oman Public Authority of Civil Aviation Directorate General of Meteorology. National Report To

Government of Sultanate of Oman Public Authority of Civil Aviation Directorate General of Meteorology. National Report To Government of Sultanate of Oman Public Authority of Civil Aviation Directorate General of Meteorology National Report To Panel on Tropical Cyclones in the Bay of Bengal And Arabian Sea 43rd Session, India

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

WEATHER. rain. thunder. The explosive sound of air as it is heated by lightning.

WEATHER. rain. thunder. The explosive sound of air as it is heated by lightning. WEATHER rain thunder The explosive sound of air as it is heated by lightning. rainbow lightning hurricane They are intense storms with swirling winds up to 150 miles per hour. tornado cold front warm front

More information

The Impact of Observational data on Numerical Weather Prediction. Hirokatsu Onoda Numerical Prediction Division, JMA

The Impact of Observational data on Numerical Weather Prediction. Hirokatsu Onoda Numerical Prediction Division, JMA The Impact of Observational data on Numerical Weather Prediction Hirokatsu Onoda Numerical Prediction Division, JMA Outline Data Analysis system of JMA in Global Spectral Model (GSM) and Meso-Scale Model

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

DEPARTMENT OF EARTH & CLIMATE SCIENCES Name SAN FRANCISCO STATE UNIVERSITY Nov 29, ERTH 360 Test #2 200 pts

DEPARTMENT OF EARTH & CLIMATE SCIENCES Name SAN FRANCISCO STATE UNIVERSITY Nov 29, ERTH 360 Test #2 200 pts DEPARTMENT OF EARTH & CLIMATE SCIENCES Name SAN FRANCISCO STATE UNIVERSITY Nov 29, 2018 ERTH 360 Test #2 200 pts Each question is worth 4 points. Indicate your BEST CHOICE for each question on the Scantron

More information

The importance of satellite data for nowcasting in the WWRP strategy

The importance of satellite data for nowcasting in the WWRP strategy The importance of satellite data for nowcasting in the WWRP strategy Estelle de Coning and Paolo Ruti World Weather Research Division Steve Goodman Chief Program Scientist, NOAA WMO definition Nowcasting

More information

Application and verification of the ECMWF products Report 2007

Application and verification of the ECMWF products Report 2007 Application and verification of the ECMWF products Report 2007 National Meteorological Administration Romania 1. Summary of major highlights The medium range forecast activity within the National Meteorological

More information

The Climate of Texas County

The Climate of Texas County The Climate of Texas County Texas County is part of the Western High Plains in the north and west and the Southwestern Tablelands in the east. The Western High Plains are characterized by abundant cropland

More information

WIND DATA REPORT FOR THE YAKUTAT JULY 2004 APRIL 2005

WIND DATA REPORT FOR THE YAKUTAT JULY 2004 APRIL 2005 WIND DATA REPORT FOR THE YAKUTAT JULY 2004 APRIL 2005 Prepared on July 12, 2005 For Bob Lynette 212 Jamestown Beach Lane Sequim WA 98382 By John Wade Wind Consultant LLC 2575 NE 32 nd Ave Portland OR 97212

More information

Precipitation. Prof. M.M.M. Najim

Precipitation. Prof. M.M.M. Najim Precipitation Prof. M.M.M. Najim Learning Outcome At the end of this section students will be able to Explain different forms of precipitation Identify different types of rain gauges Measure rainfall using

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

ANNUAL SUMMARY. Lightning Ground Flash Measurements over the Contiguous United States:

ANNUAL SUMMARY. Lightning Ground Flash Measurements over the Contiguous United States: 2693 ANNUAL SUMMARY Lightning Ground Flash Measurements over the Contiguous United States: 1995 97 RICHARD E. ORVILLE AND GARY R. HUFFINES Cooperative Institute for Applied Meteorological Studies, Department

More information

Synoptic and mesoscale analysis of waterspouts in the Adriatic ( preliminary climatology)

Synoptic and mesoscale analysis of waterspouts in the Adriatic ( preliminary climatology) Synoptic and mesoscale analysis of waterspouts in the Adriatic (2001-2011 preliminary climatology) Josipa Kuzmić 1, Tanja Renko 1, Nataša Strelec Mahović 1 1 Meteorological and Hydrological Service of

More information

Chapter 2 Weather Patterns Guided Notes Objective(s): 7.E.1.4 Predict weather conditions and patterns based on information obtained from:

Chapter 2 Weather Patterns Guided Notes Objective(s): 7.E.1.4 Predict weather conditions and patterns based on information obtained from: Chapter 2 Weather Patterns Guided Notes Objective(s): 7.E.1.4 Predict weather conditions and patterns based on information obtained from: Weather data collected from direct observations and measurement

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

The Climate of Grady County

The Climate of Grady County The Climate of Grady County Grady County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 33 inches in northern

More information

IOP-2 Summary of Operations 03 June UTC 04 June UTC Authors: Market, Kastman

IOP-2 Summary of Operations 03 June UTC 04 June UTC Authors: Market, Kastman IOP-2 Summary of Operations 03 June 2014 2200 UTC 04 June 2014 1200 UTC Authors: Market, Kastman IOP-2 focused on the slow-moving warm front that extended east from a cyclone that was situated over eastern

More information

DEPARTMENT OF EARTH & CLIMATE SCIENCES SAN FRANCISCO STATE UNIVERSITY. Metr Fall 2014 Test #1 September 30, 2014

DEPARTMENT OF EARTH & CLIMATE SCIENCES SAN FRANCISCO STATE UNIVERSITY. Metr Fall 2014 Test #1 September 30, 2014 DEPARTMENT OF EARTH & CLIMATE SCIENCES SAN FRANCISCO STATE UNIVERSITY NAME Metr 302.02 Fall 2014 Test #1 September 30, 2014 200 pts (4 pts each answer) Part I. Surface Chart Interpretation. Questions 1

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

THE SUMMER STUDENT VOLUNTEER PROGRAM AT NWS WFO BALTIMORE/WASHINGTON

THE SUMMER STUDENT VOLUNTEER PROGRAM AT NWS WFO BALTIMORE/WASHINGTON THE SUMMER STUDENT VOLUNTEER PROGRAM AT NWS WFO BALTIMORE/WASHINGTON Matthew R. Kramar, Andrew B. Woodcock, Jared R. Klein and Steven M. Zubrick NOAA/National Weather Service Weather Forecast Office Baltimore/Washington

More information

Highlights of the 2006 Water Year in Colorado

Highlights of the 2006 Water Year in Colorado Highlights of the 2006 Water Year in Colorado Nolan Doesken, State Climatologist Atmospheric Science Department Colorado State University http://ccc.atmos.colostate.edu Presented to 61 st Annual Meeting

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

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

MSC Monitoring Renewal Project. CMOS 2012 Montreal, Quebec Thursday, May 31 Martin Elie on behalf of Dave Wartman

MSC Monitoring Renewal Project. CMOS 2012 Montreal, Quebec Thursday, May 31 Martin Elie on behalf of Dave Wartman MSC Monitoring Renewal Project CMOS 2012 Montreal, Quebec Thursday, May 31 Martin Elie on behalf of Dave Wartman Presentation Overview Context Monitoring Renewal Components Conclusions Q & A Page 2 Context

More information

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC This threat overview relies on projections of future climate change in the Mekong Basin for the period 2045-2069 compared to a baseline of 1980-2005.

More information

WMO OSCAR. Observing Systems Capability Analysis and Review Tool A building block of Rolling Requirements Review

WMO OSCAR.   Observing Systems Capability Analysis and Review Tool A building block of Rolling Requirements Review WMO OSCAR Observing Systems Capability Analysis and Review Tool A building block of Rolling Requirements Review Quantitative user-defined requirements for observation of physical variables in application

More information

THUNDERSTORMS. Convective heavy rain accompanied by lightning and thunder. Ahrens

THUNDERSTORMS. Convective heavy rain accompanied by lightning and thunder. Ahrens THUNDERSTORMS Convective heavy rain accompanied by lightning and thunder Ahrens Thunderstorms About 1,800 T-storms occur around the world at any instant Where do they occur the most? National Lightning

More information

Lightning Mapping Observations of Downward Lightning Flashes To Wind Turbines

Lightning Mapping Observations of Downward Lightning Flashes To Wind Turbines Lightning Mapping Observations of Downward Lightning Flashes To Wind Turbines J. Montanyà, O. van der Velde, A.Domingo-Dalmau Department of Electrical Engineering Universitat Politècnica de Catalunya,

More information

Mesoscale Convective Systems. The COMET Program March 2002

Mesoscale Convective Systems. The COMET Program March 2002 Mesoscale Convective Systems The COMET Program March 2002 Overview! Introduction to MCSs! Squall Lines! Bow Echoes! Mesoscale Convective Complexes Introduction Definition! Mesoscale convective systems

More information

Exam 2 Results (20% toward final grade)

Exam 2 Results (20% toward final grade) Exam 2 Results (20% toward final grade) Score between 90-99: 6 students (3 grads, 3 under) Score between 80-89: 2 students Score between 70-79: 3 students Score between 60-69: 2 students Below 59: 1 student

More information

Solutions to Comprehensive Final Examination Given on Thursday, 13 December 2001

Solutions to Comprehensive Final Examination Given on Thursday, 13 December 2001 Name & Signature Dr. Droegemeier Student ID Meteorology 1004 Introduction to Meteorology Fall, 2001 Solutions to Comprehensive Final Examination Given on Thursday, 13 December 2001 BEFORE YOU BEGIN!! Please

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

The Climate of Murray County

The Climate of Murray County The Climate of Murray County Murray County is part of the Crosstimbers. This region is a transition between prairies and the mountains of southeastern Oklahoma. Average annual precipitation ranges from

More information

Robert Houze University of Washington (with contributions from B. Smull)

Robert Houze University of Washington (with contributions from B. Smull) Robert Houze University of Washington (with contributions from B. Smull) Winter MONEX Summer MONEX Presented at: International Conference on MONEX and its Legacy, 3-7 Feb 2005, New Delhi Johnson & Houze

More information

Dust storm variability over EGYPT By Fathy M ELashmawy Egyptian Meteorological Authority

Dust storm variability over EGYPT By Fathy M ELashmawy Egyptian Meteorological Authority WMO WORKSHOP ON CLIMATE MONITORING INCLUDING THE IMPLEMENTATION OF CLIMATE WATCH SYSTEMS FOR ARAB COUNTRIES IN WEST ASIA, AMMAN, JORDAN, 27-29 MAY 2013 Dust storm variability over EGYPT By Fathy M ELashmawy

More information

Status on SALLJEX related investigations: Theme IV: Additional SALLJ related topics. J. A. Marengo CPTEC/INPE

Status on SALLJEX related investigations: Theme IV: Additional SALLJ related topics. J. A. Marengo CPTEC/INPE Status on SALLJEX related investigations: Theme IV: Additional SALLJ related topics J. A. Marengo CPTEC/INPE Summary -Use of SALLJEX data and others data sources (reanalyses, rainfall data sets, remote

More information

Charles A. Doswell III, Harold E. Brooks, and Robert A. Maddox

Charles A. Doswell III, Harold E. Brooks, and Robert A. Maddox Charles A. Doswell III, Harold E. Brooks, and Robert A. Maddox Flash floods account for the greatest number of fatalities among convective storm-related events but it still remains difficult to forecast

More information