The GOES-R Proving Ground Presented by Jim Gurka NOAA/NESDIS/GOES-R Program Office, Greenbelt, MD 20771 NWA Annual Meeting Nofolk, VA October, 2009.

Slides:



Advertisements
Similar presentations
Transitioning unique NASA data and research technologies to operations SPoRT Update GOES-R Proving Ground November 23, 2010.
Advertisements

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.
NWS Use of Direct Broadcast Geostationary Weather Satellite Data
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.
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.
Transitioning research data to the operational weather community Use of VIIRS DNB Data to Monitor Power Outages and Restoration for Significant Weather.
Transitioning unique NASA data and research technologies to operations Relevant OCONUS Products Gary Jedlovec NASA / MSFC, Earth Science Office
GOES-R Proving Ground NOAA’s Hazardous Weather Testbed Chris Siewert GOES-R Proving Ground Liaison OU-CIMMS / Storm Prediction Center.
Training in NOAA Satellite Proving Ground Anthony Mostek & Brian Motta NOAA/NWS/Training Division Jim Gurka and Tim Schmit NOAA/Satellite Information Service.
Science Mission Directorate National Aeronautics and Space Administration transitioning unique NASA data and research technologies The SPoRT Center – Infusing.
Transitioning unique NASA data and research technologies to operations GOES-R Proving Grounds Fifth Meeting of the Science Advisory Committee November,
GOES-R Proving Ground Product Development at CIRA Project Overview The GOES-R Satellite Proving Ground project engages the National Weather Service in.
1 GOES-R Update Greg Mandt System Program Director GOES User Conference 3 Nov 2009.
SPoRT SAC Nov 21-22, 2005 Earth-Sun System Division National Aeronautics and Space Administration The Short-term Prediction Research and Transition (SPoRT)
Charleston, SC Weather Forecast Office Frank Alsheimer Science and Operations Officer NWS Charleston, SC.
1 Important Issues for Today’s Meeting We need to develop a comprehensive Program Level Plan for the Proving Ground… we need your help! –Today’s discussions.
NWS Field Perspective of the GOES-R Proving Ground Jeff Craven, Marcia Cronce, and Steve Davis NOAA/NWS Milwaukee-Sullivan WI 7 th GOES Users’ Conference.
The GOES-R Proving Ground Presented by Jim Gurka NOAA/NESDIS/GOES-R Program Office, Greenbelt, MD th GOES Users’ Conference Madison, WI November.
Training: Connecting Developers with Users Anthony Mostek, LeRoy Spayd, John Ogren and Brian Motta NOAA/NWS/Training Division James Gurka, Tim Schmit and.
Training in NOAA Satellite Proving Ground Anthony Mostek and LeRoy Spayd NOAA/NWS/Training Division With Jim Gurka and Tim Schmit NOAA/Satellite & Information.
The GOES-R Proving Ground Presented by Jim Gurka AWG Annual Meeting Univ. of Md Conference Center July 20, 2009.
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.
Satellite Products Dissemination Brian Gockel NOAA/NWS Office of Observations June 16, Satellite Proving Ground/User-Readiness Meeting.
Kim J. Runk June 4, 2014 Satellite Proving Ground User Readiness Meeting.
GOES-R ABI PROXY DATA SET GENERATION AT CIMSS Mathew M. Gunshor, Justin Sieglaff, Erik Olson, Thomas Greenwald, Jason Otkin, and Allen Huang Cooperative.
NASA SPoRT’s Pseudo Geostationary Lightning Mapper (PGLM) GOES-R Science Week Meeting September, 2011 Huntsville, Alabama Geoffrey Stano ENSCO, Inc./NASA.
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.
AWIPS Tracking Point Meteogram Tool Ken Sperow 1,2, Mamoudou Ba 1, and Chris Darden 3 1 NOAA/NWS, Office of Science and Technology, Meteorological Development.
Recommendations from the 4th GOES-R Users’ Conference: Jim Gurka Tim Schmit Tom Renkevens NOAA/ NESDIS Tony Mostek NOAA/ NWS Dick Reynolds Short and Associates.
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.
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 Applications for the Assessment of Aviation Hazards Wayne Feltz, John Mecikalski, Mike Pavolonis, Kenneth Pryor, and Bill Smith 7. FOG AND LOW CLOUDS.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
Training in NOAA Satellite Proving Ground Anthony Mostek NOAA/NWS/Training Division With help from Jim Gurka and Tim Schmit NOAA/Satellite Information.
TOWR-G Test for Operational Weather Readiness with GOES-R Joe Zajic NWS Office of Science & Technology – Science Plans Branch Integrity Applications Incorporated.
111/27/2015 User Education & Training End-to-End Cycle for NOAA's Satellite Program Anthony Mostek NOAA - NWS – OCWWS - Training Division Anthony Mostek.
GOES-R Recommendations from past GOES Users’ Conference: Jim Gurka Tim Schmit Tom Renkevens NOAA/ NESDIS Tony Mostek NOAA/ NWS Dick Reynolds Short and.
2 October 2008 WFO Winter Workshop Talk GOES-R Proving Ground WFO Interaction Activities Presentation at Winter Workshop – Ed Szoke (CIRA & NOAA/ESRL/GSD)
GOES-R Air Quality Proving Ground H. Zhang 1, R. M. Hoff 1, S. Kondragunta 2, A. Huff 3, M. Green 4, S. A. Christopher 5, B. Pierce.
NWS Operations Proving Ground Update Chad Gravelle OCONUS Meeting 20 June 2013.
Transitioning research data to the operational weather community Overview of GOES-R Proving Ground Activities at the Short-term Prediction Research and.
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.
User Readiness Issues for GOES-R Jim Gurka Tim Schmit (NOAA/ NESDIS) Tony Mostek (NOAA/NWS) Dick Reynolds (Short and Associates) 4 th GOES Users’ Conference.
1 Recommendations from the 2 nd GOES-R Users’ Conference: Jim Gurka Tim Schmit NOAA/ NESDIS Dick Reynolds Short and Associates.
Alaska High Latitude Proving Ground GOES-R Aviation Products Experiment Volcanic Ash & SO2 - MVFR/IFR and Cloud Products NOAA Satellite Science Week Kansas.
GOES-R High Latitude Proving Ground Status November 23, 2010 Reported by Tom Heinrichs UAF-GINA With thanks to colleagues at GINA, CIMSS, STAR, and NWS.
Update on Satellite Proving Ground Activities at the Operations Proving Ground Chad Gravelle GOES-R/JPSS All-Hands Call – 13 July 2015.
Geostationary Operational Environmental Satellite R- Series GOES-R Proving Ground High Latitude and Arctic Test Bed Dr. Frank P Kelly Director Alaska Region.
What does it cover? This session addresses “Why?”, “When?”, and “What Sensors?” will be on GOES- R, and presents examples of what to expect. If is a look.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Nearcasting Severe Convection.
Alaska Region-specific Products: Satellite Data Activities and Impacts to NWS Alaska Operations GOES-R OCONUS Workshop Reported by Tom Heinrichs Dayne.
High impact weather nowcasting and short-range forecasting using advanced IR soundings Jun Li Cooperative Institute for Meteorological.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Combining GOES Observations with Other Data to Improve Severe Weather Forecasts.
Operational Use of Lightning Mapping Array Data Fifth Meeting of the Science Advisory Committee November, 2009 Geoffrey Stano, Dennis Buechler, and.
NOAA, May 2014 Coordination Group for Meteorological Satellites - CGMS NOAA Activities toward Transitioning Mature R&D Missions to an Operational Status.
1 PG-UR Annual Meeting: Welcome from the GOES-R Program Scientist Steven J. Goodman GOES-R Program Senior Scientist NOAA/NESDIS Annual NOAA Satellite Proving.
User Preparation for new Satellite generations
The GOES-R Proving Ground: 2012 Update
The GOES-R Proving Ground
GOES-R Proving Ground Activities at SPoRT
Wayne Feltz. , Kaba Bah. , Kristopher Lee Cronce. , Jordan Gerth
Presentation transcript:

The GOES-R Proving Ground Presented by Jim Gurka NOAA/NESDIS/GOES-R Program Office, Greenbelt, MD NWA Annual Meeting Nofolk, VA October, 2009

Contributors Steven Goodman and James Gurka NOAA/NESDIS/GOES-R Program Office, Greenbelt, MD Timothy Schmit NOAA/NESDIS/Center for Satellite Applications and Research, Madison, WI Mark DeMaria and Daniel Lindsey NOAA/NESDIS/Center for Satellite Applications and Research, Fort Collins, CO Wayne Feltz, Scott Bachmeier and Kris Bedka Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin, Madison, WI Steven Miller Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO Eric Bruning Cooperative Institute for Satellite Climate Studies, University of Maryland, College Park, MD Gary Jedlovec and Richard Blakeslee NASA/MSFC Short-term Prediction Research and Transition (SPoRT) Center, Huntsville, AL Russell Schneider and Chris Siewert Cooperative Institute for Mesoscale Meteorological Studies, NOAA/NWS/Storm Prediction Center, Norman, OK Robert Rabin NOAA/National Severe Storms Laboratory

Outline GOES-R Proving Ground Overview –Mission, Components, Framework –Organization, Partners Progress and Status Some Examples Summary

Proving Ground Mission Statement The GOES-R Proving Ground engages NWS in pre-operational demonstrations of selected capabilities of next generation GOES Objective is to bridge the gap between research and operations by: –Utilizing current systems (satellite, terrestrial, or model/synthetic) to emulate future GOES-R capabilities –Infusing GOES-R products and techniques into NWS operations with emphasis on AWIPS and transitioning to AWIPS-II. –Engaging in a dialogue to provide feedback to developers from users The Proving Ground accomplishes its mission through: –Sustained interaction between developers and end users for training, product evaluation, and solicitation of user feedback. –Close coordination with GOES-R Algorithm Working Group (AWG) and Risk Reduction programs as sources of demonstration products, promoting a smooth transition to operations Intended outcomes are Day-1 readiness and maximum utilization for both the developers and users of GOES-R products, and an effective transition to operations

GOES-R Proving Ground –Place where technologies and ideas are tested and proven before being fielded in operations –Evaluates how infusion of technology or process in forecast environment impacts operations –Integrates technology or process with other available tools –User readiness risk mitigation –Key component: operational testing by those independent of the development process –Key Benefit: users more accepting of fielded technology They have had a say in the design Design better fits an identified need

Key Components of Proving Ground –Ability to fully test individual components –Ability to fully test integrated components –Testing which simulates routine low-end events –Testing which simulates high-end non-routine events –Testing using archived events and simulation –Testing using live events –Test team independence –Test team membership made up of test experts, trainers, and operational users –Ability to make recommendations to the decision maker based on impacts noted in test findings

7 Rank Risk ID Risk Statement (Condition; Consequence) Approach/PlanStatus 3GP0-33GOES-R User Readiness If user or NOAA infrastructure upgrades necessary to ensure compatibility with GOES- R are not adequately identified, prioritized, developed, and funded to coincide with planned deployment schedules; Then, there is a possibility that specific users will be unable to use the data products from lack of available infrastructure or from incompatibility with data distribution to meet increased performance needs resulting in schedule delays and cost impacts; Risk Owner: Steve Goodman Mitigation 1. Interface Requirements Definition & Coordination a. Interface Requirements Docs (IRDs) (Aug. 2008) b. GOES-R User Readiness Plan Development & Approval (Sep. 2009) 2. External (to GOES-R) Orgs. (OSO, AWG, OSD) Communication & Collaboration from Design thru. Deployment 3. GOES-R Proving Grounds & User Community Training 4. User Community Outreach & Conferences 5. NOAA/User Orgs. Resources and Schedule Commitments GOES-R User Readiness Plan to consolidate and document all user interface & readiness activities and coordination. Conferences, Workshops, and other forums will continue to be used to provide user community with information and transition planning Major event being planned includes the GOES Users Conference (November, 2009) GOES-R Proving Ground concept is being initiated to allow for the research-to-operations. Focus is on forecaster/AWIPS-2 to prepare for the GOES-R information, to get real-world experience by leveraging existing resources, and to evaluate product tailoring. Initial plans in place for NOAA Hazardous Weather Test Bed (HWT) PG Spring Experiment Demonstration. CriticalityPlanned Closure 2x4Long-Term M GOES-R Program Risks: User Readiness Mitigation

As new ideas and algorithms are developed, validation, testing, and pre- operational assessments winnow the mature candidate list to the most promising algorithms that will be transitioned into operations. GOES-R Proving Ground in the R2O Framework Proving Ground pathway for user assessment and feedback

Progress and Status of Proving Ground –Kickoff Meeting held May 15-16, 2008 in Boulder, CO Over 30 participants from GPO, AWG, CIMSS, CIRA, NWS HQ, FSL, OSD, OSDPD, SPoRT, and STAR Web Site Established (cimss.ssec.wisc.edu/goes_r/proving-ground.html) –Organization telecon held June 16, Monthly telecons on-going Key message…for every product, tool or technique developed there must be a clear path to operational implementation Executive Board and Advisory Team formed NWS HQ and field fully engaged in plans and implementation Satellite “Champion” hired at OU/CIMMS to support NWS user readiness (GOES-R funded) Products tested in 2009 Hazardous Weather Testbed Spring Experiment forecast and warning assessment –15 min. cloud top cooling rate –Convective Initiation (CIMSS) –Lightning rates, density, trends (SPoRT) –Probability of hail (CIRA) –2 nd Annual Meeting May 15, 2009 at COMET in Boulder, CO –Alaska Region/High Latitude PG Meeting Aug , 2009 Fairbanks, AK

NWS Alaska Region Anchorage, Alaska NWS Alaska Region Anchorage, Alaska Cooperative Institute for Meteorological Satellite Studies Madison, Wisconsin Cooperative Institute for Meteorological Satellite Studies Madison, Wisconsin Cooperative Institute for Research in the Atmosphere Fort Collins, Colorado Cooperative Institute for Research in the Atmosphere Fort Collins, Colorado NCEP Storm Prediction Center; Norman, OK WFO; National Severe Storms Laboratory; University of Oklahoma; Cooperative Institute for Mesoscale Meteorological Studies Norman, Oklahoma Hazardous Weather Testbed- Experimental Forecast and Warning Programs NCEP Storm Prediction Center; Norman, OK WFO; National Severe Storms Laboratory; University of Oklahoma; Cooperative Institute for Mesoscale Meteorological Studies Norman, Oklahoma Hazardous Weather Testbed- Experimental Forecast and Warning Programs NCEP Tropical Prediction Center Joint Hurricane Testbed Miami, Florida (Planned for FY2010) NCEP Tropical Prediction Center Joint Hurricane Testbed Miami, Florida (Planned for FY2010) Green Bay, WI WFO Sullivan, WI WFO La Crosse, WI WFO Huntsville, AL WFO University of Alabama Huntsville NASA Short-term Prediction Research and Transition Center Huntsville, AL Huntsville, AL WFO University of Alabama Huntsville NASA Short-term Prediction Research and Transition Center Huntsville, AL Melbourne, FL WFO NASA Kennedy Space Center Melbourne, FL WFO NASA Kennedy Space Center Sterling, VA WFO Boulder, CO WFO Cheyenne, WY WFO Eureka, CA WFO NWS Central Region Kansas City, MO NWS Central Region Kansas City, MO Cooperative Remote Sensing Science and Technology Center New York, NY Cooperative Remote Sensing Science and Technology Center New York, NY NCEP: National Centers for Environmental Prediction NWS: National Weather Service WFO: Weather Forecast Office NWS Headquarters; Cooperative Institute for Satellite Climate Studies; Center for Satellite Applications and Research; Office of Satellite Data Processing and Distribution; GOES-R Program Office; University of Maryland Baltimore County Maryland NWS Headquarters; Cooperative Institute for Satellite Climate Studies; Center for Satellite Applications and Research; Office of Satellite Data Processing and Distribution; GOES-R Program Office; University of Maryland Baltimore County Maryland GOES-R Proving Ground Partners NWS Pacific Region Honolulu, Hawaii NWS Pacific Region Honolulu, Hawaii

“ABI” Proxy Data from Current SatellitesAerosolsVegetation Cirrus Clouds Snow, Cloud phase Particle size Water Vapor WV, Upper- level SO2 Vol. Ash, Cloud phase Total Ozone Low-level Moisture Surface features, clouds Heritage, clouds, etc Fog, Fires, clouds, etc Water Vapor Clouds Heritage, clouds, etc

AREA FORECAST DISCUSSION NATIONAL WEATHER SERVICE MILWAUKEE/SULLIVAN WI 159 PM CDT SUN AUG EVEN WITH THE WEST SURFACE WINDS 1622Z MODIS SHOWS WARM UPPER 60 DEGREE LAKE MICHIGAN TEMPS NEAR SHORE...WITH NO COOLER UPWELLING SEEN. WOULD HAVE THOUGHT TEMPS WOULD HAVE BEEN COOLER...BUT WINDS ARE WEAK.

Examples of Proving Ground Products False-color RGB image along with 3 other volcanic retrieval products: Ash loading, Ash height, and Ash effective radius. (produced by Mike Pavolonis, CIMSS/ASPB) Mt. Redoubt has had more than 20 major eruptions since Sunday morning March 22, The eruptions have created a continuous major ash plume that has disrupted aviation across the State of Alaska. Rapid scan products of GOES imagery provided new insight on the eruptive activity of the mountain. NWS forecasters were able to use this insight to provide better information for warnings and advisories issued to the public and aviation communities.

Animation of sample ABI visible and near-IR bands in AWIPS; CIMSS/ ASPB is developing a WES case for AWIPS

0.64  m0.86  m1.38  m 1.61  m2.26  m3.9  m6.19  m 6.95  m7.34  m 0.47  m 8.5  m9.61  m  m11.2  m12.3  m13.3  m AWG Proxy ABI Simulations of Hurricane Katrina NOAA/NESDIS STAR and GOES-R Imagery Team

GLM Proxy Data DC Regional Storms November 16, 2006 Resampled 5-min source density at 1 km and 10 km LMA 1 km resolution GLM 10 km resolution

Cell S1 DC LMA total lightning SCAN Cell Table Red > 6 Yellow: 2-6 Red > 60 Red > 6 Yellow: 2-6 White : 1-2 Gray < 1 GLM Lightning Jump Algorithm: Experimental Trending Implementation in AWIPS/SCAN (July 04, 2007 at 21:36Z) Courtesy Momoudou Ba

Convective Initiation (CI) Trend No echo around time of first CI indication CI TREND: at 1945 UTC 1854 UTC 1926 UTC1955 UTC

Lessons Learned at SPC Convective Initiation (CI)/Cloud Top Cooling (CTC) –CTC is valuable product in itself –Diagnostic tool rather than prognostic over SE warm sector environments –Masked where thick cirrus present –Thin cirrus over land/water/water clouds and expanding edge false alarms –Avg. lead time ~15 minutes over radar (for successful nowcasts) –Full disk 30 min. scan limitations (false alarms/missed nowcasts) –Cloud detection limitations due to poor spatial/spectral resolution –Instantaneous fields more useful to forecasters than accumulated fields –Overlay on visible/IR essential to forecasters –Continue CTC after CI occurs (storm severity) interest from forecasters –Effective for terrain/dryline convection –CI misses some CTC signals –Works well in rapid scan operations

Summary Program Plan under development Phase I spin-up at CIMSS, CIRA (2008) Phase II added SPoRT, AQ, Alaska, Pacific –HWT IOP with VORTEX-2 (2009) Need real time and archived events (AWIPS2, WES) PG is the ultimate tool for user interaction Must maintain focus on clear path to operations Ensuring pathway into operations by developing GOES-R proxy products for the AWIPS2 environment Existing and Planned collaborations with NOAA Testbeds- HWT, JHT, DTC, HMT

Geostationary Operational Environmental Satellites: Special Event on 2 November: 50th Anniversary of the 1st Meteorological Satellite Experiment 3-5 November 2009 Monona Terrace Convention Center Madison, Wisconsin