Savastano Giorgio, Komjathy Attila, Verkhoglyadova Olga, Mazzoni Augusto, Crespi Mattia, Wei Yong, Mannucci Anthony J
Department of Civil, Building and Environmental Engineering, University of Rome, La Sapienza, Rome, Italy.
Ionospheric and Atmospheric Remote Sensing Group, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.
Sci Rep. 2017 Apr 21;7:46607. doi: 10.1038/srep46607.
It is well known that tsunamis can produce gravity waves that propagate up to the ionosphere generating disturbed electron densities in the E and F regions. These ionospheric disturbances can be studied in detail using ionospheric total electron content (TEC) measurements collected by continuously operating ground-based receivers from the Global Navigation Satellite Systems (GNSS). Here, we present results using a new approach, named VARION (Variometric Approach for Real-Time Ionosphere Observation), and estimate slant TEC (sTEC) variations in a real-time scenario. Using the VARION algorithm we compute TEC variations at 56 GPS receivers in Hawaii as induced by the 2012 Haida Gwaii tsunami event. We observe TEC perturbations with amplitudes of up to 0.25 TEC units and traveling ionospheric perturbations (TIDs) moving away from the earthquake epicenter at an approximate speed of 316 m/s. We perform a wavelet analysis to analyze localized variations of power in the TEC time series and we find perturbation periods consistent with a tsunami typical deep ocean period. Finally, we present comparisons with the real-time tsunami MOST (Method of Splitting Tsunami) model produced by the NOAA Center for Tsunami Research and we observe variations in TEC that correlate in time and space with the tsunami waves.
众所周知,海啸能够产生重力波,这些重力波可向上传播至电离层,在E区和F区产生扰动电子密度。利用全球导航卫星系统(GNSS)连续运行的地面接收机收集的电离层总电子含量(TEC)测量数据,可以详细研究这些电离层扰动。在此,我们展示了使用一种名为VARION(实时电离层观测变分法)的新方法所取得的结果,并在实时场景中估计斜向TEC(sTEC)变化。使用VARION算法,我们计算了2012年海达瓜依海啸事件在夏威夷56个GPS接收机处引起的TEC变化。我们观测到TEC扰动幅度高达0.25个TEC单位,以及行进电离层扰动(TID)以约316米/秒的速度远离地震震中。我们进行了小波分析,以分析TEC时间序列中功率的局部变化,并且发现扰动周期与海啸典型的深海周期一致。最后,我们将结果与美国国家海洋和大气管理局海啸研究中心生成的实时海啸MOST(海啸分裂方法)模型进行比较,并且观测到TEC变化在时间和空间上与海啸波相关。