EGU24-2652, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-2652
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

FLEXPART-11: Advancements in a Lagrangian Atmospheric Model for Enhanced Accuracy, Efficiency, and Flexibility

Lucie Bakels1, Daria Tatsii1, Anne Tipka2, Marina Dütsch1, Michael Blaschek1, Silvia Bucci1, Andreas Plach1, Martin Vojta1, Petra Seibert1,3, Ignacio Pisso4, Sabine Eckhardt4, Massimo Cassiani4, Christine Groot Zwaaftink4, Marie Mulder5, and Andreas Stohl1
Lucie Bakels et al.
  • 1University of Vienna, Meteorology and Geophysics, Vienna, Austria (lucie.bakels@univie.ac.at)
  • 2CTBTO, Comprehensive Nuclear-Test-Ban Treaty Organization, Vienna, Austria
  • 3BOKU, University of Natural Resources and Life Sciences, Institute of Meteorology and Climatology, Vienna, Austria
  • 4NILU, Norwegian Institute for Air Research, Kjeller, Norway
  • 5Geosphere Austria, Vienna, Austria

Numerical methods and advanced simulation codes play a crucial role in helping us understand complex atmospheric processes. As technology progresses, it's important to develop sophisticated code for accurate and efficient simulations. In this update to FLEXPART, a Lagrangian model used in numerous studies for the past 30 years, we've made significant improvements. This version of FLEXPART shows improvements in accuracy and computational efficiency. By using native ECMWF coordinates, we reduced conservation errors by about 8-10% for semi-conserved quantities like potential vorticity. The shape of aerosol particles are now properly accounted for, greatly improving the accuracy of the deposition of non-spherical particles (e.g. microplastic fibers). Additionally, the incorporation of OpenMP parallelisation makes the model better suited for handling large input data and extended simulation periods. We've also introduced new methods for the input and output of particles in FLEXPART. Users can now run FLEXPART with their own particle input data, making it more adaptable for specific research scenarios.

How to cite: Bakels, L., Tatsii, D., Tipka, A., Dütsch, M., Blaschek, M., Bucci, S., Plach, A., Vojta, M., Seibert, P., Pisso, I., Eckhardt, S., Cassiani, M., Groot Zwaaftink, C., Mulder, M., and Stohl, A.: FLEXPART-11: Advancements in a Lagrangian Atmospheric Model for Enhanced Accuracy, Efficiency, and Flexibility, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2652, https://doi.org/10.5194/egusphere-egu24-2652, 2024.