Improving Parameterization of Rain Microphysics with Disdrometer and Radar Observations

By Guifu Zhang, Juanzhen Sun, Edward Brandes. 2006

146 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/4ac31be95e2fa9de93e9dd0a6cfe08703d5fdcc4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Hugh Morrison
2. Jason A. Milbrandt
3. Matthew R. Kumjian
4. Olivier P. Prat
5. C. Hoose
6. Wojciech W. Grabowski
7. Guifu Zhang
8. Edward Brandes

In Environmental Engineering

1. Guifu Zhang
2. Edward Brandes
3. Olivier P. Prat
4. Qing Cao
5. Matthew R. Kumjian
6. Terry Schuur
7. Hugh Morrison
8. Wojciech W. Grabowski

Citations in the corpus

• Polarimetric Radar Rain Estimation through Retrieval of Drop Size Distribution Using a Bayesian Approach (2010, methodology): “There have been many successful applications of the C-G model (e.g., Brandes et al. 2004a,b; Vivekanandan et al. 2004; Zhang et al. 2006; Cao et al. 2008).”
• The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables (2014, background): “Indeed, simulated Z DR values for the highest rainfall rates considered lie outside the bounds of published disdrometer observations from Florida.”
• Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…Brandes et al., 2001; Bringi et al., 2001; Cifelli et al., 2011; Giangrande & Ryzhkov, 2008; Illingworth & Caylor, 1989; Matrosov et al., 2002; Ryzhkov et al., 2005, 2014; Ryzhkov & Zrnic, 1996) and rain drop size properties (Ryzhkov & Zrnic, 2019; Vivekanandan et al., 2004; Zhang et al., 2006).”