MPTRAC vs PyTurbo_SF
MPTRAC
slcs-jsc.github.ioPyTurbo_SF
pyturbo-sf.readthedocs.ioSide by side
| Figure | MPTRAC | PyTurbo_SF |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Physics Simulation Software | 8.7 (#7) | 7.6 (#54) |
| Data export | Yes | Yes |
| Delivery mode | hybrid | desktop |
| Free plan | Yes | Yes |
| Integrations | The documentation describes visualization interfaces for Gnuplot and ParaView and output formats that support integration with the CLaMS model. | Required dependencies include NumPy, xarray, SciPy, pandas, and joblib; optional packages include matplotlib, Dask, Zarr, and netCDF4. |
| Purpose | MPTRAC is a Lagrangian particle dispersion model for analyzing atmospheric transport in the free troposphere and stratosphere. | PyTurbo_SF is a Python package for efficient structure-function calculations on 1D, 2D, and 3D data, including turbulent-flow analysis. |
| Support | The project directs questions, support, and collaboration inquiries to Dr. Lars Hoffmann at the Jülich Supercomputing Centre. | For installation issues, the guide directs users to GitHub Issues and community discussions. |
Plans
In their own words
MPTRAC
MPTRAC is a Lagrangian particle dispersion model for studying atmospheric transport in the free troposphere and stratosphere. It calculates forward and backward air-parcel trajectories from meteorological wind fields, with stochastic diffusion, subgrid wind variation and mixing between parcels. Optional process parameterizations cover convection, sedimentation, decay, gas-phase and aqueous-phase chemistry, and wet and dry deposition. Listed research applications include long-range pollutant transport, volcanic ash dispersion, tracer experiments and atmospheric chemistry.
The browser-based Web Runner can configure, run and visualize simulations, then download results without local installation. It is limited to 10,000 air parcels, 30 days and 10 minutes of model runtime. The model needs meteorological input, normally netCDF files on a regular pressure, longitude and latitude grid. MPTRAC supports hybrid MPI, OpenMP and OpenACC parallelization, and offers visualization interfaces for Gnuplot and ParaView. It is GPL-3.0 software for Linux, self-hosted and web use; listed pricing includes free.
PyTurbo_SF
PyTurbo_SF has no write-up on Specifiction yet; its figures are above.