Articles | Volume 15, issue 5
https://doi.org/10.5194/gmd-15-1875-2022
https://doi.org/10.5194/gmd-15-1875-2022
Methods for assessment of models
 | 
07 Mar 2022
Methods for assessment of models |  | 07 Mar 2022

A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models

Jessica Keune, Dominik L. Schumacher, and Diego G. Miralles

Data sets

Datasets for “A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models” (v1.2.0) Jessica Keune, Dominik L. Schumacher, and Diego G. Miralles https://doi.org/10.5281/zenodo.5793038

Model code and software

HAMSTER v.1.2.0: Heat- And MoiSture Tracking framEwoRk (h-cel/hamster) Jessica Keune, Dominik L. Schumacher, and Diego G. Miralles https://doi.org/10.5281/zenodo.5788506

Source code for ‘A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models’ (v1.2) Jessica Keune, Dominik L. Schumacher, and Diego G. Miralles https://doi.org/10.5281/zenodo.5793140

Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2 (https://www.flexpart.eu/downloads/8) A. Stohl, C. Forster, A. Frank, P. Seibert, and G. Wotawa https://doi.org/10.5194/acp-5-2461-2005

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Short summary
Air transports moisture and heat, shaping the weather we experience. When and where was this air moistened and warmed by the surface? To address this question, atmospheric models trace the history of air parcels in space and time. However, their uncertainties remain unexplored, which hinders their utility and application. Here, we present a framework that sheds light on these uncertainties. Our approach sets a new standard in the assessment of atmospheric moisture and heat trajectories.