Modeled and measured fluxes of latent and sensible heat and snow transport at S17 near Syowa in Antarctica

Ultimo aggiornamento: ottobre 28,2025

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Categorie: Istruzione, cultura e sport

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This dataset supports a related publication (Sigmund et al., 2025) and contains

results of four large-eddy simulations (LES) coupled to a Lagrangian model (LM) for snow transport, aiming to reproduce field measurements, especially latent heat fluxes, at the S17 site near Syowa Station, East Antarctica, in conditions of drifting and blowing snow,
references to the source code of the LES-LM model,
the source code and results of a simple one-dimensional (1D) model inspired by the large-scale model CRYOWRF (Sharma et al., 2023), aiming to reproduce the LES-LM results,
post-processed measurements shown in the figures of the related publication,
programming code for post-processing and plotting the results.

The LES-LM simulations solve the Navier-Stokes equations for incompressible flows and advection-diffusion equations for air temperature and specific humidity in a domain of 19.2 x 18.32 x 18.32 m³. In these simulations, the airflow is driven by a prescribed large-scale pressure gradient. We assume that the air density is constant (1.18 kg/m³) and the snow particles have a spherical shape and a density of 918.4 kg/m³. Further methodological details are described in the related publication. The 1D model and post-processing code was created using the R software version 4.3.2 (R Core Team, 2024).

References

Sharma, V., Gerber, F., & Lehning, M. (2023): Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling. Geosci. Model Dev. 16, 719–749. https://doi.org/10.5194/gmd-16-719-2023
Sigmund, A., Melo, D. B., Dujardin, J., Nishimura, K., & Lehning, M. (2025). Parameterizing snow sublimation in conditions of drifting and blowing snow. Journal of Advances in Modeling Earth Systems, 17, e2024MS004332. https://doi.org/10.1029/2024MS004332

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Identificatore

fecdb89a-8774-4896-8811-6c8cad3f66de@envidat

Data di rilascio

aprile 21,2025

Data di modifica

ottobre 28,2025

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EnviDat

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https://www.envidat.ch/#/metadata/modeled-and-measured-fluxes

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Armin Sigmund

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