Articles | Volume 18, issue 5
https://doi.org/10.5194/amt-18-1269-2025
https://doi.org/10.5194/amt-18-1269-2025
Research article
 | 
13 Mar 2025
Research article |  | 13 Mar 2025

Mid-Atlantic nocturnal low-level jet characteristics: a machine learning analysis of radar wind profiles

Maurice Roots, John T. Sullivan, and Belay Demoz

Viewed

Total article views: 1,633 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,322 241 70 1,633 74 125
  • HTML: 1,322
  • PDF: 241
  • XML: 70
  • Total: 1,633
  • BibTeX: 74
  • EndNote: 125
Views and downloads (calculated since 29 Apr 2024)
Cumulative views and downloads (calculated since 29 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,633 (including HTML, PDF, and XML) Thereof 1,525 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 2025
Download
Short summary

This paper presents a supervised-machine-learning approach for the automatic isolation of nocturnal low-level jets (NLLJs) using observations from a radar wind profiler. This analysis isolated 90 southwesterly NLLJs observed from May to September 2017–2021, highlighting key features in the evolution and morphology of the mid-Atlantic NLLJ.

Share