Satellite Applications for Rainfall Rates and Flood Prediction

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.

105th AMS Annual Meeting
New Orleans Ernest N. Morial Convention Center
January 12, 2025 at 8:00 AM - 3:30 PM Central Time (In Person)

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Course Description:

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.

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.

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:

  • Participants will need to bring their own device to utilize the tools and services that will be available during the hands-on exercises.
  • Participants will be provided access to online cloud services to access tools and run models.

VIEW AGENDA

If you have questions regarding the course, please contact Sherrie Morris.

Instructors:

Dan Bikos
Dan Bikos

CIRA

Dan Lindsey
Dan Lindsey

NOAA/NESDIS GEO Program

Satya Kalluri
Satya Kalluri

NOAA/NESDIS/LEO and JPSS Programs

William Straka
William Straka

CIMSS/SSEC, NOAA/JPSS

John Forsythe
John Forsythe

CIRA

Dr. Hyongki Lee
Dr. Hyongki Lee

University of Houston

Amirhossein Rostami
Amirhossein Rostami

University of Houston

Kuligowski
Bob Kuligowski

NOAA/NESDIS STAR