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Using Space-Borne Radar Data to Correcting Calibration Errors in Ground-Based Radar
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Affiliation:

1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China Meteorological Administration Key Laboratory for Aerosol-Cloud-Precipitation, Nanjing University of Information Science and Technology, Nanjing 210044;2.Shanghai Typhoon Institute, China Meterological Administration, Shanghai 200030;3.Beijing Municipal Weather Modification Office, Beijing100089

Fund Project:

National Natural Science Foundation of China Grants 41675028 41275043 41775064 41475060;Special Scientific Research Fund for Public Welfare Profession of China Grant GYHY201306078;Key Program for International S&T Cooperation Projects of China Grant 2017YFE0107700;National Key R&D Program of China Grants 2018YFC1506303 and 2018YFC1506403;A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education InstitutionsNational Natural Science Foundation of China (Grants 41675028, 41275043, 41775064, and 41475060), Special Scientific Research Fund for Public Welfare Profession of China (Grant GYHY201306078), Key Program for International S&T Cooperation Projects of China (Grant 2017YFE0107700), National Key R&D Program of China (Grants 2018YFC1506303 and 2018YFC1506403), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

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    Abstract:

    A Calibration error is among the main causes of errors in the quantitative application of radar reflectivity. In this study, the stable and continue doperation of along-term space-borne radar (Precipitation Radar carried by the Tropical Rainfall Measuring Mission satellite, TRMM/PR) was verified. Reflectivity data from the space-borne radar were converted from Ku-band to S-band. By comparing the reflectivity data gathered from the space-borne radar and Nanjing radarover the same period for different types of precipitation (stratiform or convective) at different altitudes (relative to the position of melting layer, ML), it was determined that there was a high correlation between the two radars' observations and a stable difference in stratiform precipitation below the ML. Further, the regression relationship between reflectivity factor values observed by the PR and Nanjing radar was obtained by comparing and analyzing the reflectivity factors of stratiform precipitation under the ML. Consequently, the regression between the two radar reflectivity factors provided a linear correction which was then applied to the reflectivity of the Nanjing radar. Rain gage data employed to verify this correction revealed that the precipitation estimated using GR reflectivity data with correction was closer to the rain gage observations than without.

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张帅,王振会,赵兵科,陈羿辰.2019.星载雷达在订正地基天气雷达标定误差中的应用[J].气候与环境研究,24(5):576-584. ZHANG Shuai, WANG Zhenhui, ZHAO Bingke, CHEN Yichen.2019. Using Space-Borne Radar Data to Correcting Calibration Errors in Ground-Based Radar[J]. Climatic and Environmental Research (in Chinese],24(5):576-584.

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History
  • Received:September 03,2018
  • Revised:
  • Adopted:
  • Online: October 24,2019
  • Published: