Itay Bragin- Vapor Density field estimation using commercial microwave links and temperature

Electrical Engineering Systems Seminar

Speaker: Itay Bragin

M.Sc. student under the supervision of Dr. Jonatan Ostrometzky

Sunday, 2^nd June 2024, at 15:00

Room 011, Kitot Building, Faculty of Engineering

Vapor Density field estimation using commercial microwave links and temperature

Abstract

Accurate water vapor density measurement is crucial for weather models, health risk management, industrial management, and many other applications. A support vector machine algorithm for estimating water vapor density at a reference weather station using the received signal level values measured at a commercial microwave link has already been proposed. We leverage on the preliminary potential presented, and propose enhanced machine learning models that utilize more commercial microwave links with temperature measurements inside a given area to estimate a a reference weather stations humidity measurements. We then show how this could be expanded to estimate a 3-dimensional water vapor density field with even higher accuracy by taking into consideration the elevation via the humidity-elevation profile. Specifically, we show that the accuracy achieved by the proposed approach (in a sense of the root mean square error at a given location) was almost three times better when compared with previously presented models that utilize a single commercial microwave link.

השתתפות בסמינר תיתן קרדיט שמיעה = עפ"י רישום שם מלא + מספר ת.ז. בדף הנוכחות שיועבר באולם במהלך הסמינר