Articles | Volume 19, issue 3
https://doi.org/10.5194/gmd-19-1367-2026
https://doi.org/10.5194/gmd-19-1367-2026
Development and technical paper
 | 
12 Feb 2026
Development and technical paper |  | 12 Feb 2026

Refining the Lagrangian approach for moisture source identification through sensitivity testing of assumptions using BTrIMS1.1

Yinglin Mu, Jason P. Evans, Andréa S. Taschetto, and Chiara Holgate

Viewed

Total article views: 2,803 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,427 307 69 2,803 137 74 69
  • HTML: 2,427
  • PDF: 307
  • XML: 69
  • Total: 2,803
  • Supplement: 137
  • BibTeX: 74
  • EndNote: 69
Views and downloads (calculated since 22 Jul 2025)
Cumulative views and downloads (calculated since 22 Jul 2025)

Viewed (geographical distribution)

Total article views: 2,803 (including HTML, PDF, and XML) Thereof 2,755 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Apr 2026
Download
Short summary
Lagrangian approaches have been increasingly employed due to their suitability for extreme events and climatological studies in finding moisture sources of precipitation. However, as these approaches track independent air parcels carrying moisture – rather than simulate processes based on governing physical equations – they rely on several underlying assumptions. This study tests these assumptions and refines the approaches to enhance their broader applicability.
Share