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GOES-R PG/UR Meeting NWS Operational Advisory Team (NOAT) Bill Ward

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Presentation on theme: "GOES-R PG/UR Meeting NWS Operational Advisory Team (NOAT) Bill Ward"— Presentation transcript:

1 GOES-R PG/UR Meeting NWS Operational Advisory Team (NOAT) Bill Ward
Chief, Environmental and Scientific Services Division (ESSD) Pacific Region Headquarters NOAT Chair

2 NWS Operational Advisory Team
NOAT NWS Operational Advisory Team What is the NOAT? A group comprised of the SSD Chiefs from the six (6) NWS Regions plus a representative for NCEP NOAT Membership Greg Patrick (Southern Region) Jeff Craven (Central Region) Ken Johnson (Eastern Region) – Deputy Chair Andy Edman (Western Region) Eugene Petrescue (Alaska Region) Bill Ward (Pacific Region) – Chair Jim Yoe (NCEP)

3 NOAT Purpose What is the purpose of the NOAT?
Develop guidance for the NESDIS Science and Demonstration Executive Board (SDEB) to ensure GOES-R and JPSS science development and demonstration activities are more likely to be aligned with NWS operational priorities The NOAT does not fund the future projects nor do we determine what is funded. We are an advisory group to the SDEB.

4 NOAT WRN - Science and Technology Concepts
What the NOAT focuses on

5 WRN - Science and Technology Concepts
NOAT WRN - Science and Technology Concepts The NOAT Science Vision (Key Themes) come from the Science and Technology (S&T) CAPSTONE document Themes are tied to Underlying S&T Concepts in WRN Roadmap: Best State of the Atmosphere (e.g., comprehensive situational knowledge, 3-D analysis) Next-Generation Forecast System Convective initiation/Warn on Forecast Decision Support Information Systems Integration of Social Science into the forecast process Risk Reduction as a Core Validation Activity

6 WRN - Science and Technology Concepts
NOAT WRN - Science and Technology Concepts Question…Do you just throw a satellite product at a problem/challenge/issue? The NOAT considers: What is the proposed project path to operations (R2O…Capital O)? Current and future NWS operations AWIPS II and/or evolving prototypes of future systems Test bed, Proving Ground, operational (NWS) personnel Integration into current/evolving operational modeling and data assimilation systems Is a project satellite-centric? Okay if it makes sense Fusion Multisensor (more than just other sat sensors) NOAA/NWS Integrated observation system and operational NWP Don’t forget potential end-user/stakeholder info (e.g., aviation routes, traffic)

7 WRN - Science and Technology Concepts
NOAT WRN - Science and Technology Concepts An Operational Example: Blended TPW Multisensor (GPS, AMSU-SSMI) product well used by forecasters because it dealt with a significant issue: moisture distribution Why we need this? Atmospheric Rivers Heavy rain/snow Flood/Blizzard Drought Convective Storms

8 WRN - Science and Technology Concepts
NOAT WRN - Science and Technology Concepts A Potential Data Fusion Example: QPE Can we do a Blended TPW-like QPE? GOES R Global Precipitation Why we need this? Flood/flash flood Transportation Drought = + Radar/sfc obs

9 WRN - Science and Technology Concepts
NOAT WRN - Science and Technology Concepts A Potential Operational Example: Convective Initiation/Severe Weather Can we integrate the information in future tools? Next Generation Warning System CI Why we need this? Situational Awareness Convective warning confidence Decision Support (venues) Over- shooting tops Lightning Jumps

10 NOAT WRN - Science and Technology Concepts
A Potential Modeling Example: Convective Initiation/Severe Weather Does it make more sense to assimilate the information into convective resolving NWP models? Warn on Forecast (WoF) System Why we need this? Situational Awareness Convective warning confidence Decision Support (venues) JPSS /GOES-R radiances or other satellite data (CriS/ATMS)

11 WRN - Science and Technology Concepts
NOAT WRN - Science and Technology Concepts Impacts and Issues: Initial zero hour of the forecast database and data assimilation Initial conditions to next generation modeling systems Forecaster assist in monitoring /QCing the forecast database Forecaster situational awareness Verification Better boundary layer depiction, especially low level distribution of moisture Enable concept of “Warn on Forecast” Improved QPE/QPF Development of general convection anticipated Improved boundary layer forecasts of cloud, fog and visibility Improved architecture for IDSS Input into advanced DS systems (Avn NextGen, fire wx, environmental/ecosystems) How do you fit? Smoke and dust Moisture/clouds Derived winds Fire hot spots QPE SST TPW Snow/ice cover Sea ice Volcanic ash Low clouds/fog Visibility CI Overshooting Tops Enhanced V Lightning Jump Stability Indices Hurricane Intensity Moisture profile Nearcast, etc

12 Additional Activities
NOAT Additional Activities Training: NOAT is heavily engaged with the Satellite Proving Grounds, and the OCLO to develop the next generation of satellite training OCONUS NOAT members (especially PR) are developing H8 training that will inform/influence NWS satellite training Option 2 – Future Operational Capabilities: NOAT is working with NESDIS and Cooperative Institutes on getting candidate products/capabilities funded and evaluated GOES-R Scan Mode Alternatives: New capabilities with GOES-R allow for multiple modes of operations. NOAT is working with NESDIS to develop an implementation strategy GOES-R Rapid Scan Strategy: GOES-R is capable of scanning 1 meso-area every 30 seconds or 2 different areas (alternating) every minute. NOAT is working with NESDIS to develop implementation strategy

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