Overshooting Convective Cloud Top Detection A GOES-R Future Capability Product 1995-2011 GOES-East (-8/-12/-13) OT Detections at Full Spatial and Temporal.

Slides:



Advertisements
Similar presentations
SPoRT Products in Support of the GOES-R Proving Ground and NWS Forecast Operations Andrew Molthan NASA Short-term Prediction Research and Transition (SPoRT)
Advertisements

Future Radar and Satellite Technology Daniel C. Miller National Weather Service Columbia, SC.
Travis Smith NSSL / OU / CIMMS The Hazardous Weather Testbed / Experimental Warning Program.
Transitioning unique NASA data and research technologies to operations GOES-R Proving Ground Activities at the NASA Short-term Prediction Research and.
Petra Mikuš DHMZ, Croatia, EUMeTrain project 1.
Convective Initiation Studies at UW-CIMSS K. Bedka (SSAI/NASA LaRC), W. Feltz (UW-CIMSS), J. Sieglaff (UW-CIMSS), L. Cronce (UW-CIMSS) Objectives Develop.
Using McIDAS-V for Satellite-Based Thunderstorm Research and Product Development Kristopher Bedka UW-Madison, SSEC/CIMSS In Collaboration With: Tom Rink,
1 GOES Users’ Conference October 1, 2002 GOES Users’ Conference October 1, 2002 John (Jack) J. Kelly, Jr. National Weather Service Infusion of Satellite.
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.
Satellite Use in the NWS Eastern Region Frank Alsheimer and Jon Jelsema NOAA/National Weather Service Charleston, SC Dave Radell NOAA/National Weather.
Inter-comparison of Lightning Trends from Ground-based Networks during Severe Weather: Applications toward GLM Lawrence D. Carey 1*, Chris J. Schultz 1,
Hazardous Weather Testbed / Storm Prediction Center 2011 Spring Experiment Chris Siewert Proving Ground Liaison OU-CIMMS / SPC.
Chapter 13 – Weather Analysis and Forecasting. The National Weather Service The National Weather Service (NWS) is responsible for forecasts several times.
Profiling Clouds with Satellite Imager Data and Potential Applications William L. Smith Jr. 1, Douglas A. Spangenberg 2, Cecilia Fleeger 2, Patrick Minnis.
Transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee November,
Weather Satellite Data in FAA Operations Randy Bass Aviation Weather Research Program Aviation Weather Division NextGen Organization Federal Aviation Administration.
On the relationship of in-cloud convective turbulence and total lightning Wiebke Deierling, John Williams, Sarah Al-Momar, Bob Sharman, Matthias Steiner.
Satellite Remote Sensing of Aviation Hazards Gary P. Ellrod, CCM* NOAA/NESDIS-retired Granby, CT Aviation Weather Users Workshop, Nov 18-19, 2008 Islip/Macarthur.
Evidence of Strong Updrafts in Tropical Cyclones using Combined Satellite, Lightning, and High-Altitude Aircraft Observations Christopher S. Velden*, Sarah.
Warn on Forecast Briefing September 2014 Warn on Forecast Brief for NCEP planning NSSL and GSD September 2014.
UNCLASSIFIED Navy Applications of GOES-R Richard Crout, PhD Naval Meteorology and Oceanography Command Satellite Programs Presented to 3rd GOES-R Conference.
Wayne Faas Chief, NOAA National Climatic Data Center Data Operations Division December 3, 2003.
GOES-R Risk Reduction New Initiative: Storm Severity Index Wayne M. MacKenzie John R. Mecikalski John R. Walker University of Alabama in Huntsville.
GOES-R for the Americas Luiz A. T. Machado INPE-CPTEC
Aviation-Lightning Introduction Since there are few surface-based radar and/or other meteorological observations covering most of the oceans, convective.
Christopher J. Schultz 1, Walter A. Petersen 2, Lawrence D. Carey 3* 1 - Department of Atmospheric Science, UAHuntsville, Huntsville, AL 2 – NASA Marshall.
1 CIMSS Participation GOES-R Proving Ground Status January 2011 UW-Madison Contributors to this presentation: Tim Schmit, Wayne Feltz, Jordan Gerth, Scott.
Ray Moy December 01, 2010 Federal Aviation Administration Research, Requirements and Transition.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
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.
Long-Term High-Temporal and Spatial Resolution Overshooting Storm Climatologies Using Geostationary Imagery INTRODUCTION AND BACKGROUND VALIDATION PROBABILISTIC.
Bryan Jackson General Forecaster WFO LWX. Introduction Utilizing Total Lightning data from the DC- Lightning Mapping Array (DC-LMA) to create a preview.
MDL Lightning-Based Products Kathryn Hughes NOAA/NWS/OST December 3, 2003
 Rapidly developing convection is a known source of CIT  Satellite derived cloud top infrared (IR) cooling rate, overshooting tops (OT)/enhanced-V and.
Using Spatiotemporal Relational Random Forests to Predict Convectively Induced Turbulence Also know as: U.S.R.R.F.P.C.I.T or Purscrift Dr. Amy McGovern.
Jon Trueblood (Dordt College) Timothy Sliwinski (FSU) Dr. Amy McGovern David John Gagne (OU) Dr. John Williams Dr. Jennifer Abernethy (NCAR) Image Courtesy:
Applications Of A Satellite-Based Objective Overshooting Convective Cloud Top Detection Product Kristopher Bedka 1, C. Wang 1, P. Minnis 2, R. Dworak 3,
GOES-R: Bringing Critical New Capability to Automated Aviation Weather Products Paul H. Herzegh National Center for Atmospheric Research With acknowledgements.
Geoffrey Stano – ENSCO / SPoRT David Hotz and Anthony Cavalluci– WFO Morristown, TN Tony Reavley – Director of Emergency Services & Homeland Security of.
High impact weather studies with advanced IR sounder data Jun Li Cooperative Institute for Meteorological Satellite Studies (CIMSS),
Transitioning research data to the operational weather community Overview of GOES-R Proving Ground Activities at the Short-term Prediction Research and.
Forecaster Training for HWT Current: Articulate (via NASA SPoRT) – Previous: intro ppt on arrival Monday Two events in Warning Event Simulator (WES) –
Greg Mandt GOES-R System Program Director 2011 OCONUS MEETING July 26, 2011.
Studies of Advanced Baseline Sounder (ABS) for Future GOES Jun Li + Timothy J. Allen Huang+ W. +CIMSS, UW-Madison.
Jidong Gao, Kristin Kuhlman, Travis Smith, David Stensrud 3DVAR Storm-scale assimilation in real- time.
Travis Smith Hazardous Weather Forecasts & Warnings Nowcasting Applications.
Operational Uses for an Objective Overshooting Top Algorithm Sarah A. Monette* #, Wayne Feltz*, Chris Velden*, and Kristopher Bedka^ Cooperative Institute.
Objective Overshooting Cloud Top and Enhanced-V Signature Detection Products Algorithm Description, Validation, and Applications Kristopher Bedka 1, Jason.
GOES-R GLM Lightning-Aviation Applications GOES-R GLM instrument will provide unique total lightning data products on the location and intensity of thunderstorms.
1 Recommendations from the 2 nd GOES-R Users’ Conference: Jim Gurka Tim Schmit NOAA/ NESDIS Dick Reynolds Short and Associates.
Satellite Indicators of Severe Weather. What Are The Relevant Scientific Questions And Objectives Related To This Topic? Preliminary considerations: Focus.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
Methodology n Step 1: Identify MOG (EDR ≥ 0.25) observations at cruising altitude (≥ FL250). n Step 2: Account for ascending/descending flights by filtering.
2012 NHC Proving Ground Products Hurricane Intensity Estimate (HIE) Chris Velden and Tim Olander 1.
4 th Workshop on Hyperspectral Science of UW-Madison MURI, GIFTS, and GOES-R Hyperspectral Applications for Aviation Advanced Satellite Aviation-weather.
Rusty Billingsly and Brian Motta National Weather Service NOAA Satellite Science Week May 2012 Rusty Billingsly and Brian Motta National Weather Service.
2004 Developments in Aviation Forecast Guidance from the RUC Stan Benjamin Steve Weygandt NOAA / Forecast Systems Lab NY Courtesy:
Operational Use of Lightning Mapping Array Data Fifth Meeting of the Science Advisory Committee November, 2009 Geoffrey Stano, Dennis Buechler, and.
Case Study: March 1, 2007 The WxIDS approach to predicting areas of high probability for severe weather incorporates various meteorological variables (e.g.
CIMSS Board of Directors Meeting 12 December 2003 Personnel: John Mecikalski (Principal Investigator) and Kristopher Bedka Objective: Develop methods to.
Australian VLab Centre of Excellence National Himawari-8 Training Campaign Forecaster use of Rapid Scan Data: Part A.
Severe Weather/DC Metro
Center for Analysis and Prediction of Storms (CAPS) Briefing by Ming Xue, Director CAPS is one of the 1st NSF Science and Technology Centers established.
GOES-R Risk Reduction Research on Satellite-Derived Overshooting Tops
ASAP Convective Weather Analysis & Nowcasting
Geostationary Sounders
Objective Overshooting Top and Cold V Detection
Turbulence-Related Products Robert Sharman NCAR/RAP
Wayne Feltz. , Kaba Bah. , Kristopher Lee Cronce. , Jordan Gerth
Generation of Cloud Products from NOAA’s Operational Satellite Imagers
Presentation transcript:

Overshooting Convective Cloud Top Detection A GOES-R Future Capability Product GOES-East (-8/-12/-13) OT Detections at Full Spatial and Temporal Resolution, 0.25 Degree Resolution Grid Animation Normalized By The Number of Scans In Each Two-Hour Period Kristopher Bedka NASA LaRC): in collaboration with UW-CIMSS and NASA A method to objectively detect overshooting convective cloud tops (OTs) and the enhanced-V signature has been developed in support of the GOES-R Aviation Algorithm Working Group Publications have shown good correlation between OT detections, severe weather reports, objective in-situ aviation turbulence, LMA total lightning observations, and a long-term climatology of cloud-to-ground lightning The OT detection product has been evaluated within the NOAA Hazardous Weather and Aviation Weather Testbeds and the 2012 European Severe Storms Laboratory Testbed Testbed evaluations indicate that the product is consistent in accurate detection of OT signatures, but detection capability is impacted the relatively coarse spatial and temporal resolution of current GOES. Analysis shows that detection rate may increase ten-fold when the algorithm is applied to 2 km and 5 min ABI data Evaluations also suggest that the product can provide valuable situational situational awareness over data-rich regions and could be used to pinpoint hazardous areas within thunderstorms over data-poor land and ocean regions

Overshooting Convective Cloud Top Detection A Severe Weather Situational Awareness and Decision Aid Severe Storm Reports +/- 15 mins From Image Severe weather is occurring near active updraft regions that can be objectively detected via IR spatial gradients and temperature thresholding combined with NWP tropopause information Severe Weather Type # Severe ReportsOT Match % Tornado4, % Severe Wind52, % Large Hail56, % Any Type113, % Frequency of Overshooting Top Detection Near Confirmed Severe Weather Events: April-September HOURS OF OT DETECTIONS VS. SEVERE WEATHER REPORTS: Joplin, MO Tornado Event Satellite-Based Overshooting Top Detections Often Precede NWS Severe Weather Warnings By 20 Mins, Providing Valuable Situational Awareness Of A Hazardous Thunderstorm (Dworak et al. WAF, 2012)

Frequency of Any Turbulence Intensity At Varying Radius From GOES Overshooting Top Detections United Airlines Boeing 757s: Over CONUS Overshooting Convective Cloud Top Detection AWC Testbed Evaluation and Aviation Turbulence Relationships SEVERE TURBULENCE 10 TIMES MORE LIKELY WHEN AIRCRAFT FLY WITHIN 5 KM OF AN OT DETECTION VS. SPATIALLY UNIFORM CLOUD TOP (Bedka et al., JAMC 2010) Turbulence reported within 10 km of OT detection