This lesson consists of presentations by nine professionals from NOAA and NASA recorded at the GOES-R Workshop for Broadcast Meteorologists at Kennedy Space Center. The workshop was offered by StormCenter Communications, Inc. in partnership with the COMET Program in conjunction with the November 2016 GOES-R launch. These presentations introduce broadcast meteorologists to the new capabilities of this next-generation weather satellite and cover topics including new instrumentation and data available via the GOES-R series, and how the imagery will improve forecasting. After completing this lesson and passing the quiz, students will receive a certificate which can be used to document continuing education credits toward maintaining certification for the AMS CBM and NWA Seal of Approval.
Identify driving factors and key initiatives in the evolution of NWS services including impact-based decision support.
Identify key instruments on GOES-R and their functions.
Describe basic features of the ground control system.
Describe the importance of space weather and the role GOES-R will play in keeping us informed about it.
Describe key features and capabilities of the advanced baseline imager (ABI) instrument on GOES-R.
Describe key features and capabilities of the geostationary lightning mapper (GLM) tool on GOES-R.
Identify key improvements in GOES-R instruments for such areas as IR imagery, water vapor, and motion detection and how these tools will support improved weather forecasts.
Describe key features of GOES-R improved sensors and refresh rates and how these will support enhanced understanding of storm development processes.
Describe how the increased data supplied by the GOES-R systems will be managed and accessed through the Max system.
Describe key features of Baron Services, Inc plans for delivering GOES-R data.
GOES-R, GOESR, geostationary satellite, weather forecasting, NASA, NOAA, launch, National Weather Service, NWS, Storm Center Communications, Advanced Baseline Imager, ABI, broadcast meteorologist, meteorology, geostationary lightning mapper, GLM, SEISS, MAG, space weather, EXIS, SUVI, solar imaging, severe weather forecasting, Weather Ready Nation, WRN, satellite data, impact-based decision support services
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