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Published byGiles Green Modified over 9 years ago
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I) Methods of interpolation II) Cloud tracking III) Future Work : radar images & Flood modelling Maureen Coat ENSTA Paristech
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Database available : 88 Raingauge Stations Rainfall Rate every 30 min Between 06/06/2006 and 19/10/2009
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Code in SQL, easy selection of rainfall rate: At any date At any time In London Only a discrete set of data… But rainfall is a continuous phenomenon => Interpolation in regular grid cells
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Many methods exist : Inverse Distance Weight Liska’s Method Polygone of Thiessen … The more efficient : Kriging Method : Designed for geophysical variables with a continuous distribution Based on statistics => Many data are required (Database) With Matlab
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Rainfall Rate Interpolation in London : (07/07/2009)
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The 07/07/2009 : Flash flood in London Victoria Station, Edgware road, and Paddington have been evacuated
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Rainfall Rate (mm/h) in London (07/07/2009) : Victoria Station Latitude : 51.5104444 Longitude : 0.1872222
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Rainfall Rate (mm/h) in London (07/07/2009) :
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Weather radar : Estimated rainfall rates are derived indirectly from measurements of reflectivity => subject to a combination of systematic and random errors Conditional Merging ? Bemus (Belgrade Model of Urban Sewers) : Rainfall Data is in Input Influence of intensity Influence of interpolation Method
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Maureen Coat maureen.coat@ensta.fr
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