  This paper addresses the challenges of an early flood warning caused by
complex convective systems (CSs), by using Low-Earth Orbit and Geostationary
satellite data. We focus on a sequence of extreme events that took place in
central Vietnam during October 2020, with a specific emphasis on the events
leading up to the floods, i.e., those occurring before October 10th, 2020. In
this critical phase, several hydrometeorological indicators could be identified
thanks to an increasingly advanced and dense observation network composed of
Earth Observation satellites, in particular those enabling the characterization
and monitoring of a CS, in terms of low-temperature clouds and heavy rainfall.
Himawari-8 images, both individually and in time-series, allow identifying and
tracking convective clouds. This is complemented by the observation of
heavy/violent rainfall through GPM IMERG data, as well as the detection of
strong winds using radiometers and scatterometers. Collectively, these
datasets, along with the estimated intensity and duration of the event from
each source, form a comprehensive dataset detailing the intricate behaviors of
CSs. All of these factors are significant contributors to the magnitude of
flooding and the short-term dynamics anticipated in the studied region.
