Improved Doppler Velocity Dealiasing for Radar Data Assimilation and Storm-Scale Vortex Detection
Abstract
The Doppler velocity dealiasing technique based on alias-robust VAD and variational (AR-Var) analyses developed at the National Severe Storms Laboratory for radar data quality control and assimilation is further improved in its two-step procedures: the reference check in the first step and the continuity check in the second step. In the first step, the alias-robust variational analysis is modified adaptively and used in place of the alias-robust velocity-azimuth display (VAD) analysis for all scan modes (rather than solely the WSR-88D volume coverage pattern 31 with the Nyquist velocityvNreduced below 12 m s−1and the TDWR Mod80 withvNreduced below 15 m s−1), so more raw data can pass the stringent threshold conditions used by the reference check in the first step. This improves the dealiased data coverage without false dealiasing to better satisfy the high data quality standard required by radar data assimilation. In the second step, new procedures are designed and added to the continuity check to increase the dealiased data coverage over storm-scale areas threatened by intense mesocyclones and their generated tornados. The performances of the improved dealiasing technique versus the existing techniques are exemplified by the results obtained for tornadic storms scanned by the operational KTLX radar in Oklahoma.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 01, 2013
- Source ID
- 10.1155/2013/562386
Entities
People
- Chris Karstens
- Kang Nai
- Qin Xu
- Qingyun Zhao
- Shun Liu
- Travis M. Smith
Organizations
- National Severe Storms Laboratory
- Office of Naval Research
- United States Naval Research Laboratory
- University of Oklahoma