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Paula Davidson, Ph.D. Chief Scientist Office of Science & Technology

NOAA Testbeds and Proving Grounds: Fostering Transitions between Research and Applications/Operations. Paula Davidson, Ph.D. Chief Scientist Office of Science & Technology NOAA/National Weather Service Co-chair, NOAA Testbeds & Proving Grounds Coordinating Committee. Background.

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Paula Davidson, Ph.D. Chief Scientist Office of Science & Technology

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  1. NOAA Testbeds and Proving Grounds:Fostering Transitions between Research and Applications/Operations Paula Davidson, Ph.D. Chief Scientist Office of Science & Technology NOAA/National Weather Service Co-chair, NOAA Testbeds & Proving Grounds Coordinating Committee

  2. Background NOAA operates a number of testbeds (TB) and operations and services proving grounds (PG), but lacked a systematic approach for their function, mode of operation, and reporting results March 2011- NOAA Line Office Transition Managers approved guidelines and chartered a Coordinating Committee for Testbeds & Proving Grounds (TB/PG) Guidelines: Roles and responsibilities of TB/PG Function and execution Governance Coordination: Increasing R&D leveraging, collaboration for R2O Increasing reliance on TB/PG for advancing R2O/A/U NOAA re-chartered COMT (2013) CSTAR FFO links results to testing in OPG; use of NWS Virtual Laboratory (FY14) Planning for Next Generation Global Prediction System Brief working definitions of TB/PG: TB-- for developmental testing PG-- for pre-deployment (experimental) testing of advanced operations, services and science and technology capabilities R&D

  3. Current NOAA TB/PG NOAA Testbed and Proving Ground Portal AWT CTB COMT DTC GRPG HWT HMT JCSDA JHT OPG SWPT http://www.testbeds.noaa.gov (thanks to : Rich Lataitis & Barb deLuisi)

  4. Framework for Transition:Phased Implementation into NWS Operations TB PG

  5. Coordinating Committee Comprised of TB/PG managers and LOTM-designated LO focal points: Co-chairs: Paula Davidson (NWS LO focal point) Mike Uhart (OAR LO focal point) Initial meeting (NWS and OAR members): Seattle AMS, Jan 2011 Featured Activities: Monthly virtual meetings featuring TB/PG recent tests/results Coordination/Outreach: revamped TB/PG coordination website www.testbeds.noaa.gov, coordinated SEE inputs, tutorials on guidelines, testing protocols , coordinated AOs Organize annual science-themed TB/PG workshops Adopted recommended approach to metrics for recognizing progress, Fall 2012: Relevance, quality, and effectiveness/efficiency Accomplishments and performance metrics provided in annual TBPG progress reports Summary publication (Ralph, Intrieri, et al.): The emergence of weather-focused testbeds linking research and forecasting operations. BAMS, 94, 1187-1210, 2013

  6. Annual Workshops Highlight/promote integrated testing opportunities in NOAA TB/PG Overviews from current/emerging TB/PG Integrating Science Themes: 3rd Annual TBPG Workshop: Intense Precipitation Events (2012) 4rd Annual TBPG Workshop: High-impact Environmental Events (2013) 5th Annual TBPG Workshop: Advances in Environmental Prediction (2014) Best paper (Science-theme) competition Awarded to Faye Barthold (WPC, 2012); Tom Workoff (WPC, 2013); Chad Gravelle (OPG, 2014) Criteria - excellence, relevance, presentation

  7. FY 2014 Activities TBPG Workshop: College Park, MD, April 16-18 Science Theme: Advances in Environmental Prediction Best Paper: Chad Gravelle, “Transitioning the GOES-R Fog and Low Stratus Products from Research To Operations Through the NWS Operations Proving Ground” Closer connection with CSTAR , MDL’s Virtual Laboratory and pilot activities: advanced testing Increasing coordination, external engagement Combined Special Testing Opportunities In-residence and virtual testing Consolidation on Website: Announcements of Opportunity

  8. Thank You! Contact Information: Paula Davidson – Paula.Davidson@noaa.gov

  9. Backup

  10. FY13 Highlights: COMT • COMT results featured in a special issue of JGR-Oceans:

  11. FY13 Highlights: DTC Hurricane-WRF (HWRF) testing for operational implementation at NCEP • HWRF provides guidance to the National Hurricane Center for the North Atlantic and Eastern North Pacific basins • Upgraded HWRF increased skill in forecasts of hurricane intensity • Regional model 27/9/3 km • HWRF has 8 components, many used in other applications • Developmental Testbed Center roles: • Support code to community • Code management • Testing and evaluation (R2O) Operational forecasts http://www.emc.ncep.noaa.gov/gc_wmb/vxt/ g

  12. FY13 Highlights: GOES-R PG • NWS Central Region Fog & Low Stratus Evaluation, Aug-Dec 2012 • Products demonstrated successfully – scheduled for delivery via NWS operational systems • High latitude & Arctic testing • snow/fog, low stratus/volcanic ash, aviation applications • GOES-R Algorithm Development & Testing • Simulated satellite imagery: lightning mappers, nearcasting data, convective initiation, cloud-top cooling • Partnerships • NWS: NCEP/AWT, HWT, WPC, OPC, Regions; NESDIS : SAB; CIRA, CIMSS, NASA/SPoRT, DoD, private sector… GOES-R Algorithm Applied to GOES Heritage GOES Fog Detection GOES-R Algorithm Applied to GOES-R courtesy Mike Pavalonis, NESDIS/STAR

  13. FY13 Highlights: HMT Flash Flood and Intense Rainfall Experiment (July 8-26, 2013) • 26 forecasters, researchers and model developers from WPC, NSSL, ESRL and HMT collected to examine alternatives for short term QPF and flood prediction • Several operational and research models tested 12-hr mean QPF valid 2013 07/18 0Z QPE NAM- X Nest HRRR HRW ARW NAM Nest NSSL WRF Operational forecasts http://www.emc.ncep.noaa.gov/gc_wmb/vxt/

  14. FY13 Highlights: HWT Experimental Warning Testing** • LAPS Space and Time Multiscale Analysis System (STMAS) • Forecast return moisture and instability very useful for determining if storms will change intensity in 0-2 hours • WDSSII Multiple-Radar/Multiple Sensor (MRMS) applications • 2-minute updates of MRMS products helps keep situational awareness high • Greater efficiency in storm diagnosis • Aided in positioning of storm-based warning polygons • Hail Size Discrimination Algorithm (HSDA) • Very beneficial in breaking down areas of severe vs. non-severe hail • Spatial extent of giant hail tended to be too large at times • GOES-R Algorithm Development and Testing • Simulated satellite imagery: lightning mappers, nearcasting data, convective initiation, cloud-top cooling ** additional highlights from experimental forecast testing not shown

  15. FY 13 Highlights: JCSDA Improved prediction of snow depth by NOAH/GFS • U of Arizona effort, funded by NOAA’s JCSDA external research program • Collaboration with NESDIS CRTM and NWS land data assimilation teams • Improved roughness length led to increased skill in snow depth prediction by GFS/NOAH and WFR/NOAH • Implemented in GFS/NOAH land model (latest release, v 3.5). Testing new snow depth algorithms led to improved snow characterization in land-surface component (NOAH) for NCEP’s operational GFS (release v3.5) and WRF models. Black: observations Green: control GFS Yellow: GFS + improved roughness length Red: GFS + all improvements averaged (over 100-120degW, 50-60degN) for 3/2011 JCSDA annual report; figure courtesy of X. Zeng, U Arizona

  16. FY 13 Highlights: JHT 11 Joint Hurricane Testbed projects completed their two years of testing during the 2013 hurricane season Uhlhorn , Hurricane Research Division: Stepped-frequency microwave radiometer bias-corrected hurricane winds Ginis/Bender, U Rhode Island/ Geophysical Fluid Dynamics Laboratory: Improved hurricane models

  17. FY 13 Highlights: OPG • Virtual AWIPS proof of concept • GOES-R Fog/Low Stratus Tool • Support for AWC TB Experiment • Programming for Winter Hazard Message Simplification • Finalizing Test Plan with NASA SPoRT/GOES-R for Operational Readiness Evaluation in March 2014 • Test plan developed for Hazards Services Hydro Tool

  18. FY13 Highlights: SWPT • Tested upgrades to operational Wang-Sheeley-Arge Enlil model for prediction geomagnetic storms, now implemented • Tested new coronal mass ejection analysis tool, now implemented • Tested Space Environmental Anomalies Expert System Real Time for GEO satellite operators, now implemented • Evaluated and selected magnetosphere/geospace model for transition to operations (with NASA) • Tested ionosphere and thermosphere products • Ovation Prime aurora forecast model, now implemented • Upgrade/expansion to US Total Electron Content model – N America domain ready for implementation; global product in testing

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