Hazardous Weather Testbed / Storm Prediction Center 2011 Spring Experiment Chris Siewert Proving Ground Liaison OU-CIMMS / SPC.

Slides:



Advertisements
Similar presentations
Mission: Apply NASA measurement systems and unique Earth science research to improve the accuracy of short-term (0-24 hr) weather prediction at the regional.
Advertisements

Transitioning unique NASA data and research technologies to operations SPoRT Update GOES-R Proving Ground November 23, 2010.
SPoRT Products in Support of the GOES-R Proving Ground and NWS Forecast Operations Andrew Molthan NASA Short-term Prediction Research and Transition (SPoRT)
SPoRT Activities in Support of the GOES-R and JPSS Proving Grounds Andrew L. Molthan, Kevin K. Fuell, and Geoffrey T. Stano NASA Short-term Prediction.
Deirdre Kann National Weather Service WFO Albuquerque Deirdre Kann National Weather Service WFO Albuquerque 7 th GOES User’s Conference October 21, 2011.
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.
A. FY12-13 GIMPAP Project Proposal Title Page version 18 October 2011 Title: Daytime Enhancement of UWCI/CTC Algorithm For Daytime Operation In Areas of.
The GOES-R Proving Ground 2010 Spring Experiment at NOAA’s Hazardous Weather Testbed and Storm Prediction Center Christopher W. Siewert 1,2, Kristin M.
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.
NASA/SPoRT GOES-R PG update 1.Transition and Use of RGB Imagery 2.UAH CI Evaluation at WFOs 3.PG Related Presentations at NWA/GUC 4.QPE 5.Pseudo-GLM /
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.
Introduction to The Hazardous Weather Testbed Norman, Oklahoma.
GOES-R Proving Ground NOAA’s Hazardous Weather Testbed Chris Siewert GOES-R Proving Ground Liaison OU-CIMMS / Storm Prediction Center.
Travis Smith (OU/CIMMS) February 25–27, 2015 National Weather Center
Synthetic Satellite Imagery: A New Tool for GOES-R User Readiness and Cloud Forecast Visualization Dan Lindsey NOAA/NESDIS, SaTellite Applications and.
March 14, 2006Intl FFF Workshop, Costa Rica Weather Decision Technologies, Inc. Hydro-Meteorological Decision Support System Bill Conway, Vice President.
GOES-R Demonstration Product Results from the 2013 Hazardous Weather Testbed Amanda Terborg GOES-R Satellite Liaison CIMSS, University of Wisconsin-Madison.
Charleston, SC Weather Forecast Office Frank Alsheimer Science and Operations Officer NWS Charleston, SC.
Overshooting Convective Cloud Top Detection A GOES-R Future Capability Product GOES-East (-8/-12/-13) OT Detections at Full Spatial and Temporal.
The GOES-R Proving Ground Presented by Jim Gurka NOAA/NESDIS/GOES-R Program Office, Greenbelt, MD th GOES Users’ Conference Madison, WI November.
GOES-R Proving Ground Annual Meeting, May 2011, Boulder Colorado SPoRT GOES-R Proving Ground Activities GOES-R Proving Ground Annual Meeting
Poster 1.66 An Update on CIRA’s GOES-R Proving Ground Activities Ed Szoke 1,2, Renate Brummer 1, Hiro Gosden 1, Steve Miller 1, Mark DeMaria 3, Dan Lindsey.
GOES-R Proving Ground Activities at the NWS Storm Prediction Center Dr. Russell S. Schneider Chief, Science Support Branch NWS Storm Prediction Center.
GOES-R Proving Ground GOES-R Proving Ground Demonstration of Imagery Products at NOAA’s Storm Prediction Center and Hazardous Weather Testbed Chris Siewert.
GOES-R Proving Ground Storm Prediction Center and Hazardous Weather Testbed Chris Siewert 1,2, Kristin Calhoun 1,3 and Geoffrey Stano OU-CIMMS, 2.
1 CIMSS Participation in the Development of a GOES-R Proving Ground Timothy J. Schmit NOAA/NESDIS/Satellite Applications and Research Advanced Satellite.
Improving Short-term Predictions and the Identification of Hazardous Weather using NASA/SPoRT Transitioned Satellite Products Deirdre Kann Brian Guyer.
NASA SPoRT’s Pseudo Geostationary Lightning Mapper (PGLM) GOES-R Science Week Meeting September, 2011 Huntsville, Alabama Geoffrey Stano ENSCO, Inc./NASA.
GOES-R Risk Reduction Annual Meeting, September 2011, Huntsville SPoRT GOES-R Proving Ground Activities GOES-R Risk Reduction Annual Meeting 22 September.
USE AND EVALUATION OF TOTAL LIGHTNING DATA IN THE GOES-R PROVING GROUND AND EXPERIMENTAL WARNING PROGRAM Kristin Kuhlman (CIMMS/NSSL) Geoffrey Stano (NASA/SPORT)
HWT Spring Forecasting Experiment: History and Success Dr. Adam Clark February 25, 2015 National Weather Center Norman, Oklahoma.
1 CIMSS Participation GOES-R Proving Ground Status January 2011 UW-Madison Contributors to this presentation: Tim Schmit, Wayne Feltz, Jordan Gerth, Scott.
Deirdre Kann Brian Guyer National Weather Service Albuquerque Deirdre Kann Brian Guyer National Weather Service Albuquerque GOES R Satellite Proving Ground.
Hyperspectral Data Applications: Convection & Turbulence Overview: Application Research for MURI Atmospheric Boundary Layer Turbulence Convective Initiation.
Hazardous Weather Testbed (HWT) “Tales from the Testbed” Forecaster Briefing Warning Decision Training Branch (WDTB)
Greg Stumpf – CIMMS/NWS-MDLEWP2013 OverviewNOAA HWT Greg Stumpf NOAA Hazardous Weather Testbed CIMMS/NWS-MDL Norman, OK Greg Stumpf NOAA Hazardous Weather.
The NASA Short-term Prediction Research and Transition (SPoRT) Center GOES-R Proving Ground Update 9 July, 2012 Contributions from: Gary Jedlovec, Kevin.
Proving Ground Activities with Aviation Weather Center, Storm Prediction Center and NASA SPoRT GLM Science Meeting Huntsville, Alabama 20 September 2012.
GOES-R Proving Ground Activities within the Storm Prediction Center and Hazardous Weather Testbed - 1/12/15 PG All-Hands Update William Line University.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
T he Man-In-The-Loop (MITL) Nowcast Demonstration: Forecaster Input into a Thunderstorm Nowcasting System R. Roberts, T. Saxen, C. Mueller, E. Nelson,
GOES-R Recommendations from past GOES Users’ Conference: Jim Gurka Tim Schmit Tom Renkevens NOAA/ NESDIS Tony Mostek NOAA/ NWS Dick Reynolds Short and.
NOAA Hazardous Weather Test Bed (SPC, OUN, NSSL) Objectives – Advance the science of weather forecasting and prediction of severe convective weather –
AWIPS II Activities SPoRT Virtual Workshop 13 February 2014 Transitioning unique data and research technologies to operations.
Greg Stumpf – CIMMS/NWS/NSSLSpring 2009EWP Spring Experiment - Orientation 1 CIMMS / University of Oklahoma 2 NWS MDL 3 NSSL 4 NWS WFO OUN Location: National.
Transitioning research data to the operational weather community Overview of GOES-R Proving Ground Activities at the Short-term Prediction Research and.
Convective Storm Forecasting 1-6 Hours Prior to Initiation Dan Lindsey and Louie Grasso NOAA/NESDIS/STAR/RAMMB and CIRA, Fort Collins, CO John Mecikalski,
Using Simulated Satellite Imagery in NWS Experiments and Testbeds Justin Sieglaff Wayne Feltz Tim Schmit Jordan Gerth Cooperative Institute for Meteorological.
Travis Smith Hazardous Weather Forecasts & Warnings Nowcasting Applications.
Travis Smith, Jidong Gao, Kristin Calhoun, Darrel Kingfield, Chenghao Fu, David Stensrud, Greg Stumpf & a cast of dozens NSSL / CIMMS Warn-on-Forecast.
Developers: John Walker, Chris Jewett, John Mecikalski, Lori Schultz Convective Initiation (CI) GOES-R Proxy Algorithm University of Alabama in Huntsville.
Update on Satellite Proving Ground Activities at the Operations Proving Ground Chad Gravelle GOES-R/JPSS All-Hands Call – 13 July 2015.
1 New Developments in GOES-12 and GOES-R Advanced Baseline Imager Convective Initiation Detection Wayne F. Feltz*, Kristopher Bedka^, Lee Cronce*, and.
The GOES-R Proving Ground 2009 Spring Experiment Christopher W. Siewert Research Associate, SPC GOES-R Proving Ground Liaison Univ. of Oklahoma – Cooperative.
Improving Short-term Predictions and the Identification of Hazardous Weather using NASA/SPoRT Transitioned Satellite Products Deirdre Kann Brian Guyer.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
HWT Experimental Warning Program: History & Successes Darrel Kingfield (CIMMS) February 25–27, 2015 National Weather Center Norman, Oklahoma.
2012 NHC Proving Ground Products Hurricane Intensity Estimate (HIE) Chris Velden and Tim Olander 1.
GOES-R ABI AS A WARNING AID Louie Grasso, Renate Brummer, and Robert DeMaria CIRA, Fort Collins, CO Dan Lindsey, Don Hillger, NOAA/NESDIS/RAMMB, Fort Collins,
Rusty Billingsly and Brian Motta National Weather Service NOAA Satellite Science Week May 2012 Rusty Billingsly and Brian Motta National Weather Service.
Lightning Updates Several tasks underway o Continue to develop training o Coordinate data transition to 2010 Spring Program o Transition data to newest.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.
The Quantitative Precipitation Forecasting Component of the 2011 NOAA Hazardous Weather Testbed Spring Experiment David Novak 1, Faye Barthold 1,2, Mike.
Operational Use of Lightning Mapping Array Data Fifth Meeting of the Science Advisory Committee November, 2009 Geoffrey Stano, Dennis Buechler, and.
A. FY12-13 GIMPAP Project Proposal Title Page version 26 October 2011 Title: WRF Cloud and Moisture Verification with GOES Status: New GOES Utilization.
Satellite Training at the Hazardous Weather Testbed Bill Line Research Associate/Satellite Liaison University of Oklahoma/CIMMS NOAA/NWS/Storm Prediction.
Lance VandenBoogart GOES-R PG User Readiness Meeting 6/3/2014 “Tales From The Testbed”: HWT-EWP Highlights.
GOES-R Proving Ground Activities at SPoRT
Wayne Feltz. , Kaba Bah. , Kristopher Lee Cronce. , Jordan Gerth
Presentation transcript:

Hazardous Weather Testbed / Storm Prediction Center 2011 Spring Experiment Chris Siewert Proving Ground Liaison OU-CIMMS / SPC

Goals of the Experiment Demonstrate products and capabilities available on GOES-R within an operational forecast/warning environment – Severe weather (forecast and warning) – QPF – CI Build connections with non-satellite research community – Radar (dual-pol, MRMS) – NWP – LMA Discover product, display and demonstration limitations / successes and suggest improvements Define product training and display requirements

2010 Spring Experiment Overview 4-week period (17 May – 18 June) during central plains peak severe weather season 20 Visiting Scientists and 15 NWS forecasters invited by the GOES-R Proving Ground 8 Proving Ground products demonstrated – Cloud and moisture imagery – Convective initiation (3 products) – Overshooting-top / Enhanced-V detection – Total lightning detection (2 products) – Severe hail probability Real-time forecast and warning exercises using operational decision support tools (N-AWIPS/AWIPS) Weather Event Simulator (WES) cases developed and presented for training purposes of experimental products

2011 Changes New EWP morning shift – Cooperate with new EFP CI desk – Drive discussion of selecting warning domain – Participate in forecasting/monitoring CI in early afternoon Participate in new 1pm daily briefing – EWP participants discuss previous day in detail – EFP participants provide forecast guidance – Simulates national center / WFO interaction New products – SATCAST (GOES-R proxy CI product) – Nearcast – Simulated band differences

Convective Initiation UWCI / Cloud-top Cooling Rate (Sieglaff et al., 2010) – Box-averaged 0-1 hour nowcast of convective initiation and 15-minute cloud-top cooling rates – GOES-E/W and nighttime capable SATCAST (Meckalski and Bedka, 2006) – Object-based 0-1 hour nowcast of yes/no convective initiation – Utilizes IR BT cooling rates and multi- spectral information – GOES-E and daytime only

Overshooting-top / Enhanced-V Based on GOES-13 IR BT spatial testing (see Bedka et al., 2010) – Provided by UW-CIMSS Detects overshooting-top and thermal couplet features in mature cloud tops – Provides detections and relative magnitudes – Operates day/night and can operate during rapid scan

Total Lightning Detection Pseudo-GLM – Data from ground-based total lightning detection networks Huntsville, AL; Washington, DC; Melbourne, FL; and Norman, OK – Raw sources sorted into flashes and interpolated to an 8km grid – Running 2-minute average Simulated lightning threat – Based on NSSL-WRF 0Z 4km data – Estimates total lightning from vertical ice content and flux within cloud objects (see McCaul et al., 2009)

Simulated Satellite Imagery Produced from the 0Z 4km NSSL-WRF – All 9 non-solar IR bands and visible band 2 available from UW-CIMSS/CIRA – Hourly output available for hr forecast periods – Ability to simply produce unique GOES-R band differences – Demonstration focused on: Visible 3 WV channels Standard window IR Band differencing (10-12 μm)

10-12 μm Channel Difference Bands currently not available on GOES μm channel is a ‘clean’ window – Brightness temperature very sensitive to surface temperature 12.3 μm channel is sensitive to column WV – Brightness temperature cools as WV increases Difference becomes more positive as low- and mid-level WV increases

Nearcast GOES sounder PW / theta-e fields advected using a Lagrangian model – 9-hour forecast Multi-layer PW difference / gradient – mb, mb and mb Level theta-e and multi- layer theta-e difference – 500 mb and 780 mb level – mb difference

Severe Hail Probability Based on satellite IR and RUC analysis fields – Provides probability of severe hail (>1” and >2”) within grid box out to 3 hours 25 x 25 km grid boxes – Hourly forecasts update with new satellite data – Provided by CIRA

Organizations Roles and Responsibilities NOAA’s Hazardous Weather Testbed – “NOAA’s Hazardous Weather Testbed (HWT) is a facility jointly managed by the National Severe Storms Laboratory (NSSL), the Storm Prediction Center (SPC), and the NWS Oklahoma City/Norman Weather Forecast Office (OUN) within the National Weather Center… The HWT is designed to accelerate the transition of promising new meteorological insights and technologies into advances in forecasting and warning for hazardous mesoscale weather events throughout the United States.” (Steve Weiss, EFP Operations Plan) Experimental Forecast Program (SPC/HPC/NSSL) – “…predicting hazardous mesoscale weather events on time scales ranging from a few hours to a week in advance, and on spatial domains ranging from several counties to the CONUS.” (Steve Weiss, EFP Operations Plan) Experimental Warning Program (NSSL) – “…designed to test and evaluate new applications, techniques, and products to support Weather Forecast Office (WFO) severe convective weather warning operations.” (Greg Stumpf, EWP Operations Plan)

Organizations Roles and Responsibilities Products and training – UW-CIMSS Convective initiation Overshooting-tops / thermal couplet detection Simulated satellite imagery Nearcast – CIRA Simulated satellite imagery Severe hail probability – SPoRT / UAH Convective initiation NSSL-WRF Lightning threat – SPoRT / NSSL Pseudo-Geostationary Lightning Mapper Personnel and support – NSSL Experimental Warning Program Experimental Forecast Program (CI) – SPC Experimental Forecast Program (Severe) – HPC Experimental Forecast Program (QPF)

Experiment Schedule Experimental Forecast Program – May 9 - June 10, 2011 – Monday-Friday 7:30am-4pm Experimental Warning Program – May 9-27, June 6-10 (no operations Memorial Day week) – Monday-Thursday 10am-9pm – Friday 10am-1pm

Day in the life of the Experiment Experimental Forecast Program 7:30am-8:15am – Subjective verification and discussion of previous day’s forecasts 8:15am-10:30am – Morning forecasts issued 10:30am-noon – Subjective/objective verification of previous day’s model performance Noon-1pm – Lunch 1pm-1:30pm – Joint EFP/EWP daily briefing 1:30pm-3:30pm – Update forecasts 3:30pm-4pm – Daily briefing and discussion of the day’s forecasts

Day in the Life of the Experiment Experimental Warning Program Monday – 10am-2pm New participant orientation Project training seminars – 2pm-6pm WES training / informal IOP Tues-Thurs – 10am-noon Issue initial AFD – Noon-1pm Lunch – 1pm-1:30pm EFP/EWP joint briefing Tues-Thurs – 1:30pm-2:30pm EWP daily briefing – 2:30pm-4pm CI monitoring, EFP CI desk collaboration and final AFD issued – 4pm-9pm Warning IOP or training/archive feedback Friday – 10am-12pm Weekly debrief – 12pm-1pm Optional brown bag lunch seminars

Capturing Feedback Real-time blogging – During forecast/warning exercises – Participants are also encouraged to blog following forecast/warning exercises Web-based surveys – Immediately following forecast/warning operations Daily post-mortem discussions – Between visiting scientists and forecasters

Thanks for your attention!