[AAS04-P08] Detections of mountain lee wave signals due to water vapor fluctuation by ALOS-2 ScanSAR interferometry and numerical reproducible simulations
Keywords:InSAR, mountain lee wave, meso-scale simulation, water vapor observation
We use SAR level 1.1 data acquired by the L-band PALSAR-2 SAR sensor onboard the ALOS-2 satellite, which was launched by JAXA, to generate interferograms. The interferometric processing is conducted with the RINC software version 0.37 (Ozawa et al. 2016) and the SNAPHU software was used for unwrapping (Chen and Zepker 2002). The WRF version 3.7.0 was used to perform numerical weather simulations with 3 and 1 km grid spacing (one-way nested). The grid spacing in the finer domain is enough to reproduce explicitly resolve mountain lee wave phenomena because typical wavelength of lee waves are about 16 km (Ralph et al. 1997). The JMA's MSM and NCEP SST data were used for model's initial and boundary conditions.
Two interferograms were generate around the central Hokkaido and eastern part of Tohoku, both in Japan. Both of interferograms captured wave-like phase variations in the downstream side of mountain crests. Amplitudes of these phase variations reached up to 4-5 cm, corresponding to approximately 5 cm variations in PWV. In addition, the spatial patterns of these phase variations were very close to that detected by visible satellite images at the corresponding time. WRF simulations successfully reproduced observed amplitudes and wavelengths of lee waves, although simulated wave attenuated more rapidly than those of observed. A sensitivity experiment using different planetary boundary layer (PBL) schemes was performed and resulted in that different PBLs reproduced lee wave signatures with different wavelengths and attenuation rates, indicating the importance of accurate representation of turbulent kinetic energy in the boundary layer.