Early Warning model for Thunderstorms around Lake Victoria

Master thesis (2020)

Authors

B.J. Magura Civil Engineering & Geosciences

Contributors

J.A.E. ten Veldhuis Water Resources - CEG (supervisor 1)
N.C. van de Giesen Water Resources - CEG (supervisor 2)
M.A. Schleiss Atmospheric Remote Sensing - CEG (supervisor 2)
Faculty
Civil Engineering & Geosciences
Copyright: © 2020 bart Magura
Machine learning Thunderstorms Early Warning Model Lake Victoria
More Info
expand_more

Published Date

26-08-2020

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Abstract

This report describes the development of an early warning model for thunderstorm occurrence around Lake Victoria. It is the first model to use the TAHMO lightning sensor data to predict thunderstorms. This study hopes to contribute to the TWIGA focus area of increasing disaster resilience through forecasting and early warnings and could be used to reduce the impact of thunderstorms for the communities around Lake Victoria, and to aid the flights of Zipline’s medicine-delivery drones.