Articles | Volume 14, issue 1
Atmos. Meas. Tech., 14, 199–221, 2021
Atmos. Meas. Tech., 14, 199–221, 2021

Research article 12 Jan 2021

Research article | 12 Jan 2021

McRALI: a Monte Carlo high-spectral-resolution lidar and Doppler radar simulator for three-dimensional cloudy atmosphere remote sensing

Frédéric Szczap et al.

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Cited articles

Alkasem, A., Szczap, F., Cornet, C., Shcherbakov, V., Gour, Y., Jourdan, O., Labonnote, L. C., and Mioche, G.: Effects of cirrus heterogeneity on lidar CALIOP/CALIPSO data, J. Quant. Spectrosc. Ra., 202, 38–49,, 2017. 
Amayenc, P., Marzoug, M., and Testud, J.: Analysis of cross-beam resolution effects in rainfall rate profile retrieval from a spaceborne radar, IEEE T. Geosci. Remote, 31, 417–425,, 1993. 
Ansmann, A., Wandinger, U., Le Rille, O., Lajas, D., and Straume, A. G.: Particle backscatter and extinction profiling with the spaceborne high-spectral-resolution Doppler lidar ALADIN: methodology and simulations, Appl. Optics, 46, 6606,, 2007. 
Battaglia, A. and Tanelli, S.: DOMUS: Doppler Multiple-Scattering Simulator, IEEE T. Geosci. Remote, 49, 442–450,, 2011. 
Battaglia, A., Ajewole, M. O., and Simmer, C.: Evaluation of Radar Multiple-Scattering Effects from a GPM Perspective. Part I: Model Description and Validation, J. Appl. Meteorol. Clim., 45, 1634–1647,, 2006. 
Short summary
Spaceborne lidar and radar are suitable tools to investigate cloud vertical properties on a global scale. This paper presents the McRALI code that provides simulations of lidar and radar signals from the EarthCARE mission. Regarding radar signals, cloud heterogeneity induces a severe bias in velocity estimates. Regarding lidar signals, multiple scattering is not negligible. Our results also give some insight into the reliability of lidar signal modeling using independent column approximation.