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

Data sets

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Model code and software

BTrIMSv1.1_original Yinglin Mu https://doi.org/10.5281/zenodo.15703767

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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.
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