Remko Uijlenhoet


Remko Uijlenhoet is Professor of Hydrology 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).


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”, 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 ( 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 (

Remko Uijlenhoet is currently involved as a lecturer in MSc course CIE5450, “Hydrology of Rivers, Catchments & Landscapes”.

  • Imhoff, R.O., C.C. Brauer, A. Overeem, A.H. Weerts, and R. Uijlenhoet, 2020: Spatial and temporal evaluation of radar rainfall nowcasting techniques on 1533 events. Water Resour. Res., 56, e2019WR026723, doi:10.1029/2019WR026723.
  • De Vos, L.W., A.M. Droste, M.J. Zander, A. Overeem, H. Leijnse, B.G. Heusinkveld, G.J. Steeneveld, and R. Uijlenhoet, 2020: Hydrometeorological monitoring using opportunistic sensing networks in the Amsterdam metropolitan area. Bull. Amer. Meteor. Soc., 101, E167–E185, doi:10.1175/BAMS-D-19-0091.1.
  • Pauwels, V.R.N., and R. Uijlenhoet, 2018: Confirmation of a short-time expression for the hydrograph rising limb of an initially dry aquifer using laboratory hillslope outflow experiments. Water Resour. Res., 54, 10,350–10,361, doi:10.1029/2018WR023580.
  • Uijlenhoet, R., A. Overeem, and H. Leijnse, 2018: Opportunistic remote sensing of rainfall using microwave links from cellular communication networks. WIREs Water, 5, e1289, doi:10.1002/wat2.1289.
  • Overeem, A., J.C.R. Robinson, H. Leijnse, G.J. Steeneveld, B.K.P. Horn, and R. Uijlenhoet, 2013: Crowdsourcing urban air temperatures from smartphone battery temperatures. Geophys. Res. Lett., 40, 4081–4085, doi:10.1002/grl.50786.
  • Overeem, A., T.A. Buishand, I. Holleman, and R. Uijlenhoet, 2010: Extreme-value modeling of areal rainfall from weather radar. Water. Resour. Res., 46, W09514, doi:10.1029/2009WR008517.
  • Uijlenhoet, R., 2001: Raindrop size distributions and radar reflectivity–rain rate relationships for radar hydrology. Hydrol. Earth Syst. Sci., 5, 615–627, doi:10.5194/hess-5-615-2001.
  • Kustas, W.P., A. Rango, and R. Uijlenhoet, 1994: A simple energy budget algorithm for the snowmelt runoff model. Water Resour. Res., 30, 1515–1527, doi:10.1029/94WR00152.

Remko Uijlenhoet

Professor of Hydrology

Monday till Friday

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