Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-5063-2016
https://doi.org/10.5194/amt-9-5063-2016
Research article
 | 
17 Oct 2016
Research article |  | 17 Oct 2016

Airborne laser scan data: a valuable tool with which to infer weather radar partial beam blockage in urban environments

Roberto Cremonini, Dmitri Moisseev, and Venkatachalam Chandrasekar

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Cited articles

Ackermann, F.: Airborne laser scanning–present status and future expectations, ISPRS J. Photogramm., 54, 64–67, https://doi.org/10.1016/S0924-2716(99)00009-X, 1999.
Ahokas, E. and Kaartinen, H.: On the quality checking of the airbone laser scanning-based nation wide elevation model in Finland, available at: http://www.isprs.org/proceedings/xxxvii/congress/1_pdf/44.pdf (last access: 12 July 2014), 2013.
Bean, B. R. and Dutton, E. J.: Radio Meteorology, Dover Publications, 435 pp., 1968.
Bech, J., Codina, B., Lorente, J., and Bebbington, D.: The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient, J. Atmos. Ocean. Tech., 20, 845–855, https://doi.org/10.1175/1520-0426(2003)020<0845:TSOSPW>2.0.CO;2, 2003.
Berne, A., Delrieu, G., Creutin, J., and Obed, C.: Temporal and spatial resolution of rainfall measurements required for urban hydrology, J. Hydrol., 299, 166–179, 2004.
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Short summary
Although high-spatial-resolution weather radar observations are of primary relevance for urban hydrology, weather radar siting and characterization are challenging in an urban environment. Buildings, masts and trees cause partial beam blockages and clutter that seriously affect the observations. For the first time, this paper investigates the benefits of using airborne laser scanner (ALS) data for quantitative estimations of partial beam blockages in an urban environment.