MPTRAC: A high-performance Lagrangian transport model for atmospheric air parcel dispersion

Hoffmann, Lars; Liu, Mingzhao; Griessbach, Sabine; Zou, Ling; Meyer, Catrin; Wittwer, Nils Nobre; Lu, Yen-Sen; Heng, Yi; Mood, Kaveh Haghighi; Khosrawi, Farahnaz; Wu, Xue; Clemens, Jan

doi:10.21105/joss.08177

Journal Article

FZJ-2025-03019

MPTRAC: A high-performance Lagrangian transport model for atmospheric air parcel dispersion

Hoffmann, L. (Corresponding author)FZJ* ; Clemens, J.FZJ* ; Griessbach, S.FZJ* ; Mood, K. H.FZJ* ; Heng, Y. ; Khosrawi, F.FZJ* ; Liu, M. ; Lu, Y.-S.FZJ* ; Meyer, C.FZJ* ; Wittwer, N. N.FZJ* ; Wu, X. ; Zou, L.

2025
The Open Journal

The journal of open source software 10(111), 8177 (2025) [10.21105/joss.08177]

This record in other databases:

Please use a persistent id in citations: doi:10.21105/joss.08177 doi:10.34734/FZJ-2025-03019

Abstract: The Massive-Parallel Trajectory Calculations (MPTRAC) Lagrangian transport model (Hoffmann et al., 2016, 2022) simulates the movement, dispersion, and chemical transformation of aerosols and trace gases in the atmosphere. Unlike grid-based models, MPTRAC tracks individual air parcels, providing high-resolution insights into transport, mixing, chemistry, and deposition. Trajectory calculations are driven by meteorological fields from data assimilation systems and forecast models. MPTRAC has been applied in various contexts, especially for tracking volcanic plumes in the troposphere and stratosphere. Optimized for high-performancecomputing (HPC) and graphics processing units (GPU), MPTRAC efficiently supports large-scale, high-resolution simulations, making it a powerful tool for atmospheric research.

Classification: