A Theory-Based Hydrometeor Identification Algorithm for X-Band Polarimetric Radars

By Brenda Dolan, S. Rutledge. 2009

189 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/581b03ff685ed097be94f639606a34f7ce9d7bed

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. C. Hoose
4. Matthew R. Kumjian
5. Wojciech W. Grabowski
6. Olivier P. Prat
7. A. Fridlind
8. A. Korolev

In Environmental Engineering

1. Matthew R. Kumjian
2. S. Rutledge
3. Brenda Dolan
4. Olivier P. Prat
5. Hugh Morrison
6. Wojciech W. Grabowski
7. Venkatachalam Chandrasekar

Citations in the corpus

• Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…volume—these “hydrometeor classification” or “hydrometeor identification” algorithms provide some operational value in comparisons to simulations (e.g., Dolan & Rutledge, 2009; Liu & Chandrasekar, 2000; Park et al., 2009; Straka et al., 2000; Vivekanandan et al., 1999) but impose predefined…”
• A Robust C-Band Hydrometeor Identification Algorithm and Application to a Long-Term Polarimetric Radar Dataset (2013, background): “Despite some of these challenges, fuzzy logic–type classification algorithms have recently been adapted to shorter wavelengths, including X band (Dolan and Rutledge 2009, henceforth DR09) and C band (Meischner et al. 1991; Zrnic et al. 2000; Keenan et al. 2001; Schuur et al. 2001; Alberoni et al.…”