Preprints
https://doi.org/10.5194/egusphere-2026-5392
https://doi.org/10.5194/egusphere-2026-5392
05 Oct 2026
 | 05 Oct 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

TARSA v1.0: a lightweight Eulerian forward model for aerosol transport – description, verification, and observation-based evaluation

Konstantin Kuznetsov, Oleg Dubovik, Anton Lopatin, Elena Lind, and David Fuertes

Abstract. Atmospheric retrieval, inverse-modelling, and data-assimilation workflows require transparent transport models that can be evaluated repeatedly and provide consistent sensitivities. We present TARSA v1.0, a lightweight regional three-dimensional Eulerian model for inert tracers and simplified aerosol applications under prescribed ERA5 meteorology. TARSA advances tracer mass mixing ratios with a conservative finite-volume core comprising monotonic advection, vertical turbulent diffusion, sedimentation, and parameterised dry and wet deposition. The default advection scheme uses a TVD-admissible, cubic-Hermite-regularised Koren limiter to reduce selected gradient-error roughness. Analytic, tangent-linear, discrete-adjoint, and automatic-differentiation gradients agree to single precision in a scalar emission-amplitude check. Numerical verification includes mass-conservation, analytical plume, and manufactured-solution tests. Independent evaluation against european and north-american regional experiments (ETEX-1, CAPTEX-1) shows agreement in plume timing and concentration amplitude, with performance broadly comparable to published transport-model results. A Saharan dust-column case during Fennec, driven by prescribed MERRA-2 emissions without externally prescribed dust initial or lateral boundary concentrations, shows moderate agreement with GRASP/POLDER coarse-dust column estimates. TARSA provides a reproducible forward operator for regional transport and observation-space studies, supporting future air-quality applications using satellite aerosol observations. Its prescribed process set and local sensitivity structure support future retrieval and inversion applications, while end-to-end inverse-modelling performance remains to be demonstrated.

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Konstantin Kuznetsov, Oleg Dubovik, Anton Lopatin, Elena Lind, and David Fuertes

Status: open (until 30 Nov 2026)

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Konstantin Kuznetsov, Oleg Dubovik, Anton Lopatin, Elena Lind, and David Fuertes
Konstantin Kuznetsov, Oleg Dubovik, Anton Lopatin, Elena Lind, and David Fuertes

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Short summary
We developed a new computer model to track gases and airborne particles using weather records, with future pollution monitoring in mind. Tests using controlled releases in Europe and North America showed agreement with observed pollution movement and amounts. A Saharan dust study showed moderate agreement with satellite estimates. The model provides a reproducible basis for combining satellite measurements and simulations.
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