| Summary: | Flooding is one of the leading natural hazards [1]. Floods
often cause enormous casualties and substantial property
damage on a global scale every year. Extreme precipitation
alongwith increasing urbanization is the main culprit of most
floods. Under climate change, increases in extreme precipitation
are projected for the United States and other countries.
Understanding themechanisms of extreme precipitation and
its hydrometeorological connection with flooding, especially
under the circumstances of global climate change, is essential
for flood prevention and mitigation. Extreme precipitation
and flood monitoring are traditionally obtained from in
situ observations. However, remote sensing provides us
with various hydrological and meteorological retrievals at a
range of temporal and spatial resolutions. Remotely sensed
data alone and their integration with modelling techniques
are expected to enhance flood monitoring and modelling
capability to aid in decision-making. There is an urgent
need for improved monitoring, modelling, and forecasting
techniques in extreme precipitation to develop more effective
flood protection measures and management.
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