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CMES Hasan Hosseini has got Pre-seed funding for 2021 by LU innovation

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Project title: AI assisted radar rainfall algorithms for advanced engineering decision support systems. Photo: Joshua Lanzarini on Unsplash

Local weather often is not what news reports for cities and counties. As transient, local, and intense as a cloudburst, rainfall can be highly variable, impractical to measure for usual rain-gauge networks. Frequent extreme events with climate change call for fundamental knowledge developments on rainfall. With the new X-band weather radars initially installed to avoid urban flooding, high-resolution rainfall monitoring (at ≤1minute and ≥100meter) for 50-km radius coverage is possible.

“Not only urban practices but also housing industry, agriculture, and ecosystems can benefit from the new technology. To take a full advantage of the new technology, the project introduced new data adjustment algorithms and two successful applications, and argued the need for upgrading current decision-support tools for a sustainable, reduced, and cleaner use of resources, and alleviated economical losses due to extreme weather. Innovative multiple applications for the existing infrastructure increases the added value of the technology and makes it worthwhile for other regions, including developing countries to invest on common interests.

Prof. Ronny Berndtsson, Hossein Hashemi and Rolf Larsson from Lund University as scientific advisors and other internal and external reference groups from Swedish Meteorological and Hydrological Institute, the two water utilities VA Syd and NSVA, Swedish University of Agricultural Sciences, and Sweden Water Research are involved in the project.

Photo by Joshua Lanzarini on Unsplash