Training Framework for Satellite User Readiness in NOAA AMS 2015 20 th Conference on Satellite Meteorology & Oceanography LeRoy Spayd & Anthony Mostek.

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Presentation transcript:

Training Framework for Satellite User Readiness in NOAA AMS th Conference on Satellite Meteorology & Oceanography LeRoy Spayd & Anthony Mostek NWS Training Division 1

Focus on Forecaster Performance Improve NWS short-term forecast and warning operations by optimally using GOES-R & JPSS data and products. Increase use of digital satellite data into operations to support Decision Support Services (DSS) for Weather Ready Nation. 2

Working Together for Satellite Training Satellite & NWS Proving Grounds Users & Developers Satellite Liasions, EUMETSAT, NASA/SPoRT, Canada, DOD… VISIT (CIRA/CIMSS) UCAR/COMET WMO (Virtual Lab) NWS Training Division & SOOs

Inputs to Develop Content Himawari Data Sets Test Bed experiments OPG Operational Readiness Evaluations COMET modules CIRA/CIMSS/SPORT experts GOES-R/JPSS Liaisons WMO Virtual Lab Feedback from SOOs – (ex. NUCAPS, day/night band) Satellite O2R Proving Ground/User Readiness Meetings 4

GOES-R rapid refresh will help address data voids Time Days Outlooks Space RegionalState Local WatchesWarnings Event Hours Minutes Information Void(s) Adapted from Dr. Heather Lazrus (SSWIM) and Lans Rothfusz (NSSL) pre-warningPre-watch 5

Official products will become gridded, probabilistic, hazard based and digitally fused with radar/models and other observations Hail Damage Trees Down >EF3 Tornado Lightning Tornado Grid Hail Grid Wind Grid Impact Grid Adapted from Lans Rothfusz (NSSL) 6

Overview Training Plan has two main phases: 1.Foundational training for all operational meteorologists 2.Ongoing Just-in-Time Training & Resources 7

Foundational training for all Capabilities of New Satellites: – Spatial/temporal resolution – Imager bands/combinations & products – Lightning mapper + other instruments Satellite interpretation of meteorological features How satellite data is assimilated into numerical models: – Using satellite data to verify initial conditions (situational awareness) – Using satellite data to validate model performance – Data Fusion with satellite/radar data and models 8

Foundational Training 1. “Core” modules to set baseline understanding: For all Forecasters - GOES-R/JPSS Basics - Focus on new capabilities - Focus on interpretation/use of the data - Introduce operationally relevant baseline products (e.g., RGB, Convective Initiation, etc.) 2. Specific task-based training tracks: WFO – Warnings, Grid Production, DSS, Marine, Fire, Tropical, etc CWSU – Aviation, Volcanic ash RFC – Hydro including QPE/QPF 3. Residence science infusion/satellite lab for SOOs & Local Satellite Champions 9

Ongoing Just-In-Time Training Storm of the Month/week webinars Blogs/FAQs Real time chats during live weather events Short videos (ex.YouTube) Quick reference guides on AWIPS-2 Dynamic simulations 10

Summary  Focus on improving forecaster performance by better utilizing SNPP/JPSS, GOES-R, and Himawari in NWS Operations  Foundational training for all Meteorologists when data becomes operationally available  Just-in-Time training continues for several years as new satellite products are developed and satellite data is fused with other observations (radar) & models 11