Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3333-2021
https://doi.org/10.5194/amt-14-3333-2021
Research article
 | Highlight paper
 | 
06 May 2021
Research article | Highlight paper |  | 06 May 2021

Assimilation of DAWN Doppler wind lidar data during the 2017 Convective Processes Experiment (CPEX): impact on precipitation and flow structure

Svetla Hristova-Veleva, Sara Q. Zhang, F. Joseph Turk, Ziad S. Haddad, and Randy C. Sawaya

Viewed

Total article views: 2,817 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,344 424 49 2,817 53 50
  • HTML: 2,344
  • PDF: 424
  • XML: 49
  • Total: 2,817
  • BibTeX: 53
  • EndNote: 50
Views and downloads (calculated since 23 Dec 2020)
Cumulative views and downloads (calculated since 23 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,817 (including HTML, PDF, and XML) Thereof 2,714 with geography defined and 103 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
The assimilation of airborne-based three-dimensional winds into a mesoscale weather forecast model resulted in better agreement with airborne radar-derived precipitation 3-D structure at later model time steps. More importantly, there was also a discernible impact on the resultant wind and moisture structure, in accord with independent analysis of the wind structure and external satellite observations.