The Hydrometeor Classification Algorithm for the Polarimetric WSR-88D: Description and Application to an MCS
By HyangSuk Park, Alexander V. Ryzhkov, Dusan S. Zrnic, Kyung-Eak Kim. 2009
474 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/38e99613ac1648285e754769fe17fef28237890f
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
- Hugh Morrison
- Matthew R. Kumjian
- Jason A. Milbrandt
- C. Hoose
- Wojciech W. Grabowski
- Alexander V. Ryzhkov
- A. Korolev
- Olivier P. Prat
In Environmental Engineering
- Matthew R. Kumjian
- S. Rutledge
- Brenda Dolan
- Alexander V. Ryzhkov
- Olivier P. Prat
- Hugh Morrison
- Alexander Khain
- Wojciech W. Grabowski
Citations in the corpus
- The Impact of Size Sorting on the Polarimetric Radar Variables (2012, methodology): “The importance of such features led to the inclusion of a ‘‘big drops’’ category in the polarimetric hydrometeor classification algorithm to be implemented in the nationwide Weather Surveillance Radar-1988 Doppler (WSR-88D) radar network dualpolarization upgrade (e.g., Straka et al. 2000; Park et al”
- Polarimetric Radar Characteristics of Melting Hail. Part I: Theoretical Simulations Using Spectral Microphysical Modeling (2013, methodology): “…of the hydrometeor classification algorithm (HCA) developed at the National Severe Storms Laboratory for polarimetrically upgraded Weather Surveillance Radar-1988 Doppler (WSR-88D) instruments detects ‘‘rain mixed with hail’’ (Park et al. 2009) and does not distinguish between large and small hail.”
- A Robust C-Band Hydrometeor Identification Algorithm and Application to a Long-Term Polarimetric Radar Dataset (2013, background): “This can be indicative of specific microphysical conditions and can be useful for forecasting purposes (Ryzhkov et al. 2005c; Kumjian and Ryzhkov 2008; Park et al. 2009).”
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “Some approaches simplify this exercise into the labeling of the “dominant” hydrometeor species in an observed volume—these “hydrometeor classification” or “hydrometeor identification” algorithms provide some operational value in comparisons to simulations (e.g., Dolan & Rutledge, 2009; Liu & Chandra”