论文标题

大气伸向数据的同化,以限制对流层和平流层风

Assimilation of atmospheric infrasound data to constrain tropospheric and stratospheric winds

论文作者

Amezcua, Javier, Näsholm, Sven Peter, Blixt, Erik Mårten, Charlton-Perez, Andrew J.

论文摘要

这项数据同化研究从爆炸中利用了从头到尾到平流层高度的大气风成分的侵蚀。芬兰的旧弹药的计划爆炸产生了穿越大气的短暂侵权波。这些波部分反射到平流层水平向地面反射,并在挪威北部的一个接收器处检测到178公里,几乎距离爆炸部位北部。将传入的非散射波沿源的真实水平方向与脉冲传播时间结合使用,以估算穿透性大气中的平均交叉循环分量。我们使用ERE5集合重新分析大气产物作为不同垂直水平的风的背景(先验),使用集合卡尔曼过滤器和这些观察结果进行离线同化实验。我们证明,可以合并来自两个来源的信息,以获得分析(后验)在爆炸位点和记录站之间不同垂直水平的跨风的分析估计值。同化在12-60 km的水平上产生了最大的影响,相对于0.1-1.0 m/s的先前阶段的一些变化,这比ERA5背景的典型标准偏差大。较高水平的背景方差的降低通常达到2-5%。这是第一项发表的研究,证明了将非传动数据同化为大气模型的技术。它为进一步探索的进一步探索铺平了道路,以探测中间大气动力学并将这些数据吸收到大气模型产物中。

This data assimilation study exploits infrasound from explosions to probe an atmospheric wind component from the ground up to stratospheric altitudes. Planned explosions of old ammunition in Finland generate transient infrasound waves that travel through the atmosphere. These waves are partially reflected back towards the ground from stratospheric levels, and are detected at a receiver station located in northern Norway at 178 km almost due North from the explosion site. The difference between the true horizontal direction towards the source and the backazimuth direction (the horizontal direction of arrival) of the incoming infrasound wave-fronts, in combination with the pulse propagation time, are exploited to provide an estimate of the average cross-wind component in the penetrated atmosphere. We perform offline assimilation experiments with an ensemble Kalman filter and these observations, using the ERA5 ensemble reanalysis atmospheric product as background (prior) for the wind at different vertical levels. We demonstrate that information from both sources can be combined to obtain analysis (posterior) estimates of cross-winds at different vertical levels of the atmospheric slice between the explosion site and the recording station. The assimilation makes greatest impact at the 12-60 km levels, with some changes with respect to the prior of the order of 0.1-1.0 m/s, which is a magnitude larger than the typical standard deviation of the ERA5 background. The reduction of background variance in the higher levels often reached 2-5%. This is the first published study demonstrating techniques to implement assimilation of infrasound data into atmospheric models. It paves the way for further exploration in the use of infrasound observations - especially natural and continuous sources - to probe the middle atmospheric dynamics and to assimilate these data into atmospheric model products.

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