ISSN 1000-0526
CN 11-2282/P
Experiments and Verification on Doppler Radar Network Retrieval Wind Fields using IVAP Method
Author:
Affiliation:

Inner Mongolia Meteorological Observatory、State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences,

Clc Number:

Fund Project:

The National Natural Science Foundation of China (Key Program42030604)、Inner Mongolia Meteorological Bureau technological innovation project(nmqxkjcx202439) 、Inner Mongolia science and technology programs(2022YFSH0009)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The wind field observation play an important role in the weather research and forecasting. The IVAP technique which is based on the azimuth uniform assumption retrieval relationship, offers good compatibility and practical simplicity for 2-D wind field retrieval. This paper selected the large-scale precipitation event from July to August 2020, established the wind fields based on the operational Doppler radar network using the IVAP technique, and used the secondly radiosonde data as a reference to conduct a quality assessment and analysis of the retrieved wind fields. The results indicate that: retrieved wind fields of Doppler radar network have high correlation with radiosonde data, and the quality of wind direction is better than the wind speed on higher altitude. The quality of the retrieved winds are better in the areas with precipitation than non-precipitation areas. The quality is worst in clear sky areas, especially when the altitude is higher than 4 km. The retrieved winds of a scattered precipitation event on 6 July 2019 demonstrate that the vortex structure, shear line and other dynamic field characteristics were captured. This study shows that based on the single Doppler radar wind retrieval, the IVAP technique has the ability to retrieve wind fields of Doppler radar network. This method has good application prospect in practical operations, and can provide a better basis for weather forecasting services as well as wind field data assimilation.

    Reference
    Related
    Cited by
Get Citation
分享
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 19,2023
  • Revised:July 04,2024
  • Adopted:July 08,2024
  • Online: July 08,2024
  • Published:

WeChat

Mobile website