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风廓线雷达与天气雷达风廓线数据的融合及应用

阮征 高祝宇 李丰 葛润生

气象2017,Vol.43Issue(10):1213-1223,11.
气象2017,Vol.43Issue(10):1213-1223,11.DOI:10.7519/j.issn.1000-0526.2017.10.005

风廓线雷达与天气雷达风廓线数据的融合及应用

Integration and Application of Wind Profiles for Wind-Profiling Radar and Weather Radar

阮征 1高祝宇 2李丰 1葛润生1

作者信息

  • 1. 中国气象科学研究院灾害天气国家重点实验室,北京100081
  • 2. 浙江省气象局信息网络中心,杭州310008
  • 折叠

摘要

Abstract

Upper-level wind data can be derived from wind-profiling radar (WPR) network and Doppler radar network.In order to apply upper-level wind data comprehensively to make full use of radar network in the field of weather analysis and numerical forecast,comparison and integration analysis of wind profiles for WPR and weather radar are conducted.After evaluating the utility and feasibility of WPR data and VAD wind profiles (VWP) by comparing with vertical profiles of horizontal winds provided from rawinsonde located in the southern suburbs of Beijing in July 2015,this paper analyzes differences of temporal and spatial representation of the two upper-level wind data.Furthermore,different periods of WPR data are compared with VWP data to decide the optimal time resolution for integration analysis of the two kinds of wind data.Then,integration analysis is conducted by merging wind component measurements for WPR network and Doppler radar network of Guangdong Province in May 2014.The results indicate that WPR and rawinsonde data are in good agreement with root mean square error (RMSE) 2.3 m · s-1,and VWP data concides with RMSE 2.5 m · s-1.RMSE of 60 min averaged WPR data and VWP data is the lowest by comparing with that of 30 min averaged data and 6 min averaged data,and the optimal time scale for integration analysis is 60 min.Objective integration analysis field of wind data derived from WPR network and Doppler radar network can enrich the mesoscale wind field information,especially at low level.

关键词

风廓线雷达/多普勒天气雷达风廓线/高空风比对/高空风融合

Key words

wind-profiling radar (WPR)/wind profiles of Doppler weather radar/high-level wind comparison/high-level wind integration

分类

天文与地球科学

引用本文复制引用

阮征,高祝宇,李丰,葛润生..风廓线雷达与天气雷达风廓线数据的融合及应用[J].气象,2017,43(10):1213-1223,11.

基金项目

国家自然科学基金项目(41475029)、公益性行业(气象)科研专项(GYHY201306004)和中国气象局数值预报(GRAPES)发展专项(2016)共同资助 (41475029)

气象

OA北大核心CSCDCSTPCD

1000-0526

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