Articles | Volume 15, issue 16
https://doi.org/10.5194/amt-15-4951-2022
https://doi.org/10.5194/amt-15-4951-2022
Research article
 | 
30 Aug 2022
Research article |  | 30 Aug 2022

Sensitivity analysis of DSD retrievals from polarimetric radar in stratiform rain based on the μ–Λ relationship

Christos Gatidis, Marc Schleiss, and Christine Unal

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Cited articles

Adirosi, E., Volpi, E., Lombardo, F., and Baldini, L.: Raindrop size distribution: Fitting performance of common theoretical models, Adv. Water Res., 96, 290–305, https://doi.org/10.1016/j.advwatres.2016.07.010, 2016. a
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Ocean. Technol., 27, 333–344, https://doi.org/10.1175/2009JTECHA1332.1, 2010. a
Berne, A. and Schleiss, M.: Retrieval of the rain drop size distribution using telecommunication dual-polarization microwave links, 34th Conference on Radar Meteorology, Williamsburg, VA, USA, October 2009, American Meteorological Society, https://ams.confex.com/ams/34Radar/techprogram/paper_155668.htm (last access: 9 October 2009), 2009. a
Bringi, V. N. and Chandrasekar, V.: Polarimetric Doppler Weather Radar: Principles and Applications, Cambridge University Press, https://doi.org/10.1017/CBO9780511541094, 2001. a, b
Bringi, V. N., Huang, G.-J., Chandrasekar, V., and Gorgucci, E.: A Methodology for Estimating the Parameters of a Gamma Raindrop Size Distribution Model from Polarimetric Radar Data: Application to a Squall-Line Event from the TRMM/Brazil Campaign, J. Atmos. Ocean. Technol., 19, 633–645, https://doi.org/10.1175/1520-0426(2002)019<0633:AMFETP>2.0.CO;2, 2002. a
Short summary
Knowledge of the raindrop size distribution (DSD) is crucial for understanding rainfall microphysics and quantifying uncertainty in quantitative precipitation estimates. In this study a general overview of the DSD retrieval approach from a polarimetric radar is discussed, highlighting sensitivity to potential sources of errors, either directly linked to the radar measurements or indirectly through the critical modeling assumptions behind the method such as the shape–size (μ–Λ) relationship.