[G06-4] Ionosphere and space weather II

[G06-4-03] Dispersive and Non-dispersive Components in the L-band InSAR Data Associated with Sporadic-E and Heavy Rain Episodes

^○Masato Furuya¹, Takato Suzuki¹, Youhei Kinoshita² (1.Hokkaido University, Sapporo, Japan, 2.The University of Tokyo, Tokyo, Japan)

In contrast to GNSS, SAR imaging is based on a single carrier frequency, and
thus no operational ionospheric corrections have been performed in the interferometric
SAR (InSAR) data analyses. Recently, Gomba et al (2016) detailed the
processing strategy of split-spectrum method (SSM) for InSAR, which splits the finite bandwidth of the range spectrum and virtually allows for dual-frequency measurements. We apply the SSM to the
L-band ALOS1/2 InSAR data to examine the contributions of dispersive and non-dispersive
components. Maeda et al (2016) succeeded in detecting the sporadic-E (Es) signals in both
GNSS/TEC and ALOS/PALSAR InSAR data. Meanwhile, Kinoshita and Furuya (2017)
detected phase anomaly in ALOS/PALSAR InSAR data associated with heavy rain over
Niigata area, Japan. In this paper, we apply the SSM to the L-band InSAR data that detected both Es and heavy rain episodes. Originally, we expected no anomalies in non-dispersive phases for Es and in dispersive phases for heavy rain. To our surprise, however, we notice the presence of phase anomalies in both dispersive phase in heavy rain and non-dispersive phase in Es. We discuss its geophysical implications.