Participants will learn about GOES-R and JPSS satellite product applications and models related to rainfall and flood events, and engage in hands-on exercises to investigate case studies using the products and models. At the end of the short course, participants will have developed an understanding of the satellite data and products pertaining to precipitation forecasting.
REGISTRATION RATES
AMS Member Early Rate | Non-Member Early Rate | AMS Student Member Early Rate | AMS Member Late Rate | Non-Member Late Rate | AMS Student Member Late Rate | |
Through Dec 4 | Through Dec 4 | Through Dec 4 | Dec 5-Jan 10 | Dec 5-Jan 10 | Dec 5-Jan 10 | |
Satellite Applications for Rainfall Rates and Flood Prediction | $115.00 | $140.00 | $80.00 | $155.00 | $180.00 | $120.0 |
Participants will learn how NOAA GOES-R and JPSS satellite data and products are used and incorporated into models for the application, prediction, and decision support in protecting people and property during rainfall and flood events.
Precipitation prediction products such as Quantitative Precipitation Forecasts (QPE), Total Precipitable Water (TPW) and Advected Layer Precipitable Water (ALPW), Ensemble Tropical Rainfall Potential (eTRaP), and Enterprise Rain Rate (eRR), Climate Prediction Center morphing method (CMORPH) will be discussed.
Through hands-on exercises, participants will have an opportunity to access and download GOES-R/JPSS satellite data products, as well as other products and models, to investigate case studies pertaining to rainfall and flood events. For our hands-on exercise of the FIER technique, users are required to bring their laptop with a Google Colab account to participate in the activity and shared notebook.
It is desired that attendees have a fundamental understanding of satellite remote sensing and basic Python programming skills. Some suggested resources include online modules in advance to prepare for the workshop. There is no charge for the MetEd sessions:
The participants will come away with an enhanced understanding on how to generate and apply GOES-R and JPSS environmental satellite data products and models for monitoring and predicting rainfall and flood events in real-time situations.
Technology:
If you have questions regarding the course, please contact Sherrie Morris.
CIRA
NOAA/NESDIS/OSPO
CIRA/CSU
CIMSS/SSEC, NOAA/JPSS
CIRA
University of Houston
University of Houston
NOAA/NESDIS STAR