Jun 23 – 24, 2026
Royal Netherlands Meteorological Institute
Europe/Amsterdam timezone

Session

Oral session #4

Jun 24, 2026, 10:45 AM
Building A (Royal Netherlands Meteorological Institute)

Building A

Royal Netherlands Meteorological Institute

Utrechtseweg 297, De Bilt, the Netherlands

Presentation materials

There are no materials yet.

  1. Prof. Xichuan Liu (the College of Meteorology and Oceanography, National University of Defense Technology)
    6/24/26, 10:45 AM
    Processing methods

    Rainfall monitoring is essential for hydrological forecasting, agricultural management, and urban flood early‑warning. However, traditional methods based on dedicated instruments face limitations in cost, coverage and maintenance. Recently, opportunistic sensing using communication signals has emerged as a promising alternative. In particular, low‑frequency non‑line‑of‑sight downlink signals...

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  2. Gil Rafalovich (Tel Aviv University)
    6/24/26, 11:00 AM
    Processing methods

    Opportunistic climate monitoring has emerged as a critical frontier in meteorological research, leveraging existing telecommunication infrastructures to sense environmental phenomena. Analysing the attenuation of Satellite Microwave Links (SML) offers a highly promising avenue for high-resolution, global rainfall measurement. In an era of escalating climate volatility, the ability to rapidly...

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  3. Taoufiq Shit (CTU university ,Prague)
    6/24/26, 11:15 AM
    Processing methods

    Errors in the representation of the drop size distribution are a major source of uncertainty in rainfall estimation, since both radar reflectivity and microwave attenuation depend nonlinearly on precipitation microphysics. These uncertainties propagate directly into the specific attenuation–rain rate (k–R) relationship through the interaction between electromagnetic waves and hydrometeors,...

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  4. Matan Antebi (Tel Aviv University)
    6/24/26, 11:30 AM
    Processing methods

    Opportunistic sensing (OS) using commercial microwave links (CMLs) has gained increasing attention as a complementary observation source for hydrological applications. Most existing methods rely on a single type of transmission data protocol - e.g., instantaneous vs. min-max sampling at a specific sampling rate, due to the single source available (the network operator). However, when access to...

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  5. Yaara Peled
    6/24/26, 11:45 AM
    Processing methods

    Commercial Microwave Links (CMLs) are increasingly used as an opportunistic sensing modality for near-ground two-dimensional rainfall mapping. In this work, we apply graph signal processing (GSP) to address missing attenuation measurements caused by link failures in operational CML networks. Instead of assuming that measurements originate from link midpoints, we identify an optimal...

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  6. Emanuele Maria Sciortino (University of Pisa)
    6/24/26, 12:00 PM
    Processing methods

    Exploiting Satellite Microwave Links (SMLs) as opportunistic rain sensors is a widely adopted approach, particularly when using Ku-band (10–13 GHz) television broadcasting signals compliant with DVB standards. Most broadcast satellites employ transponders operating with an automatic level control mode (ALCM), which mitigates uplink (UL) power variations and renders almost impossible the...

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  7. Mr Ali Daher
    6/24/26, 12:15 PM
    Processing methods

    Commercial Microwave Links (CMLs) constitute an opportunistic sensing network for providing high-resolution rainfall measurements. In CML-based precipitation retrieval, a fundamental preprocessing step is the wet/dry classification. Traditional approaches rely on direct labeling strategies, where wet/dry states are inferred from nearby radar observations. While operationally simple, such...

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