Application of Multi-Scale Tracking Radar Echoes Scheme in Quantitative Precipitation Nowcasting

被引:0
|
作者
王改利 [1 ]
黄伟健 [2 ]
刘黎平 [1 ]
王红艳 [1 ]
机构
[1] State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Science
[2] Hong Kong Observatory
基金
中国国家自然科学基金;
关键词
multi-scale tracking; extrapolation; nowcasting;
D O I
暂无
中图分类号
P457.6 [降水预报];
学科分类号
0706 ; 070601 ;
摘要
A new radar echo tracking algorithm known as multi-scale tracking radar echoes by cross-correlation(MTREC) was developed in this study to analyze movements of radar echoes at different spatial scales.Movement of radar echoes,particularly associated with convective storms,exhibits different characteristics at various spatial scales as a result of complex interactions among meteorological systems leading to the formation of convective storms.For the null echo region,the usual correlation technique produces zero or a very small magnitude of motion vectors.To mitigate these constraints,MTREC uses the tracking radar echoes by correlation(TREC) technique with a large "box" to determine the systematic movement driven by steering wind,and MTREC applies the TREC technique with a small "box" to estimate small-scale internal motion vectors.Eventually,the MTREC vectors are obtained by synthesizing the systematic motion and the small-scale internal motion.Performance of the MTREC technique was compared with TREC technique using case studies:the Khanun typhoon on 11 September 2005 observed by Wenzhou radar and a squall-line system on 23 June 2011 detected by Beijing radar.The results demonstrate that more spatially smoothed and continuous vector fields can be generated by the MTREC technique,which leads to improvements in tracking the entire radar reflectivity pattern.The new multi-scale tracking scheme was applied to study its impact on the performance of quantitative precipitation nowcasting.The location and intensity of heavy precipitation at a 1-h lead time was more consistent with quantitative precipitation estimates using radar and rain gauges.
引用
收藏
页码:448 / 460
页数:13
相关论文
共 50 条
  • [31] Quantitative evaluation method and application of wettability of shale multi-scale storage space
    Fu, Xiaofei
    Wei, Jianguang
    Hou, Zhaowei
    Wang, Anlun
    Zhou, Xiaofeng
    Yang, Ying
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 89 : 541 - 569
  • [32] SPECTRAL MULTI-SCALE ANALYSIS FOR MULTI-PITCH TRACKING
    Ben Messaoud, Mohamed Anouar
    Bouzid, Aicha
    Ellouze, Noureddine
    2009 IEEE 13TH DIGITAL SIGNAL PROCESSING WORKSHOP & 5TH IEEE PROCESSING EDUCATION WORKSHOP, VOLS 1 AND 2, PROCEEDINGS, 2009, : 26 - 31
  • [33] Multi-Scale Behavior Learning for Multi-Object Tracking
    Liu Wancun
    Tang Wenyan
    Zhang Liguo
    Zhang Xiaolin
    Li Jiafu
    PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017), 2017, : 639 - 643
  • [34] Multi-Scale Variability and Trends of Precipitation in North China
    Ip, W. Ch
    Zhang, L.
    Wong, H.
    Xia, J.
    WATER RESOURCES, 2011, 38 (01) : 18 - 28
  • [35] Multi-scale variability and trends of precipitation in North China
    W. Ch. Ip
    L. Zhang
    H. Wong
    J. Xia
    Water Resources, 2011, 38 : 18 - 28
  • [36] Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning
    Han, Daehyeon
    Im, Jungho
    Shin, Yeji
    Lee, Juhyun
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2023, 16 (20) : 5895 - 5914
  • [37] Nationwide Radar-Based Precipitation Nowcasting - A Localization Filtering Approach and its Application for Germany
    Reinoso-Rondinel, Ricardo
    Rempel, Martin
    Schultze, Markus
    Tromel, Silke
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15 : 1670 - 1691
  • [38] Nationwide Radar-Based Precipitation Nowcasting - A Localization Filtering Approach and its Application for Germany
    Reinoso-Rondinel, Ricardo
    Rempel, Martin
    Schultze, Markus
    Troemel, Silke
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 1670 - 1691
  • [39] Application of Micro Rain Radar for supporting quantitative weather radar precipitation measurements
    Peters, Gerhard
    Markmann, Piet
    Kirtzel, Hans-Juergen
    2020 IEEE RADAR CONFERENCE (RADARCONF20), 2020,
  • [40] Multi-scale tracking dynamics and optimal index replication
    Li, Q.
    Bao, L.
    Zhang, Q. L.
    APPLIED ECONOMICS LETTERS, 2014, 21 (04) : 252 - 256