Satellite Training at the Hazardous Weather Testbed Bill Line Research Associate/Satellite Liaison University of Oklahoma/CIMMS NOAA/NWS/Storm Prediction.

Slides:

Advertisements

Similar presentations

Deirdre Kann National Weather Service WFO Albuquerque Deirdre Kann National Weather Service WFO Albuquerque 7 th GOES User’s Conference October 21, 2011.

Advertisements

The 2014 Multi-Radar/Multi-Sensor (MRMS) HWT-Hydro Testbed Experiment

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.

Update on GOES-R Proving Ground Activities at the Operations Proving Ground Chad Gravelle GOES-R/JPSS All-Hands Call – 7 July 2014.

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 /

September 12, 2011 – Conference Call GOES-R Proving Ground All Hands SPoRT Update HWT Spring Program National Centers Activity OCONUS activities PG products.

Transitioning unique NASA data and research technologies to operations Relevant OCONUS Products Gary Jedlovec NASA / MSFC, Earth Science Office

Introduction to The Hazardous Weather Testbed Norman, Oklahoma.

National and International Training Highlights Bernie Connell RAMMB.

GOES-R Proving Ground NOAA’s Hazardous Weather Testbed Chris Siewert GOES-R Proving Ground Liaison OU-CIMMS / Storm Prediction Center.

GOES-R Risk Reduction Status Dan Lindsey and Andy Heidinger Cooperative Research Program (CoRP) NOAA/NESDIS/STAR NOAA SATELLITE SCIENCE WEEK, 2015 February.

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

March 14, 2006Intl FFF Workshop, Costa Rica Weather Decision Technologies, Inc. Hydro-Meteorological Decision Support System Bill Conway, Vice President.

SPoRT’s Web Presence Fifth Meeting of the Science Advisory Committee November, 2009 Bradley ZavodskyErik Reimers Andrew MolthanPaul Meyer Geoffrey.

The GOES-R Proving Ground Presented by Jim Gurka NOAA/NESDIS/GOES-R Program Office, Greenbelt, MD th GOES Users’ Conference Madison, WI November.

The NASA Short-term Prediction Research and Transition (SPoRT) Center GOES-R Proving Ground Update 14 January, 2013 Contributions from: Kevin Fuell, Geoffrey.

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.

110/14/2015 User Education, Training & Outreach NOAA’s Changing Landscape Linking Satellite Program to Evolving Operations Anthony Mostek NOAA - NWS –

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 STAR Science Support Science Support for VISIT and SHyMet Training Mark.

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.

A. FY12-13 GIMPAP Project Proposal Title Page version 27 October 2011 Title: Probabilistic Nearcasting of Severe Convection Status: New Duration: 2 years.

Thanks also to… Tom Wrublewski, NOAA Liaison Office Steve Kirkner, GOES Program Office Scott Bachmeier, CIMSS Ed Miller, NOAA Liaison Office Eric Chipman,

User Input from past GOES Users’ Conferences Jim Gurka Steve Goodman NOAA/NESDIS GOES-R Program Office Tim Schmit NOAA/NESDIS/ STAR 7 th GOES Users’ Conference.

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)

 Jordan Gerth 1 Cooperative Institute for Meteorological Satellite Studies.

1 CIMSS Participation GOES-R Proving Ground Status January 2011 UW-Madison Contributors to this presentation: Tim Schmit, Wayne Feltz, Jordan Gerth, Scott.

Transitioning research data to the operational weather community Welcome, Logistics, and Introductions Sixth Meeting of the SPoRT Science Advisory Committee.

1 1. FY08 GOES-R3 Project Proposal Title Page  Title: Hazards Studies with GOES-R Advanced Baseline Imager (ABI)  Project Type: (a) Product Development.

Hazardous Weather Testbed (HWT) “Tales from the Testbed” Forecaster Briefing Warning Decision Training Branch (WDTB)

Update on 2011 National Hurricane Center Proving Ground Mark DeMaria, NESDIS/STAR PG All Hands Conference Call July 22,

Mission: Transition unique NASA and NOAA observations and research capabilities to the operational weather community to improve short-term weather forecasts.

Greg Stumpf – CIMMS/NWS-MDLEWP2013 OverviewNOAA HWT Greg Stumpf NOAA Hazardous Weather Testbed CIMMS/NWS-MDL Norman, OK Greg Stumpf NOAA Hazardous Weather.

HWT “Tales from the Testbed” Forecaster Briefing Warning Decision Training Branch (WDTB)

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.

The Benefit of Improved GOES Products in the NWS Forecast Offices Greg Mandt National Weather Service Director of the Office of Climate, Water, and Weather.

Evaluation of the Pseudo-GLM GLM Science Meeting Huntsville, Alabama September 2013 Geoffrey Stano – NASA SPoRT / ENSCO Inc. Kristin Calhoun – NOAA.

Lance VandenBoogart GOES-R PG All Hands Meeting 5/5/2014.

GOES-R Recommendations from past GOES Users’ Conference: Jim Gurka Tim Schmit Tom Renkevens NOAA/ NESDIS Tony Mostek NOAA/ NWS Dick Reynolds Short and.

NWS Operations Proving Ground Update Chad Gravelle OCONUS Meeting 20 June 2013.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 STAR Science Support Science Support for VISIT and SHyMet Training Mark.

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,

Summary of GOES-R Activities at CIMSS/ASPB and Recommendations for the Future Steven Ackerman, Tom Achtor GOES-R Algorithm Working Group GOES-R Algorithm.

Forecaster Training for HWT Current: Articulate (via NASA SPoRT) – Previous: intro ppt on arrival Monday Two events in Warning Event Simulator (WES) –

Training Framework for Satellite User Readiness in NOAA AMS th Conference on Satellite Meteorology & Oceanography LeRoy Spayd & Anthony Mostek.

Hydrometeorological Prediction Center Preparing for GOES-R at HPC David Novak Science and Operations Officer With contributions from Ed Danaher 2011 GOES-R.

R2O and O2R between NSSL and SPC: The benefits of Collocation Jack Kain, Steve Weiss, Mike Coniglio, Harold Brooks, Israel Jirak, and Adam Clark.

Travis Smith, Jidong Gao, Kristin Calhoun, Darrel Kingfield, Chenghao Fu, David Stensrud, Greg Stumpf & a cast of dozens NSSL / CIMMS Warn-on-Forecast.

1 Recommendations from the 2 nd GOES-R Users’ Conference: Jim Gurka Tim Schmit NOAA/ NESDIS Dick Reynolds Short and Associates.

Update on Satellite Proving Ground Activities at the Operations Proving Ground Chad Gravelle GOES-R/JPSS All-Hands Call – 20 Jan 2016.

Update on Satellite Proving Ground Activities at the Operations Proving Ground Chad Gravelle GOES-R/JPSS All-Hands Call – 13 July 2015.

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.

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,

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

1 IPET-SUP-2/Doc GOES-R Training Plan for NOAA National Weather Service Forecasters LeRoy Spayd, NOAA/National Weather Service Office of Chief Learning.

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.

JPSS Training Plan BY JOREL TORRES 1, BERNIE CONNELL 1, STEVE MILLER 1, BRIAN MOTTA 2 AND TONY MOSTEK 2 JPSS SATELLITE LIAISON 2016 OCONUS INTERCHANGE.

University of Oklahoma/CIMMS & NOAA/NWS/NCEP/SPC

Wayne Feltz. , Kaba Bah. , Kristopher Lee Cronce. , Jordan Gerth

University of Oklahoma/CIMMS & NOAA/NWS/NCEP/SPC

Presentation transcript:

Satellite Training at the Hazardous Weather Testbed Bill Line Research Associate/Satellite Liaison University of Oklahoma/CIMMS NOAA/NWS/Storm Prediction Center Kristin Calhoun, Darrel Kingfield, Tiffany Meyer (CIMMS/NSSL), Gabe Garfield (CIMMS/OUN), John Mecikalski and Chris Jewett (UAH), Justin Sieglaff, John Cintineo, and Jun Li (CIMSS), Geoffrey Stano (SPoRT), Bob Rabin, Dan Lindsey, Mike Pavolonis, Tim Schmit, and Steve Goodman (NOAA/NESDIS), Chris Barnet and Antonia Gambacorta (STC)

HWT 2016 GOES-R/JPSS Spring Experiment 4 weeks (18 April, 25 April, 2 May, 9 May) 3 NWS forecasters, 1 broadcast meteorologist per week Real-time, simulated nowcast/warning environment using AWIPS-II. Can operate anywhere in CONUS; begin prior to CI “mesoscale forecast updates” (via live blog posts) experimental severe t-storm and tornado warnings (via WarnGen). Evaluating: GOES-R and JPSS Baseline, Future Capabilities, and Experimental Products Training: 2 hours of Articulates Feedback: Daily and weekly debriefs, daily and weekly surveys, blog posts, discussions, Webinar We want forecasters to think about how they are using the experimental products in nowcast and warning decision making.

Training completed prior to experiment Articulate Training Modules (2016: ~2 hours)

2016 GOES-R/JPSS Spring Experiment Overview - Training

Individual Articulates What is being demonstrated Background information on product – Why was product developed – What data go into it – How does it work, etc. Verification statistics and strengths/weakeness Use examples and best practices

Example: ProbSevere

When forecasters arrive to HWT Orientation (~1 hour) – Schedule for week – Expectations – Quick reminder of products being evaluated – AWIPS-II walkthrough – where to find products, recommended displays, procedures – Introduction to using the blog After orientation, forecasters becoming familiar with products in AWPS-II, building procedures as they begin experimental forecast/warning operations (~ 1 hour)

The whole week is a training experience! Forecasters learn from each other: Forecasters learn from scientists and vice versa

Forecasters share research with Norman meteorology community Presenter: Chris Gitro Title: The Use of Multiple GOES Sounder Water Vapor Channels to Monitor the Evolution of Mid- level Dry Air in Convective Events Presenter: Mike Jurewicz Title: Using Layered Precipitable Water and Other Satellite Derived Datasets to Anticipate High Impact Weather Events: Severe Weather Applications Presenters: Chris Gitro and Michael Jurewicz Title: The Utility of Considering ZDR and KDP Signatures in the Tornado Warning Process. Part II: Discriminating Between Tornadic and Non-tornadic Storms in High-End Severe Weather Events

TftT webinars available online: Weekly Webinars “Tales from the Testbed” A summary of that week's experience, presented by the NWS participants. Each Friday from CDT from the NWC in Norman. The forecasters have 22 minutes to discuss their key takeaways that week. Weekly topics - To be determined Audience: WFO/CWSU peers, RHQ, NWHQ, project scientists, funding agencies. Facilitated by WDTD (similar to dual-pol Storm of the Month").

Weekly Webinars “Tales from the Testbed” TftT webinars available online:

Weekly Webinars “Tales from the Testbed” TftT webinars available online:

New Training Material Derived from HWT Activities - Blog Mesoscale forecast updates Reasoning behind warning decisions Updates to previous warnings/forecasts Best practices Ideas for improvement Any thoughts/feedback, good/bad 2016: 400+ Posts

After the Experiment Feedback received from evaluations is incorporated into operational training development

After the Experiment Participants often share HWT experience with their home office HWT Blog and TftT webinar available online for anyone to view Final report organizing results Best practices/lessons learned from HWT should help ease transition to GOES-R/JPSS May 2017, evaluations in HWT will be valuable for early/rapid gauging of forecaster understanding of real GOES-R data, and development of best practices, in a real-time hazardous weather warning environment

NUCAPS Training Experience Bill Line Dan Nietfeld

NUCAPS Training Experience 2015 NUCAPS Training for HWT 2016 NUCAPS Training for HWT – Changes/additions to training from 2015 to 2016 QC flags Method of surface modification MetOp A/B Verification Statistics Operational use examples (from HWT) 2017 NUCAPS Training? – Plan views and cross sections – Automated surface/ll modification – NUCAPS v2

HWT 2016 NUCAPS Blog Modification in RAH Drying in N OK Around a dryline Comparison with RAOB in RNK NUCAPS Plan View