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Graduate Exam Abstract


Delbert Willie

Ph.D. Final

March 13, 2015, 1:00 pm - 3:00 pm

ENGRG B214

Radar Multi-Sensor Quantitative Precipitation Estimation


Abstract: The establishment of quantitative precipitation estimation (QPE) continues to be one of the principal objectives for weather researchers and forecasters. The ability of radar to measure broad spatial areas in short temporal successions encourages its application in the pursuit of accurate rainfall estimation, where radar reflectivity- rainfall (Z-R) relations have been traditionally used to derive quantitative precipitation estimation. The purpose of this effort is to present the organization of a regional dual polarization QPE process known as the RAdar Multi- Sensor QPE (RAMS QPE). This scheme applies the unique dual polarimetric radar rain rate estimation algorithms developed at Colorado State University into an adaptable QPE system. The methodologies used to combine individual radar scans and then merge them into a mosaic are described. The implementation and evaluation is performed over a domain that occurs within a complex terrain environment, such that local radar coverage is compromised by blockage. This area of interest is concentrated around the Pigeon River Basin near Asheville, NC. In this mountainous locale, beam blockage, beam overshooting, orographic enhancement, and the unique climactic conditions complicate the development of reliable QPE’s from radar. The derived QPE precipitation fields evaluated in this analysis will stem from the dual polarimetric radar data obtained from the local NWS WSR-88DP radars as well as the NASA NPOL research radar.

Adviser: Dr. Chandrasekar
Co-Adviser: N/A
Non-ECE Member: Dr. Paul Mielke
Member 3: Dr. Anura Jayasumana
Addional Members: Dr. Branislav Notaros

Publications:
“Evaluation Of Multisensor Quantitative Precipitation Estimation In The Russian River Basin”, Inter-national Weather Radar and Hydrology Symposium, Reston, VA, USA, April. 2014.

“Assessment of Multi-Sensor Quantitative Precipitation in the Russian River Basin”, AMS 36th Conference on Radar Meteorology, Breckenridge, CO, USA, Sept. 2013.

“Evaluation of Multi-Sensor Quantitative Precipitation Estimation Methodologies”, International Geo-science and Remote Sensing Symposium, Melbourne, Australia, July 2013.

“Two-Year Assessment of Nowcasting Performance in the CASA System”, International Geoscience and Remote Sensing Symposium, Vancouver, Canada, July 2011.

“Attenuation Margin Requirements in a Networked Radar System for Observation of Precipitation”, International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, July 2009.

“Operational Evaluation of the Real-Time Attenuation Correction System for CASA IP1 Testbed”, AMS 33rd Conference on Radar Meteorology, Cairns, Australia, Aug., 2007.

“Attenuation Statistics for X-Band Radar Design”, International Geoscience and Remote Sensing Symposium, Seoul, South Korea, July 2005


Program of Study:
ST 511
EE 581
EE 520
EE 641
EE 642
EE 742
N/A
N/A