Articles | Volume 21, issue 3
Hydrol. Earth Syst. Sci., 21, 1359–1380, 2017

Special issue: Rainfall and urban hydrology

Hydrol. Earth Syst. Sci., 21, 1359–1380, 2017
Review article
07 Mar 2017
Review article | 07 Mar 2017

Weather radar rainfall data in urban hydrology

Søren Thorndahl et al.

Related authors

The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden
Marc Schleiss, Jonas Olsson, Peter Berg, Tero Niemi, Teemu Kokkonen, Søren Thorndahl, Rasmus Nielsen, Jesper Ellerbæk Nielsen, Denica Bozhinova, and Seppo Pulkkinen
Hydrol. Earth Syst. Sci., 24, 3157–3188,,, 2020
Short summary
Event-based stochastic point rainfall resampling for statistical replication and climate projection of historical rainfall series
Søren Thorndahl, Aske Korup Andersen, and Anders Badsberg Larsen
Hydrol. Earth Syst. Sci., 21, 4433–4448,,, 2017
Short summary

Related subject area

Subject: Urban Hydrology | Techniques and Approaches: Instruments and observation techniques
Sources and pathways of biocides and their transformation products in urban storm water infrastructure of a 2 ha urban district
Felicia Linke, Oliver Olsson, Frank Preusser, Klaus Kümmerer, Lena Schnarr, Marcus Bork, and Jens Lange
Hydrol. Earth Syst. Sci., 25, 4495–4512,,, 2021
Short summary
Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model
Juan Naves, Juan T. García, Jerónimo Puertas, and Jose Anta
Hydrol. Earth Syst. Sci., 25, 885–900,,, 2021
Short summary
Using soil water isotopes to infer the influence of contrasting urban green space on ecohydrological partitioning
Lena-Marie Kuhlemann, Doerthe Tetzlaff, Aaron Smith, Birgit Kleinschmit, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 927–943,,, 2021
Short summary
Reconstituting past flood events: the contribution of citizen science
Bocar Sy, Corine Frischknecht, Hy Dao, David Consuegra, and Gregory Giuliani
Hydrol. Earth Syst. Sci., 24, 61–74,,, 2020
Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network
Matthew Moy de Vitry, Simon Kramer, Jan Dirk Wegner, and João P. Leitão
Hydrol. Earth Syst. Sci., 23, 4621–4634,,, 2019
Short summary

Cited articles

Achleitner, S., Fach, S., Einfalt, T., and Rauch, W.: Nowcasting of rainfall and of combined sewage flow in urban drainage systems, Water Sci. Technol., 59, 1145–1151,, 2009.
Ahm, M., Thorndahl, S., Rasmussen, M. R., and Bassø, L.: Estimating subcatchment runoff coefficients using weather radar and a downstream runoff sensor, Water Sci. Technol., 68, 1293–1299,, 2013.
Anagnostou, M. N. and Anagnostou, E. N.: Precipitation: Advances in Measurement, Estimation and Prediction, edited by: Michaelides, S., Springer Berlin Heidelberg, Berlin, Heidelberg, 2008.
Anagnostou, E. N., Anagnostou, M. N., Krajewski, W. F., Kruger, A., and Miriovsky, B. J.: High-Resolution Rainfall Estimation from X-Band Polarimetric Radar Measurements, J. Hydrometeorol., 5, 110–128,<0110:HREFXP>2.0.CO;2, 2004.
Atencia, A., Mediero, L., Llasat, M. C., and Garrote, L.: Effect of radar rainfall time resolution on the predictive capability of a distributed hydrologic model, Hydrol. Earth Syst. Sci., 15, 3809–3827,, 2011.
Short summary
This paper reviews how weather radar data can be used in urban hydrological applications. It focuses on three areas of research: (1) temporal and spatial resolution of rainfall data, (2) rainfall estimation, radar data adjustment and data quality, and (3) nowcasting of radar rainfall and real-time applications. Moreover, the paper provides examples of urban hydrological applications which can benefit from radar rainfall data in comparison to tradition rain gauge measurements of rainfall.