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

Related authors

Winter Precipitation Measurements in New England: Results from the Global Precipitation Measurement Ground Validation Campaign in Connecticut
Brian C. Filipiak, David B. Wolff, Aaron Spaulding, Ali Tokay, Charles N. Helms, Adrian M. Loftus, Alexey V. Chibisov, Carl Schirtzinger, Mick J. Boulanger, Charanjit S. Pabla, Larry Bliven, Eun Yeol Kim, Francesc Junyent, V. Chandrasekar, Hein Thant, Branislav M. Notaros, Gustavo Britto Hupsel de Azevedo, and Diego Cerrai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-162,https://doi.org/10.5194/essd-2025-162, 2025
Preprint under review for ESSD
Short summary
An analysis of cloud microphysical features over United Arab Emirates using multiple data sources
Zhenhai Zhang, Vesta Afzali Gorooh, Duncan Axisa, Chandrasekar Radhakrishnan, Eun Yeol Kim, Venkatachalam Chandrasekar, and Luca Delle Monache
Atmos. Meas. Tech., 18, 1981–2003, https://doi.org/10.5194/amt-18-1981-2025,https://doi.org/10.5194/amt-18-1981-2025, 2025
Short summary
Calibration of Weather Radars with a Target Simulator
Marc Schneebeli, Andreas Leuenberger, Philipp J. Schmid, Jacopo Grazioli, Heather Corden, Alexis Berne, Patrick Kennedy, Jim George, Francesc Junyent, and V. Chandrasekar
EGUsphere, https://doi.org/10.5194/egusphere-2025-1702,https://doi.org/10.5194/egusphere-2025-1702, 2025
Short summary
Cell-tracking-based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall
Jenna Ritvanen, Seppo Pulkkinen, Dmitri Moisseev, and Daniele Nerini
Geosci. Model Dev., 18, 1851–1878, https://doi.org/10.5194/gmd-18-1851-2025,https://doi.org/10.5194/gmd-18-1851-2025, 2025
Short summary
Benchmarking KDP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations
Miguel Aldana, Seppo Pulkkinen, Annakaisa von Lerber, Matthew R. Kumjian, and Dmitri Moisseev
Atmos. Meas. Tech., 18, 793–816, https://doi.org/10.5194/amt-18-793-2025,https://doi.org/10.5194/amt-18-793-2025, 2025
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
TanSat-2: a new satellite for mapping solar-induced chlorophyll fluorescence at both red and far-red bands with high spatiotemporal resolution
Dianrun Zhao, Shanshan Du, Chu Zou, Longfei Tian, Meng Fan, Yulu Du, and Liangyun Liu
Atmos. Meas. Tech., 18, 3647–3667, https://doi.org/10.5194/amt-18-3647-2025,https://doi.org/10.5194/amt-18-3647-2025, 2025
Short summary
Propagating information content: an example with advection
David D. Turner, Maria P. Cadeddu, Julia M. Simonson, and Timothy J. Wagner
Atmos. Meas. Tech., 18, 3533–3546, https://doi.org/10.5194/amt-18-3533-2025,https://doi.org/10.5194/amt-18-3533-2025, 2025
Short summary
Best estimate of the planetary boundary layer height from multiple remote sensing measurements
Damao Zhang, Jennifer Comstock, Chitra Sivaraman, Kefei Mo, Raghavendra Krishnamurthy, Jingjing Tian, Tianning Su, Zhanqing Li, and Natalia Roldán-Henao
Atmos. Meas. Tech., 18, 3453–3475, https://doi.org/10.5194/amt-18-3453-2025,https://doi.org/10.5194/amt-18-3453-2025, 2025
Short summary
Observing atmospheric rivers using multi-GNSS airborne radio occultation: system description and data evaluation
Bing Cao, Jennifer S. Haase, Michael J. Murphy Jr., and Anna M. Wilson
Atmos. Meas. Tech., 18, 3361–3392, https://doi.org/10.5194/amt-18-3361-2025,https://doi.org/10.5194/amt-18-3361-2025, 2025
Short summary
Evolution of wind field in the atmospheric boundary layer using multiple-source observations during the passage of Super Typhoon Doksuri (2305)
Xiaoye Wang, Jing Xu, Songhua Wu, Qichao Wang, Guangyao Dai, Peizhi Zhu, Zhizhong Su, Sai Chen, Xiaomeng Shi, and Mengqi Fan
Atmos. Meas. Tech., 18, 3305–3320, https://doi.org/10.5194/amt-18-3305-2025,https://doi.org/10.5194/amt-18-3305-2025, 2025
Short summary

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.
Download
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.
Share