Atmospheric Radar Research Seminar
The goal of the seminar is for students to share their recent research results
with others and to get to know other students and faculty in the similar research area.
The presentation is 20 min and 10 min for questions and discussions.
The seminar starts from 13:00 at NWC 1350.
The presentation is 20 min and 10 min for questions and discussions.
The seminar starts from 13:00 at NWC 1350.
The specific information on this seminar is obtained on
ARRC Seminar Plans
[Accept iCalendar (for iCal, Office...) and RSS feeder] (Temporarially offline...)
and NWC Seminar Series.
Contact:
| Tian You Yu (tyu@ou.edu) for general |
| Benjamin Root (ben.root@ou.edu) for this website |
Next Seminar
| April 24 | Jeff Snyder |
|---|---|
| Title | Attenuation Correction Techniques and Hydrometeor Classification of High-Resolution, X-Band, Dual-Polarized Mobile Radar Data of Severe Convective Storms |
| Abstract(s) | X-band weather radar systems are better suited for mobile platforms than lower frequency systems because a narrow-beam antenna can be much smaller. Simulations have shown, however, that attenuation is 1 (2) order(s) of magnitude larger at X-band than at C-band (S-band). Dual-polarization provides several methods by which this attenuation (and differential attenuation) can be detected and corrected, mitigating one of the primary disadvantages of X-band radars. The dynamics of severe convective storms depend, to some extent, on the distribution and type of hydrometeors within the storm. In order to estimate the three-dimensional distribution of hydrometeors using X-band radar data, it is necessary to correct for attenuation before applying any hydrometeor classification system. Since 2002, a mobile, dual-polarized Doppler weather radar designed at the University of Massachusetts - Amherst has been used to collect high-resolution data in severe convective storms in the Plains. This study tests several attenuation correction procedures using dual-polarization measurements, along with a dual-frequency method using WSR-88D and KOUN data. After correcting for attenuation and differential attenuation, a fuzzy logic hydrometeor classification algorithm, modified for X-band with KOUN data as a reference, is used to attempt a retrieval of hydrometeor types in observed severe convective storms. Hydrometeor classification of high-resolution radar data in close proximity to supercells and tornadoes may help shed light on the dynamical processes of cold pools in supercells, as well as provide a form of verification to which numerical models can be compared. |