Locations of the main updraft and downdraft

Slides:



Advertisements
Similar presentations
Precipitation development; Warm and Cold clouds >0 ° C
Advertisements

APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) RGB COMPOSITES WITH CHANNEL 12 AND THEIR INTERPRETATION.
Robert Houze University of Washington (with contributions from B. Smull) Winter MONEX Summer MONEX Presented at: International Conference on MONEX and.
16 January 2008 Convective storm with warm plumes and cold-U shape near Maputo Martin Setvák MARTIN SETVÁK MARTIN SETVÁK
Petra Mikuš DHMZ, Croatia, EUMeTrain project 1.
Current programs in Africa update Scientific Challenge: Aerosol – Cloud Interactions: Implications for precipitation and weather modification R. T Bruintjes.
UW-CIMSS/UAH MSG SEVIRI Convection Diagnostic and Nowcasting Products Wayne F. Feltz 1, Kristopher M. Bedka 1, and John R. Mecikalski 2 1 Cooperative Institute.
Scientific Objectives and Required Facilities Socorro Medina, Robert Houze, and Stacy Brodzik TIMREX Planning Meeting, Tainan, Taiwan, 9 November 2007.
AMS 28th Conf. on Hurricanes & Tropical Meteorology Orlando, Florida - 29 April 2007 Convection in the Genesis Phase of Ophelia (2005) Wen-Chau Lee*Michael.
GFS Deep and Shallow Cumulus Convection Schemes
1 04/03/02 01:30 utc IR. 2 04/03/02 02:00 utc IR.
Satellite Maps 1.What do satellite images show? 2.What can meteorologists.
Jochen Kerkmann Satellite Meteorologist, Training Officer
Folie 1 Mature Convection: DLR activities presented by Caroline Forster DLR - Institute of Atmospheric Physics, Oberpfaffenhofen, Germany Convection Working.
GOES-R Risk Reduction New Initiative: Storm Severity Index Wayne M. MacKenzie John R. Mecikalski John R. Walker University of Alabama in Huntsville.
Profilers & Surface Gauges NE Corner of Stuart Hwy & McMillans 2835-MHz Precip. Profiler: km 920-MHz Wind Profiler: km 50-MHz Wind Profiler:
IMPROVING VERY-SHORT-TERM STORM PREDICTIONS BY ASSIMILATING RADAR AND SATELLITE DATA INTO A MESOSCALE NWP MODEL Allen Zhao 1, John Cook 1, Qin Xu 2, and.
Blended Course on the Principles of Satellite Meteorology 21 st April – 15 th July 2009 Classroom June 2009 Final Presentation – Convection – 09May2009.
Supercell Rotating thunderstorm with updrafts and downdrafts structured so it can maintain itself for several hours What makes a supercell different from.
Lightning: Charge Separation Mechanisms, Detection and Applications Kaitlyn Suski May 29, 2009 SIO 209
USING OF METEOSAT SECOND GENERATION HIGH RESOLUTION VISIBLE DATA FOR THE IMPOVEMENT OF THE RAPID DEVELOPPING THUNDERSTORM PRODUCT Oleksiy Kryvobok Ukrainian.
1 National Severe Storms Laboratory & University of Oklahoma Nowcasting.
Schematic diagram of the convective system life cycle size evolution Lifetime=  (A e Initiation ) Mass flux or condensation process in the initiation.
Deep convection 2 Wilfried Jacobs DWD Meteorological Training and Conference Centre.
The Rapid Developing Thunderstorm (RDT) product CDOP to CDOP2
Image structures: rain shafts, cold pools, gusts Separate rain fall velocity from air velocity – turbulence retrieval– microphysical retrieval Diurnal.
HRV (70-100%)IR10.8 (Tb 35dBz HRV cloud (HRV,HRV,IR10.8) radar Zmax > 35dBz (CC+CG) 10-minute lightning data (CC+CG) Simultaneous.
Purpose To deepen your knowledge to use satellite images for practical nowcasting during situations of summer convection  Model monitoring  Interpretation.
Meeting the challenge of obtaining and interpreting observations of deep convection in tropical disturbances and hurricanes by Ed Zipser, Jon Zawislak,
UNDERSTANDING CONVECTIVE CLOUDS THROUGH THE EYES OF METEOSAT SECOND GENERATION (MSG) Jochen Kerkmann Satellite Meteorologist, Training Officer
Total Lightning Characteristics in Mesoscale Convective Systems Don MacGorman NOAA/NSSL & Jeff Makowski OU School of Meteorology.
Images for reflection. Que
Ordinary Cells Multicell storms Supercells
Global Distribution of Different Forms of Convection as Seen by TRMM Robert A. Houze, Jr. University of Washington with: K. L. Rasmussen, M. D. Zuluaga,
Methodology n Step 1: Identify MOG (EDR ≥ 0.25) observations at cruising altitude (≥ FL250). n Step 2: Account for ascending/descending flights by filtering.
Version 0.3, 20 January 2004 Slide: 1 APPLICATIONS OF METEOSAT SECOND GENERATION (MSG) DAY-TIME CONVECTION Author:Jochen Kerkmann (EUMETSAT)
Divergent outflow from the convective cloud system in the airmass RGB, (WV6.2-WV7.3), WV6.2, WV7.3 images Mária Putsay and André Simon.
Quick Review - Fronts. Quick Review - Clouds Using Satellite and Radar Imagery to Find Weather Features.
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
Summer 2014 Group Meeting August 14, 2014 Scott Sieron
METEOSAT SECOND GENERATION (MSG)
METEOSAT SECOND GENERATION (MSG)
METEOSAT SECOND GENERATION (MSG)
Best practices for RGB compositing of multi-spectral imagery
Severe Weather/DC Metro
Severe storm over Hungary 20 May 2008
Using satellite imagery to detect severe thunderstorms
McIDAS-V Powerful data analysis and 3-D visualization tool from SSEC
Particle size HRV (70-100%) radar Zmax > 35dBz storm RGB
ASAP Convective Weather Analysis & Nowcasting
The May 24 Shamrock cold front
Chapter 17 - Thunderstorms
Visible Satellite, Radar Precipitation, and Cloud-to-Ground Lightning
METEOSAT SECOND GENERATION (MSG)
A Real-Time Learning Technique to Predict Cloud-To-Ground Lightning
METEOSAT SECOND GENERATION (MSG)
5/31 (central track -east-west)
Rita Roberts and Jim Wilson National Center for Atmospheric Research
METEOSAT SECOND GENERATION (MSG)
Dual-Aircraft Investigation of the Inner Core of Hurricane Nobert
Convectively Induced Turbulence
APPLICATIONS OF METEOSAT SECOND GENERATION (MSG)
RAINFALL ESTIMATION USING SATELLITE DATA MONTEREY - OCTOBER 2004.
METEOSAT SECOND GENERATION (MSG)
For vectors {image} , find u + v. Select the correct answer:
Jochen Kerkmann (EUMETSAT)
APPLICATIONS OF METEOSAT SECOND GENERATION (MSG)
Contents Cold U/V Storm Tops
Simultaneous observation of above-anvil ice plume and plume-shaped BTD anomaly atop a convective storm Mária Putsay, André Simon, Martin Setvák, Ildikó.
Presentation transcript:

Locations of the main updraft and downdraft 29.06.2006. 09:25, 10:10, 11:10, 11:40UTC The locations of the overshooting tops were marked by circles on HRV images, and overlaid on IR10.8 and on a combined radar-satellite image. Simultaneous radar and satellite data were used. The radar data were interpolated to the ‘European’ satellite time (nominal time + 10 minutes) using displacement vector fields (P. Németh). Only the high radar reflectivities (Zmax> 35dBz) were overlaid on the satellite image, to see the convective precipitation. The parallax effect was not corrected.

HRV (70-100%) 09:25UTC

HRV (70-100%) 09:25UTC

IR10.8 (<240K) 09:25UTC

IR10.8 (<240K) 09:25UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 09:25UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 09:25UTC

HRV (70-100%) 10:10UTC Overshooting top Plume Gravity wave

HRV (70-100%) 10:10UTC

IR10.8 (<240K) 10:10UTC

IR10.8 (<240K) 10:10UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 10:10UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 10:10UTC

HRV (70-100%) 11:10UTC Overshooting top Radial cirrus Gravity wave

HRV (70-100%) 11:10UTC

IR10.8 (<240K) 11:10UTC

IR10.8 (<240K) 11:10UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 11:10UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 11:10UTC

HRV (70-100%) 11:40UTC

HRV (70-100%) 11:40UTC

IR10.8 (<240K) 11:40UTC

IR10.8 (<240K) 11:40UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 11:40UTC

HRV cloud (HRV,HRV,IR10.8) Radar (Zmax > 35dBz) 11:40UTC