Published May 2024 | Version v7
Model Open

Open-Source Stand-Alone Version of Atmospheric Model Aeolus 2.0 Software

  • 1. ROR icon Potsdam Institute for Climate Impact Research

Description

In this release version, we present  Aeolus 2.0, an open-source numerical atmosphere model and a two-layer version of the improved moist-convective Rotating Shallow Water (2imcRSW) model. This particular iteration of Aeolus 2.0 stands as a self-contained model of intermediate complexity. The model's dynamical core is underpinned by a multi-layer pseudo-spectral moist-convective Thermal Rotating Shallow Water (mcTRSW) model. The pseudo-spectral problem-solving tasks are handled by the Dedalus algorithm, acknowledged for its spin-weighted spherical harmonics. The model captures the temporal and spatial evolution of vertically integrated potential temperature, thickness, water vapor, precipitation, and the influence of bottom topography. It calculates velocity fields in both the lower and upper troposphere, employing resolutions spanning a spectrum from the smooth to the coarse, enabling the exploration of a wide range of dynamic phenomena with varying levels of detail and precision.

For inquiries regarding access to the most recent iteration of the model, installation procedures, initialization tailored to specific scientific endeavors, diverse methodologies concerning scaling and nondimensionalization, as well as opportunities for scientific collaboration, please do not hesitate to contact Dr. Masoud Rostami via email at rostami@pik-potsdam.de or masoud.rostami@lmd.ipsl.fr.

 

Files

Aeolus2.zip

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Additional details

Additional titles

Subtitle (English)
A Novel Pseudo-Spectral Moist-Convective Thermal Rotating Shallow Water (mcTRSW) Model Dynamical Core

Dates

Available
2024-04

Software

Programming language
Python, Fortran
Development Status
Active

References

  • Rostami, M., Petri, S., Fallah, B., Fazel-Rastgar, F., 2025. Aeolus 2.0's thermal rotating shallow water model: A new paradigm for simulating extreme heatwaves, westerly jet intensification, and more. Physics of Fluids 37 (1), 016604. https://doi.org/10.1063/5.0244908.
  • Rostami, M., Petri, S., Guimaräes, S.O., Fallah, B., 2024. Open-source stand-alone version of atmosphere model Aeolus 2.0 Software, Geoscience Data Journal, https://doi.org/10.1002/gdj3.249.
  • Rostami, M., Severino, L., Petri, S., & Hariri, S., 2023. Dynamics of localized extreme heatwaves in the mid-latitude atmosphere: A conceptual examination. Atmospheric Science Letters, e1188, https://doi.org/10.1002/asl.1188.
  • Rostami, M., Zhao, B., Petri, S., 2022. On the genesis and dynamics of Madden-Julian oscillation-like structure formed by equatorial adjustment of localized heating. Quarterly Journal of the Royal Meteorological Society, 148(749), 3788– 3813, https://doi.org/10.1002/qj.4388.
  • Vasil, G. M., Lecoanet, D., Burns, K. J., Oishi, J. S. and Brown, B. P., 2019. Tensor calculus in spherical coordinates using Jacobi polynomials. Part I: Mathematical analysis and derivations. Journal of Computational Physics, 3, 100013, https://doi.org/10.1016/j.jcpx.2019.100013.
  • Rostami, M. and Zeitlin, V., 2018. An improved moist-convective rotating shallow-water model and its application to instabilities of hurricane- like vortices. Quarterly Journal of the Royal Meteorological Society, 144, 1450-1462, https://doi.org/10.1002/qj.3292.
  • Rostami, M., Zeitlin, V., 2017. Influence of condensation and latent heat release upon barotropic and baroclinic instabilities of vortices in rotating shallow water f-plane model. Geophysical & Astrophysical Fluid Dynamics 111 (1), 1–31. https://doi.org/10.1080/03091929.2016.1269897.
  • Lambaerts, J., Lapeyre, G., Zeitlin, V., 2012. Moist versus Dry Baroclinic Instability in a Simplified Two-Layer Atmospheric Model with Condensation and Latent Heat Release. Journal of the Atmospheric Sciences 69 (4), 1405–1426. https://doi.org/10.1175/JAS-D-11-0205.1.
  • Lambaerts, J., Lapeyre, G., Zeitlin, V., 2011. Moist versus dry barotropic instability in a shallow water model of the atmosphere with moist convection. Journal of the Atmospheric Sciences 68 (6), 1234 – 1252. https://doi.org/10.1175/2011JAS3540.1.
  • Bouchut, F., Zeitlin, V., 2010. A robust well-balanced scheme for multi-layer shallow water equations. Discrete and Continuous Dynamical Systems - B 13 (4), 739–758. https://doi.org/10.3934/dcdsb.2010.13.739.
  • Bouchut, F., Lambaerts, J., Lapeyre, G., Zeitlin, V., 2009. Fronts and nonlinear waves in a simplified shallow-water model of the atmosphere with moisture and convection. Physics of Fluids 21 (11), 116604. https://doi.org/10.1063/1.3265970.