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 13 条
  • [1] Application of multi-scale tracking radar echoes scheme in quantitative precipitation nowcasting
    Gaili Wang
    Waikin Wong
    Liping Liu
    Hongyan Wang
    Advances in Atmospheric Sciences, 2013, 30 : 448 - 460
  • [2] Application of multi-scale tracking radar echoes scheme in quantitative precipitation nowcasting
    Wang Gaili
    Wong Waikin
    Liu Liping
    Wang Hongyan
    ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 30 (02) : 448 - 460
  • [3] Improving the nowcasting of precipitation in an Alpine region with an enhanced radar echo tracking algorithm
    Mecklenburg, S
    Joss, J
    Schmid, W
    JOURNAL OF HYDROLOGY, 2000, 239 (1-4) : 46 - 68
  • [4] A Customized Multi-Scale Deep Learning Framework for Storm Nowcasting
    Yang, Shangshang
    Yuan, Huiling
    GEOPHYSICAL RESEARCH LETTERS, 2023, 50 (13)
  • [5] determination On the DWD quantitative precipitation analysis and nowcasting system for real-time application in German flood risk management
    Winterrath, Tanja
    Rosenow, Wolfgang
    Weigl, Elmar
    WEATHER RADAR AND HYDROLOGY, 2012, 351 : 323 - +
  • [6] A Nowcasting Model for Tropical Cyclone Precipitation Regions Based on the TREC Motion Vector Retrieval with a Semi-Lagrangian Scheme for Doppler Weather Radar
    Tang, Jingyin
    Matyas, Corene
    ATMOSPHERE, 2018, 9 (05):
  • [7] Nowcasting Multiparameter Phased-Array Weather Radar (MP-PAWR) Echoes of Localized Heavy Precipitation Using a 3D Recurrent Neural Network Trained with an Adversarial Technique
    Baron, Philippe
    Kawashima, Kohei
    Kim, Dong-Kyun
    Hanado, Hiroshi
    Kawamura, Seiji
    Maesaka, Takeshi
    Nakagawa, Katsuhiro
    Satoh, Shinsuke
    Ushio, Tomoo
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2023, 40 (07) : 803 - 821
  • [8] Improving precipitation nowcasting using a three-dimensional convolutional neural network model from Multi Parameter Phased Array Weather Radar observations
    Kim, Dong-Kyun
    Suezawa, Taku
    Mega, Tomoaki
    Kikuchi, Hiroshi
    Yoshikawa, Eiichi
    Baron, Philippe
    Ushio, Tomoo
    ATMOSPHERIC RESEARCH, 2021, 262
  • [9] The Concept of Multi-scale MT Interpretation Strategy and Its Application in Guizhou Province of China
    Gang Min
    Xuben Wang
    Jiecheng Zhang
    Kang Liu
    Huiling Yuan
    Pure and Applied Geophysics, 2022, 179 : 1037 - 1051
  • [10] The Concept of Multi-scale MT Interpretation Strategy and Its Application in Guizhou Province of China
    Min, Gang
    Wang, Xuben
    Zhang, Jiecheng
    Liu, Kang
    Yuan, Huiling
    PURE AND APPLIED GEOPHYSICS, 2022, 179 (03) : 1037 - 1051