Preprints
https://doi.org/10.5194/egusphere-2025-6120
https://doi.org/10.5194/egusphere-2025-6120
19 Feb 2026
 | 19 Feb 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Development and improvement of a nonhydrostatic spectral model using non-constant coefficient semi-implicit and vertically conservative semi-Lagrangian schemes

Hiromasa Yoshimura

Abstract. A two-dimensional x–z nonhydrostatic spectral model using non-constant coefficient semi-implicit and vertically conservative semi-Lagrangian schemes has been developed, which is computationally efficient by allowing for long timesteps in simulations. The model incorporates several improvements related to free-slip surface boundary conditions, prognostic variables in spectral space, and the semi-Lagrangian and semi-implicit schemes. These improvements enhance the numerical stability, especially in cases with steep orography, and improve model results. The model was tested with various test cases (e.g., mountain wave test cases), confirming that a single recalculation of the non-constant coefficient linear terms is usually sufficient to stably solve the equations associated with the non-constant coefficient semi-implicit scheme, even in the cases with a steep mountain with an average slope of 45°. The model also ran stably even in the case of an extremely steep mountain with an average slope of 63.4° by performing several iterations using the preconditioned general conjugate residual method. In all these cases, good results were obtained with long timesteps.

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Hiromasa Yoshimura

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Hiromasa Yoshimura

Data sets

Yoshimura_Nonhydro_2D_XZ_Testcase Hiromasa Yoshimura https://climate.mri-jma.go.jp/pub/archives/Yoshimura_Nonhydro_2D_XZ_Testcase

Model code and software

Nonhydro_XZ Hiromasa Yoshimura https://doi.org/10.5281/zenodo.17935265

Hiromasa Yoshimura

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Short summary
We have developed a two-dimensional x–z nonhydrostatic spectral model that achieves high computational efficiency by allowing long timesteps. The model incorporates several improvements that enhance numerical stability and accuracy. The model was tested with various cases, and good results were obtained. The model ran stably even in the case of an extremely steep mountain with an average slope of 63.4°. These improvements will be applied to a global atmospheric model in future work.
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