Welcome to MPTRAC!
Massive-Parallel Trajectory Calculations (MPTRAC) is a state-of-the-art Lagrangian particle dispersion model designed to analyze atmospheric transport processes in the free troposphere and stratosphere. Leveraging high-performance computing techniques, MPTRAC efficiently handles large-scale trajectory simulations, making it a powerful tool for both research and operational applications.
Features
MPTRAC offers a wide range of features to support comprehensive atmospheric modeling and analysis:
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Trajectory Calculations: Computes air parcel trajectories by solving the kinematic equation of motion using specified horizontal wind and vertical velocity fields.
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Mesoscale Diffusion and Stochastic Perturbations: Models mesoscale diffusion and sub-grid scale wind fluctuations with the Langevin equation, incorporating stochastic perturbations to enhance simulation realism.
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Advanced Process Modules: Simulates a range of atmospheric processes, including convection, sedimentation, exponential decay, gas and aqueous phase chemistry, as well as wet and dry deposition.
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Meteorological Data Pre-processing: Provides tools to calculate boundary layer characteristics, convective available potential energy (CAPE), geopotential heights, potential vorticity, and tropopause data.
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Comprehensive Output and Visualization: Supports multiple output formats such as particle, ensemble, gridded, sample, and station data. Includes direct visualization through the Gnuplot interface.
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High-Performance Parallelization: Leverages MPI-OpenMP-OpenACC hybrid parallelization for efficient execution on workstations, high-performance computing clusters, and GPU systems.
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Open Source and Collaborative Development: Released under the GNU General Public License (GPL), promoting community involvement and open development.
Get Involved
We encourage collaboration and welcome contributions from the research community. Feel free to reach out if you have questions, suggestions, or need support with MPTRAC.
Contact
Dr. Lars Hoffmann
Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany
e-mail: l.hoffmann@fz-juelich.de