Evidence map›Paper›PMID 36331923›Full record

ArticlePloS one2022

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

Richard Love, Derek W T Jackson, Timothy Michaels, Thomas A G Smyth, Jean-Philippe Avouac, Andrew Cooper

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Richard LoveSchool of Geography & Environmental Sciences, Ulster University, Northern Ireland, United Kingdom.ORCID 0000-0002-8753-4755
Derek W T JacksonSchool of Geography & Environmental Sciences, Ulster University, Northern Ireland, United Kingdom.
Timothy MichaelsCarl Sagan Center (at the SETI Institute), Mountain View, California, United States of America.
Thomas A G SmythDepartment of Biological and Geographical Sciences, School of Applied Sciences, University of Huddersfield, England, United Kingdom.ORCID 0000-0002-1740-762X
Jean-Philippe AvouacSchool of Geography & Environmental Sciences, Ulster University, Northern Ireland, United Kingdom.
Andrew CooperSchool of Geography & Environmental Sciences, Ulster University, Northern Ireland, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

MarsWindAtmosphereComputer SimulationExtraterrestrial Environment

Identifiers

PMID36331923
PMCPMC9635718

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.