Prof. Čedo Maksimović, Dr. Christian Onof, Li-Pen Wang

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Presentation transcript:

Urban pluvial flood forecasting - rainfall data processing - experimental site in Redbridge Prof. Čedo Maksimović, Dr. Christian Onof, Li-Pen Wang Dept. Civil and Environmental Engineering, Imperial College London Visitors from University of Iowa, 28/05/2010 @ ICL

Surface Flooding Forecast / Warning A more reliable flooding forecast could be implemented if a high-resolution rainfall prediction with longer lead time is carried out Rainfall Depth Observed Predicted Resolution Now Time Lead time Runoff Modelling Sewer Simulation Surface Flooding Forecast / Warning

Rainfall data processing Aim to carry out high-resolution rainfall forecasting with longer lead time Rainfall data processing

NOWCASTING An integrated notion Focus on statistically-based downscaling techniques Why deterministic?  because the aim of this work is to “forecast.”

Possible improvements in Nowcasting, Calibration & Downscaling Information based upon NWP outputs Advection of rainfields Larger-scale weather variations Enhanced radar observations X-Band radar and ground raingauge data Super-resolution techniques to improve the spatial resolution Statistically-based space-time downscaling techniques Cascade-based spatial disaggregation method Temporal correlation between successive rainfields

Generalised Linear Models (GLMs)

Poisson cluster based methods

Cascade-based Methods: scale-invariance

Cascade-based methods: mapping to rainfall sequences

Cran Brook catchment in the London borough of Redbridge Experimental site

Redbridge catchment and Roding river

Radars surrounding the Redbridge area

Three real-time accessible tipping bucket raingauges over the Redbridge catchment (frequency: 1 – 5 min)

Real-time access to 30+ weather monitoring systems in each London Borough (frequency: 30 min)

One pressure sensor for Roding river (frequency: 5-10 min)

Two sensors for water depth measurement in sewers (frequency: 5/10 min)

One sensors for water depth measurement in open channels (frequency: 5-10 min)

Thank you for your attention Li-Pen Wang li-pen.wang08@imperial.ac.uk