WSR-88D Radar Data Processing at NCEP

Author:

Liu Shun12,DiMego Geoff2,Guan Shucai2,Kumar V. Krishna3,Keyser Dennis2,Xu Qin4,Nai Kang5,Zhang Pengfei5,Liu Liping56,Zhang Jian4,Howard Kenneth4,Ator Jeff2

Affiliation:

1. I. M. Systems Group, Inc., Rockville, Maryland

2. NOAA/National Centers of Environmental Prediction, College Park, Maryland

3. Riverside Technology Inc., NOAA/NESDIS/JCSDA, College Park, Maryland

4. NOAA/National Severe Storms Laboratory, Norman, Oklahoma

5. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma

6. Chinese Academy of Meteorological Sciences, Beijing, China

Abstract

Abstract Real-time access to level II radar data became available in May 2005 at the National Centers for Environmental Prediction (NCEP) Central Operations (NCO). Using these real-time data in operational data assimilation requires the data be processed reliably and efficiently through rigorous data quality controls. To this end, advanced radar data quality control techniques developed at the National Severe Storms Laboratory (NSSL) are combined into a comprehensive radar data processing system at NCEP. Techniques designed to create a high-resolution reflectivity mosaic developed at the NSSL are also adopted and installed within the NCEP radar data processing system to generate hourly 3D reflectivity mosaics and 2D-derived products. The processed radar radial velocity and 3D reflectivity mosaics are ingested into NCEP’s data assimilation systems to improve operational numerical weather predictions. The 3D reflectivity mosaics and 2D-derived products are also used for verification of high-resolution numerical weather prediction. The NCEP radar data processing system is described.

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference33 articles.

1. Radial wind super-obs from the WSR-88D radars in the NCEP operational assimilation system;Alpert;Mon. Wea. Rev.,2007

2. Carley, J. R. , 2012: Hybrid ensemble-3DVar radar data assimilation for the short-term prediction of convective storms. Ph.D. thesis, Purdue University, 206 pp. [Available online at http://docs.lib.purdue.edu/dissertations/AAI3544029/.]

3. The WSR-88D and the WSR-88D Operational Support Facility;Crum;Bull. Amer. Meteor. Soc.,1993

4. Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: Influences of reflectivity observations on storm-scale analyses;Dowell;Mon. Wea. Rev.,2011

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