期刊
GEOPHYSICAL RESEARCH LETTERS
卷 50, 期 18, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2022GL102610
关键词
Mars; wind circulation; barchan dunes; climate
The morphology of dunes on Mars can be used to investigate its atmosphere. A convolutional neural network was used to characterize over 700,000 barchans globally, revealing that their migration aligns with known atmospheric circulation patterns and is affected by topographic roughness. This study provides insights into aeolian processes on Mars and can aid in predicting future missions.
In the absence of consistent meteorological data on Mars, the morphology of dunes can be employed to study its atmosphere. Specifically, barchan dunes, which form under approximately unimodal winds, are reliable proxies for the dominant wind directions. Here, we characterize near-surface winds on Mars from the morphology of >700,000 barchans mapped globally on the planet by a convolutional neural network. Barchan migration is predominantly aligned with known southern-summer atmospheric circulation patterns-northerly at mid-latitudes and cyclonic near the north pole-with the addition of an anti-cyclonic north-polar component that likely originates from winds emerging from the ice cap. Locally, migration directions deviate from regional trends in areas with high topographic roughness. Notably, obstacles <100 km such as impact craters are efficient at deflecting surface winds. Our database, which provides insights into planetary-scale aeolian processes on modern-day Mars, can be used to constrain global circulation models to assist with predictions for future missions.
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