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From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales

The processes that initiate and sustain sediment transport which contribute to the modification of aeolian deposits in Mars’ low-density atmosphere are still not fully understood despite recent atmospheric modelling. However, detailed microscale wind flow modelling, using Computational Fluid Dynamic...

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Autores principales: Love, Richard, Jackson, Derek W. T., Michaels, Timothy, Smyth, Thomas A. G., Avouac, Jean-Philippe, Cooper, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635718/
https://www.ncbi.nlm.nih.gov/pubmed/36331923
http://dx.doi.org/10.1371/journal.pone.0276547
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author Love, Richard
Jackson, Derek W. T.
Michaels, Timothy
Smyth, Thomas A. G.
Avouac, Jean-Philippe
Cooper, Andrew
author_facet Love, Richard
Jackson, Derek W. T.
Michaels, Timothy
Smyth, Thomas A. G.
Avouac, Jean-Philippe
Cooper, Andrew
author_sort Love, Richard
collection PubMed
description The processes that initiate and sustain sediment transport which contribute to the modification of aeolian deposits in Mars’ low-density atmosphere are still not fully understood despite recent atmospheric modelling. However, detailed microscale wind flow modelling, using Computational Fluid Dynamics at a resolution of <2 m, provides insights into the near-surface processes that cannot be modeled using larger-scale atmospheric modeling. Such Computational Fluid Dynamics simulations cannot by themselves account for regional-scale atmospheric circulations or flow modifications induced by regional km-scale topography, although realistic fine-scale mesoscale atmospheric modeling can. Using the output parameters from mesoscale simulations to inform the input conditions for the Computational Fluid Dynamics microscale simulations provides a practical approach to simulate near-surface wind flow and its relationship to very small-scale topographic features on Mars, particularly in areas which lack in situ rover data. This paper sets out a series of integrated techniques to enable a multi-scale modelling approach for surface airflow to derive surface airflow dynamics at a (dune) landform scale using High Resolution Imaging Science Experiment derived topographic data. The work therefore provides a more informed and realistic Computational Fluid Dynamics microscale modelling method, which will provide more detailed insight into the surface wind forcing of aeolian transport patterns on martian surfaces such as dunes.
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spelling pubmed-96357182022-11-05 From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales Love, Richard Jackson, Derek W. T. Michaels, Timothy Smyth, Thomas A. G. Avouac, Jean-Philippe Cooper, Andrew PLoS One Research Article The processes that initiate and sustain sediment transport which contribute to the modification of aeolian deposits in Mars’ low-density atmosphere are still not fully understood despite recent atmospheric modelling. However, detailed microscale wind flow modelling, using Computational Fluid Dynamics at a resolution of <2 m, provides insights into the near-surface processes that cannot be modeled using larger-scale atmospheric modeling. Such Computational Fluid Dynamics simulations cannot by themselves account for regional-scale atmospheric circulations or flow modifications induced by regional km-scale topography, although realistic fine-scale mesoscale atmospheric modeling can. Using the output parameters from mesoscale simulations to inform the input conditions for the Computational Fluid Dynamics microscale simulations provides a practical approach to simulate near-surface wind flow and its relationship to very small-scale topographic features on Mars, particularly in areas which lack in situ rover data. This paper sets out a series of integrated techniques to enable a multi-scale modelling approach for surface airflow to derive surface airflow dynamics at a (dune) landform scale using High Resolution Imaging Science Experiment derived topographic data. The work therefore provides a more informed and realistic Computational Fluid Dynamics microscale modelling method, which will provide more detailed insight into the surface wind forcing of aeolian transport patterns on martian surfaces such as dunes. Public Library of Science 2022-11-04 /pmc/articles/PMC9635718/ /pubmed/36331923 http://dx.doi.org/10.1371/journal.pone.0276547 Text en © 2022 Love et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Love, Richard
Jackson, Derek W. T.
Michaels, Timothy
Smyth, Thomas A. G.
Avouac, Jean-Philippe
Cooper, Andrew
From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales
title From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales
title_full From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales
title_fullStr From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales
title_full_unstemmed From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales
title_short From Macro- to Microscale: A combined modelling approach for near-surface wind flow on Mars at sub-dune length-scales
title_sort from macro- to microscale: a combined modelling approach for near-surface wind flow on mars at sub-dune length-scales
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635718/
https://www.ncbi.nlm.nih.gov/pubmed/36331923
http://dx.doi.org/10.1371/journal.pone.0276547
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