We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Physically Based Precipitation-Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System.
- Authors
Tang, Lin; Zhang, Jian; Langston, Carrie; Krause, John; Howard, Kenneth; Lakshmanan, Valliappa
- Abstract
Polarimetric radar observations provide information regarding the shape and size of scatterers in the atmosphere, which help users to differentiate between precipitation and nonprecipitation radar echoes. Identifying and removing nonprecipitation echoes in radar reflectivity fields is one critical step in radar-based quantitative precipitation estimation. An automated algorithm based on reflectivity, correlation coefficient, and temperature data is developed to perform reflectivity data quality control through a set of physically based rules. The algorithm was tested with a large number of real data cases across different geographical regions and seasons and showed a high accuracy (Heidke skill score of 0.83) in segregating precipitation and nonprecipitation echoes. The algorithm was compared with two other operational and experimental reflectivity quality control methodologies and showed a more effective removal of nonprecipitation echoes and a higher computational efficiency. The current methodology also demonstrated a satisfactory performance in a real-time national multiradar and multisensor system.
- Subjects
RADAR cross sections; REAL-time control; ENVIRONMENTAL databases; POLARIMETRIC remote sensing; METEOROLOGICAL precipitation; DATA quality; COMPUTER algorithms
- Publication
Weather & Forecasting, 2014, Vol 29, Issue 5, p1106
- ISSN
0882-8156
- Publication type
Article
- DOI
10.1175/WAF-D-13-00072.1