title: Radar based rainfall forecast for sewage systems control.
abstract: There has been an increasing demand for accurate rainfall forecast in urban areas from the water industry. Current forecasting systems provided mainly by meteorological offices are based on large-scale prediction and are not well suited for this application. In order to devise a system especially designed for the dynamic management of a sewerage system the "RADAR" project was launched. The idea of this project was to provide a short-term small-scale prediction of rain based on radar images. The prediction methodology combines two methods. An extrapolation method based on a sophisticated cross correlation of images is optimised by a neural network technique. Three different application sites in Europe have been used to validate the system.
authors.affiliation: Malmö Water, S-205 80 Malmö, Sweden.
authors.forename: H
authors.initials: H
authors.lastname: Aspegren
authors.forename: C
authors.initials: C
authors.lastname: Bailly
authors.forename: A
authors.initials: A
authors.lastname: Mpé
authors.forename: N
authors.initials: N
authors.lastname: Bazzurro
authors.forename: A
authors.initials: A
authors.lastname: Morgavi
authors.forename: E
authors.initials: E
authors.lastname: Prem
authors.forename: N E
authors.initials: NE
authors.lastname: Jensen
mesh_terms: D002947:Cities; D005544:Forecasting; D007221:Industry; D011825:Radar; D011891:Rain; D012722:Sewage; D014872:Water Movements; D014876:Water Pollution / Q000517:prevention & control*
chemical_list: D012722:Sewage