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首页> 外文期刊>Icarus: International Journal of Solar System Studies >Heuristic estimation of dust devil vortex parameters and trajectories from single-station meteorological observations: Application to InSight at Mars
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Heuristic estimation of dust devil vortex parameters and trajectories from single-station meteorological observations: Application to InSight at Mars

机译:基于单站气象观测的尘埃魔鬼涡旋参数和轨迹的启发式估计:在火星InSight中的应用

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摘要

A physically-realistic migrating vortex model is developed and applied to generate pressure and wind speed and direction histories for dust devil passage. The asymmetric character of wind histories is noted, and we examine how these combined data constrain the solution space of dust devil parameters (migration velocity, diameter and intensity), ambient wind, and miss distance. These histories are compared with a new terrestrial field dataset of high-time resolution pressure and wind measurements of over twenty dust devil encounters in New Mexico. This new dataset is made available electronically and it is found that model fits can be typically achieved with simultaneous root-mean-square errors of similar to 0.05 hPa (similar to 5-10% of the peak pressure signature), similar to 20 degrees of wind azimuth, and similar to 2 m/s windspeed. The fits are not unique, however, and some heuristic aspects of resolving the intrinsic degeneracies of the problem and nonideal features of real encounters are discussed. The application of this approach to the InSight lander is noted, offering the possibility of defining the context for any possible detections of electromagnetic and seismic signatures of dust devils on Mars. (C) 2016 Elsevier Inc. All rights reserved.
机译:建立了物理逼真的迁移涡流模型,并将其应用于生成压力,风速以及尘埃魔鬼通过的方向历史。记录了风史的不对称特征,我们研究了这些组合数据如何约束尘埃魔鬼参数(迁移速度,直径和强度),环境风和遗漏距离的解空间。将这些历史记录与新的地面数据集进行了比较,该数据集提供了新墨西哥州20多个尘埃魔鬼遭遇时的高分辨率高分辨力和风速测量结果。该新数据集可通过电子方式获得,并且发现通常可以通过同时进行均方根误差(类似于0.05 hPa(近似于峰值压力信号的5-10%)),近似20度的均方根误差来实现模型拟合。风方位角,类似于2 m / s的风速。然而,拟合并不是唯一的,并且讨论了解决问题的内在退化和实际遭遇的非理想特征的一些启发式方面。记录了此方法在InSight着陆器上的应用,为定义可能检测火星上尘埃魔鬼的电磁和地震信号的背景提供了可能性。 (C)2016 Elsevier Inc.保留所有权利。

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