This virtual short course will familiarize participants with fundamentals of AI and machine learning, for weather radar applications. The course will introduce basic principles of modern weather radars covering both ground and space borne systems. The course will then immerse participants into three different weather radar applications, namely, precipitation/storm classification, quantitative precipitation estimation, and nowcasting, each covering different aspects of data sciences.

May 17, 2021 at 10:00 AM - 6:00 PM Eastern Time (Virtual)

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$32 for student members
$64 for members
$104 for non-members

Registration policy:

AMS requires a valid payment to be made within 5 days of the start of a course or sooner if registration has reached capacity. You will be contacted by AMS staff if payment is required. Refunds will not be issued to attendees within 7 days of the start of a course. Registrations are not transferable or exchangeable.

Course Description:

Modern ground based weather radars are mostly dual-polarized and they are rich in information content in multiple dimensions and are ideal candidates for effective artificial intelligence (AI) applications. There are a large number of dual-polarization radars around the world. In addition, space borne weather radars such as Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) and Global Precipitation Measurement (GPM) mission Dual-frequency Precipitation Radar (DPR) have also produced rich observations that are great to be analyzed using AI. AI has already been used with weather radar information long before it became popular in mainstream, such as use of neural networks for ingesting vertical profiles and using neuro-fuzzy systems for hydrometeor classification.

The primary goal of this short course is to familiarize participants with fundamentals of AI and machine learning, for weather radar applications. The course will introduce basic principles of modern weather radars covering both ground and space borne systems. The course will then immerse participants into three different weather radar applications, namely, precipitation/storm classification, quantitative precipitation estimation, and nowcasting, each covering different aspects of data sciences. The overarching goal is to introduce users to techniques and applications to improve the radar products forecasting and warnings in a new and efficient manner.

Instructors:

Haonan Chen

Colorado State University

V. Chandrasekar

Colorado State University