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Abstract
Wind is the most important external force in shaping aeolian landforms. Yet, it remains unclear what role the strong-wind events will play in the development of aeolian landforms compared with the effect of regular winds. A fundamental question is, what are the contributions of different wind speed levels to the deformation of aeolian landforms. Here, through in situ measurements of high-sampling-rate wind data and high-resolution topographic data, we analyzed short-term strong-wind events at different levels and monitored the rapid migration of barchan dunes, enabling us to provide a first report on the contribution rate of short-term strong winds to dune migration. Leveraging the linear relationship between sand flux and the migration distance of barchans, we found that the ratio of sand flux generated by short-term strong winds to the total sand flux is equal to the ratio of barchan migration distance caused by strong winds to the total migration distance in the same period. Moreover, a global analysis of three typical barchan fields confirmed the relationship. This study suggests that the development of aeolian landforms is dominantly controlled by the short-term strong-wind events rather than the previously reported time-averaging wind.
Short-term strong wind events play a crucial role in the evolution and movement of barchan dunes, according to analyses of high-frequency wind sampling data and high-resolution topographic information
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1 Chinese Academy of Sciences, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Urumqi, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Ghent University, Department of Geography, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798)
2 Chinese Academy of Sciences, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Urumqi, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419)
3 Ghent University, Department of Geography, Ghent, Belgium (GRID:grid.5342.0) (ISNI:0000 0001 2069 7798); Sino-Belgian Joint Laboratory of Geo-information, Urumqi, China (GRID:grid.458469.2) (ISNI:0000 0001 0038 6319); Sino-Belgian Joint Laboratory of Geo-information, Ghent, Belgium (GRID:grid.458469.2)