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Urban pluvial flood forecasting - rainfall data processing - experimental site in Redbridge

This research focuses on enhancing urban pluvial flood forecasting through high-resolution rainfall data processing, conducted at an experimental site in Redbridge. Led by Prof. Čedo Maksimović, Dr. Christian Onof, and Li-Pen Wang from Imperial College London, the study employs advanced nowcasting techniques, calibration, and downscaling methods to improve rainfall predictions with longer lead times. By integrating meteorological data, radar observations, and innovative statistical models, the aim is to provide more reliable flood forecasts, benefiting urban planning and disaster management.

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Urban pluvial flood forecasting - rainfall data processing - experimental site in Redbridge

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

  2. 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 Sewer Simulation Runoff Modelling Surface Flooding Forecast / Warning

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

  4. NOWCASTING

  5. 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

  6. Generalised Linear Models (GLMs)

  7. Poisson cluster based methods

  8. Cascade-based Methods: scale-invariance

  9. Cascade-based methods: mapping to rainfall sequences

  10. Cran Brook catchment in the London borough of Redbridge Experimental site

  11. Redbridge catchment and Roding river

  12. Radars surrounding the Redbridge area

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

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

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

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

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

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

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