Plinius Conference Abstracts
Vol. 17, Plinius17-49, 2022
https://doi.org/10.5194/egusphere-plinius17-49
17th Plinius Conference on Mediterranean Risks
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

NASA MPLNET precipitation detection algorithm validation by ground-based disdrometers in the frame of future ESA Earthcare mission

Simone Lolli1,3, Jasper R. Lewis2,4, Gemine Vivone1, Michael Sicard3, Ali Tokay2,4, and Ellsworth J. Welton4
Simone Lolli et al.
  • 1CNR-IMAA, Consiglio Nazionale delle Ricerche, Contrada S. Loja snc, Tito Scalo, 85050 Potenza, Italy
  • 2GESTAR II, University of Maryland Baltimore County, Baltimore, MD 21228, USA
  • 3CommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
  • 4NASA Goddard Space Flight Center, Code 612, Greenbelt, MD 20771, USA

Lidar measurements can detect exceptionally light precipitation, such as drizzle or virga. This kind of precipitation is really hard to detect by other remote sensing techniques such as radars because a very short longwave (in the visible) is needed due to the small size of raindrops. For those reasons, lidar instruments are well suited to fill a gap in detecting light precipitation. In this study, we show the intercomparison results between the ground-based disdrometer observations and lidar precipitation algorithm detection at Goddard Space Flight center for future precipitation calibration/validation of the next European Space Agency (ESA) Earthcare mission, which is expected to be launched in 2023.

How to cite: Lolli, S., Lewis, J. R., Vivone, G., Sicard, M., Tokay, A., and Welton, E. J.: NASA MPLNET precipitation detection algorithm validation by ground-based disdrometers in the frame of future ESA Earthcare mission, 17th Plinius Conference on Mediterranean Risks, Frascati, Rome, Italy, 12–15 Oct 2021, Plinius17-49, https://doi.org/10.5194/egusphere-plinius17-49, 2021.