Towards the Next Generation Operational Meteorological Radar

Author:

Weber Mark1,Hondl Kurt2,Yussouf Nusrat1,Jung Youngsun3,Stratman Derek1,Putnam Bryan3,Wang Xuguang3,Schuur Terry1,Kuster Charles1,Wen Yixin1,Sun Juanzhen4,Keeler Jeff4,Ying Zhuming4,Cho John5,Kurdzo James5,Torres Sebastian1,Curtis Chris1,Schvartzman David1,Boettcher Jami1,Nai Feng1,Thomas Henry5,Zrnić Dusan2,Ivić Igor1,Mirković Djordje1,Fulton Caleb6,Salazar Jorge6,Zhang Guifu7,Palmer Robert7,Yeary Mark6,Cooley Kevin8,Istok Michael8,Vincent Mark9

Affiliation:

1. Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/Office of Oceanic and Atmospheric Research/National Severe Storms Laboratory, Norman, Oklahoma

2. NOAA/Office of Oceanic and Atmospheric Research/National Severe Storms Laboratory, Norman, Oklahoma

3. School of Meteorology, University of Oklahoma, Norman, Oklahoma

4. National Center for Atmospheric Research, Boulder, Colorado

5. MIT Lincoln Laboratory, Lexington, Massachusetts

6. Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma

7. School of Meteorology, and Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma

8. NOAA/National Weather Service, Silver Spring, Maryland

9. NOAA/Office of Oceanic and Atmospheric Research, Silver Spring, Maryland

Abstract

AbstractThis article summarizes research and risk reduction that will inform acquisition decisions regarding NOAA’s future national operational weather radar network. A key alternative being evaluated is polarimetric phased-array radar (PAR). Research indicates PAR can plausibly achieve fast, adaptive volumetric scanning, with associated benefits for severe-weather warning performance. We assess these benefits using storm observations and analyses, observing system simulation experiments, and real radar-data assimilation studies. Changes in the number and/or locations of radars in the future network could improve coverage at low altitude. Analysis of benefits that might be so realized indicates the possibility for additional improvement in severe-weather and flash-flood warning performance, with associated reduction in casualties. Simulations are used to evaluate techniques for rapid volumetric scanning and assess data quality characteristics of PAR. Finally, we describe progress in developing methods to compensate for polarimetric variable estimate biases introduced by electronic beam-steering. A research-to-operations (R2O) strategy for the PAR alternative for the WSR-88D replacement network is presented.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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