Prof.dr.ir. R. (Remko) Uijlenhoet

Prof.dr.ir. R. (Remko) Uijlenhoet

Profiel

Expertise

Biografie

Onderzoeksinteresses

Although Remko Uijlenhoet’s publications cover the full range of hydrological science, his main research interests are (1) the measurement and parameterization of the space-time variability of rainfall using ground-based remote sensing techniques and (2) the development of opportunistic sensing techniques as a novel way to inform hydrological science and applications (Keynote lecture “Opportunistic sensing – tapping into new sources of hydrologic information”, https://www.youtube.com/watch?reload=9&v=Em2wvxwKxtM, from 10:10 to 18:55, AGU Fall Meeting 2019). His research group was among the first in the world to apply microwave links from cellular communication networks for rainfall monitoring (https://doi.org/10.1029/2006WR005631) and was the first to demonstrate that such networks can provide near real-time monitoring of the space-time dynamics of rainfall at the scale of an entire densely populated country (https://doi.org/10.1073/pnas.1217961110).

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Academische achtergrond

Remko Uijlenhoet is Professor of Hydrology & Water Resources in the Department of Water Management of the Faculty of Civil Engineering and Geosciences at Delft University of Technology. Before joining TU Delft (on November 1st, 2020), he was Professor and Chair of the Hydrology and Quantitative Water Management Group at Wageningen University & Research since 2007. Remko Uijlenhoet holds BSc, MSc and PhD degrees from Wageningen University. During his career, he spent a total of six years abroad, in the US (Beltsville, Princeton, Duke), France (Grenoble) and Spain (Barcelona).

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Publicaties

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Prijzen

  • 2025

    2025 Class of AMS Fellows

    Elected Fellow of the American Meteorological Society (AMS). Primary affiliation: Hydrology.
    AMS Annual Meeting 2025

  • 2020

    2020 Class of AGU Fellows

    Elected Fellow of the American Geophysical Union (AGU). Primary affiliation: Hydrology. Citation: “For outstanding contributions to the development of remote sensing techniques to estimate space-time variability of rainfall".
    AGU Fall Meeting 2020

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