CONVECTIVE SUPERCELLS OVER EUROPE Case study - May 26, 2009 Jakub Walawender Satellite Remote Sensing Centre Institute of Meteorology and Water Management,

Slides:

Advertisements

Similar presentations

STATUS OF SEVERE WEATHER FORECASATING IN BURUNDI. In Burundi we make very short and short range weather forecasting (from 1 to 3 days) We make use of products.

Advertisements

Precipitation Products PPS Anke Thoss, SMHI User Workshop, February 2015, Madrid.

APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) Flooding Author: Pirkko Pylkkö (Finnish Meteorological Institute) Jochen.

MONITORING EVAPOTRANSPIRATION USING REMOTELY SENSED DATA, CONSTRAINTS TO POSSIBLE APPLICATIONS IN AFRICA B Chipindu, Agricultural Meteorology Programme,

APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) RGB COMPOSITES WITH CHANNEL 12 AND THEIR INTERPRETATION.

J.N. Kagenyi Senior Meteorologist RS/GIS IMTR-NAIROBI SWFDP NOV.2012.

Version 1.0, 30 November 2004 Slide: 1 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) HURRICANES AND TROPICAL CYCLONES Author:Jochen Kerkmann (EUMETSAT)

Presenting NWCSAF products, activities by EUMeTrain Mária Putsay and Andreas Wirth Hungarian Meteorological Service ZAMG NWC SAF 2015 Users’ Workshop

A CASE STUDY OF THUNDERSTORM FORECASTING IN WEST AFRICA BY * Okoloye C. U., ** Alilonu B. N. *Nigerian Meteorological Agency (NIMET) Mallam Aminu Kano.

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

1 04/03/02 01:30 utc IR. 2 04/03/02 02:00 utc IR.

Satellite basics Estelle de Coning South African Weather Service

Version 0.2, 16 January 2004 Slide: 1 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) SQUALL LINES Author:Jochen Kerkmann (EUMETSAT)

INSTYTUT METEOROLOGII I GOSPODARKI WODNEJ INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT TITLE: IMGW and COPAL AUTHOR: Michał Ziemiański DATA:

KMA NMSC Abstract Operational COMS(Communication, Ocean and Meteorological Satellite) Cloud Detection(CLD) algorithm shows that fog and low-level clouds.

Jochen Kerkmann Satellite Meteorologist, Training Officer

Example of Fog over Northern Europe  24 Feb 2004; a winter case, fog over cold snow surface  29 May 2004; fog over sea drifting ashore Pirkko Pylkkö.

Basics Satellite Meteorology ( An Introduction to RS of MSG) Joseph Kagenyi Kenya Meteorological Department.

Slide: 1EUM/MET/VWG/09/135 5 th World Water Forum, Istanbul, Turkey, 21 March 2009 EUMETSAT Monitoring weather and climate from space Dr. Dieter Klaes,

Version 1.0, 20 April 2005 Slide: 1 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) RGB IMAGES: PART 04 RGB COMPOSITES WITH CHANNELS AND THEIR INTERPRETATION.

MSG Red-Green-Blue(RGB) combinations Estelle de Coning South African Weather Service Most slides taken from EUMETSAT training events, Jochen Kerkmann 1.

Blended Course on the Principles of Satellite Meteorology 21 st April – 15 th July 2009 Classroom June 2009 Final Presentation – Convection – 09May2009.

Version 1.0, 30 November 2004 Slide: 1 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) SQUALL LINES Author:Jochen Kerkmann (EUMETSAT)

Improvement of Short-term Severe Weather Forecasting Using high-resolution MODIS Satellite Data Study of MODIS Retrieved Total Precipitable Water (TPW)

Estimating instability indices from MODIS infrared measurements over the Korean Peninsula B. J. Sohn 1, Sung-Hee Park 1, Eui-Seok Chung 1, and Marianne.

USING OF METEOSAT SECOND GENERATION HIGH RESOLUTION VISIBLE DATA FOR THE IMPOVEMENT OF THE RAPID DEVELOPPING THUNDERSTORM PRODUCT Oleksiy Kryvobok Ukrainian.

GOES–R Applications for the Assessment of Aviation Hazards Wayne Feltz, John Mecikalski, Mike Pavolonis, Kenneth Pryor, and Bill Smith 7. FOG AND LOW CLOUDS.

Purpose To deepen your knowledge of satellite images' interpretation  Preparation for the succeeding part about summer convection.

Deep convection 2 Wilfried Jacobs DWD Meteorological Training and Conference Centre.

The Rapid Developing Thunderstorm (RDT) product CDOP to CDOP2

AMSU Product Research Cooperative Institute for Research in the Atmosphere Research Benefits to NOAA: __________________ __________________________________________.

NOAA-MDL Seminar 7 May 2008 Bob Rabin NOAA/National Severe Storms Lab Norman. OK CIMSS University of Wisconsin-Madison Challenges in Remote Sensing to.

Prolonged heavy rain episode in Lithuania on 5-8 July 2007 Izolda Marcinonienė Lithuanian Hydrometeorological Service.

Satellite based instability indices for very short range forecasting of convection Estelle de Coning South African Weather Service Contributions from Marianne.

Purpose To deepen your knowledge to use satellite images for practical nowcasting during situations of summer convection  Model monitoring  Interpretation.

R = Channel 02 (VIS0.8) G = Channel 04r (IR3.9, solar component) B = Channel 09 (IR10.8) Day Microphysics RGB devised by: D. Rosenfeld Applications: Applications:Cloud.

INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT Hydrological applications of COSMO model Andrzej Mazur Institute of Meteorology and Water Management Centre.

Clouds Ice cloud detection using the 8.7  m channel: areas of ice clouds (in particular thin cirrus) are red (positive difference), clear ground and water.

Version 1.1, 02 February 2005 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) SNOW DETECTION Author:J. Kerkmann (EUMETSAT)

First Results of Validation and Hydrological Impact Studies for EUMETSAT H-SAF Satellite Precipitation Products Bożena Łapeta 1, Jerzy Niedbała 2, Jadwiga.

Case study of a gust front passing the Danish island Funen on 9 November 2008 Majken Demant Meteorologist, aviation forecaster, DMI Eumetcal.

Slide: 1 R = Difference WV6.2 - WV7.3 G = Difference IR3.9 - IR10.8 B = Difference NIR1.6 - VIS0.6 RGB 05-06, 04-09, ("Day Convective Storms") devised.

Operational estimation of accumulated precipitation using satellite observation by Eumetsat H-SAF Attilio Di Diodato National Centre for Aeronautical Meteorology.

Matthew Lagor Remote Sensing Stability Indices and Derived Product Imagery from the GOES Sounder

High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.

COSMO model simulations for COPS IOP 8b, 15 July 2007 Jörg Trentmann, Björn Brötz, Heini Wernli Institute for Atmospheric Physics, Johannes Gutenberg-University.

INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT PANEL II: ROLE OF NMHSS IN RISK IDENTIFICATION AS A FUNDAMENTAL BASIS FOR DISASTER RISK REDUCTION AUTHOR:

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.

CIMSS Board of Directors Meeting 12 December 2003 Personnel: John Mecikalski (Principal Investigator) and Kristopher Bedka Objective: Develop methods to.

Day Convective Storm RGB Detection of Cumulonimbus Cloud

The Convective Rainfall Rate in the NWCSAF

The Job Of a Meteorologist

Dust detection methods applied to MODIS and VIIRS

Best practices for RGB compositing of multi-spectral imagery

RGB Applications for Cloud Microphysical Analysis in NinJo

Precipitation Classification and Analysis from AMSU

Current Satellites, Products, and Activities

METEOSAT SECOND GENERATION (MSG)

Using satellite imagery to detect severe thunderstorms

15 October 2004 IPWG-2, Monterey Anke Thoss

Collaborative Effort for High Quality Training

INSTITUTE OF METEOROLOGY AND WATER MANAGEMENT

Satellite Foundational Course for JPSS (SatFC-J)

RAINFALL ESTIMATION USING SATELLITE DATA MONTEREY - OCTOBER 2004.

METEOSAT SECOND GENERATION (MSG)

Jochen Kerkmann (EUMETSAT)

Contents Cold U/V Storm Tops

O.Kryvobok, V.Balabuh Ukrainian Hydrometeorological Institute

METEOSAT SECOND GENERATION (MSG)

Satellite Meteorology – MTO 506E Istanbul Technical University

Presentation transcript:

CONVECTIVE SUPERCELLS OVER EUROPE Case study - May 26, 2009 Jakub Walawender Satellite Remote Sensing Centre Institute of Meteorology and Water Management, Krakow, Poland EUMETSAT and DWD Blended Course on the Principles of Satellite Meteorology - Langen (Germany), June 2009 PROJECT PRESENTATION

Objectives Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’  Demonstration of extreme convective processes development with use of different satellite products  Assessment of satellite data usability for convective supercells monitoring and nowcasting

Introduction - synoptic situation Synoptic map, , 00UTC Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’

Infrared Image Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Ch09-IR (10.8 µm) masked, 06UTC

Instantaneous Rain Rate Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ EUMETSAT H-SAF PR-OBS-3, , 06UTC (source:

Atmosphere instability Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Lifted Index, 06UTC (source: NWC-SAF) VERY STABLE STABLE UNSTABLE VERY UNSTABLE Total Precipitable Water, 06UTC (source: NWC-SAF)

SatRep Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’

Airmass RGB Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Airmass RGB (WV6.2-WV7.3; IR9.7-IR10.8; WV6.2i), 12UTC

Day microphysics RGB Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Day microphysics RGB (VIS0.8; IR3.9r; IR10.8), 12UTC

Severe weather alerts Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ MeteoAlarm, 12UTC (source: meteoalarm.eu)

Infrared Image Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Ch09-IR (10.8 µm) masked, 16UTC

Instantaneous Rain Rate Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ EUMETSAT H-SAF PR-OBS-3, , 16UTC (source:

Overshooting tops Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ OST [Ch05-WV (6.2 µm) - Ch09-IR (10.8 µm)], 16UTC

Airmass RGB Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Airmass RGB (WV6.2-WV7.3; IR9.7-IR10.8; WV6.2i), 18UTC

Day microphysics RGB Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’ Day microphysics RGB (VIS0.8; IR3.9r; IR10.8), 18UTC

Conclusion Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’  Satellite data are very useful to observe development of convective processes in the atmosphere  Presented satellite products give possibility to: detect unstable atmospheric conditions early recognise and analyse complex processes of convection assess the potential of convection processes  Use of presented satellite products can improve operational storm prediction and monitoring

Thank you for your attention Walawender J. – ‘Convective supercells over Europe, case study - May 26, 2009’