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Symposium on the hydrometeorological usage of data from commercial microwave link networks

Jun 25 – 28, 2019
KIT Campus Alpin
Europe/Berlin timezone

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Session

Stakeholder presentations

Jun 25, 2019, 3:50 PM
large seminar room (KIT Campus Alpin)

large seminar room

KIT Campus Alpin

Kreuzeckbahnstraße 19 82467 Garmisch-Partenkirchen

Presentation materials

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  1. 20. The mobile industry view on CML for rainfall observation: A GSMA perspective
    Mr Daniele Tricarico (GSMA)
    6/25/19, 3:50 PM
    Stakeholder contributions (Day1)
    Oral

    The presentation will introduce the existing work and future plans of the GSMA in the field of mobile technology and mobile data applied to weather services in developing countries. The session will focus specifically on the GSMA’s approach, as a private sector stakeholder, to provide value for mobile operators via sustainable business models for CML data sharing and value addition. I will...

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  2. 37. An overview of the real-time radar-based precipitation analysis of Deutscher Wetterdienst and plans for including CML data
    Dr Tanja Winterrath (Deutscher Wetterdienst )
    6/25/19, 4:05 PM
    Stakeholder contributions (Day1)
    Oral

    In this presentation, we will introduce the Deutscher Wetterdienst (DWD) radar network and real-time analysis within the hydrometeorological production system RADOLAN. The key feature is the adjustment of radar-derived precipitation estimates to gauge-based measurements with a temporal resolution of one hour on a 1 km2 raster covering the German territory. The RADOLAN system has been developed...

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  3. 23. Rain monitoring with commercial microwave link networks in Sweden
    Remco van de Beek (SMHI, Sweden)
    6/25/19, 4:20 PM
    Stakeholder contributions (Day1)
    Oral

    Since 2015 SMHI, in collaboration with Ericsson and Tre, have been deriving the rain rate from microwave link data in Gothenburg in a semi-operational setup. We present how we measure rain with different networks of rain gauges, radar and microwave link in Sweden and discuss their strengths and weaknesses and how microwave links can help in gaining accurate rain rate measurements. Recently we...

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  4. 36. Automatic classification of fading events in large microwave networks
    Dr Jonas Hansryd (Ericsson AB )
    6/25/19, 4:35 PM
    Stakeholder contributions (Day1)
    Oral

    TBA

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