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Jie Yang

Principal Physicist





Department Affiliation



B.S. Physics, Ocean University of Qingdao, China, 1999

Ph.D. Mechanical Engineering, Georgia Institute of Technology, 2006


2000-present and while at APL-UW

Evaluating satellite precipitation estimates over oceans using passive aquatic listeners

Bytheway, J.L., E.J. Thompson, J. Yang, and H. Chen, "Evaluating satellite precipitation estimates over oceans using passive aquatic listeners," Geophys. Res. Lett., 50, doi:10.1029/2022GL102087, 2023.

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28 Mar 2023

Passive aquatic listeners (PALs) provide high-quality, high-resolution estimates of precipitation over ocean regions, but have been underutilized as a reference data set for the evaluation of satellite-based precipitation estimates (SPEs). PALs are uniquely suited for this purpose due to their 5 km surface listening area when sampling at 1 km depth on drifting Argo Floats, providing rain rate estimates on a spatial scale similar to the native grid spacing of many SPEs. In this study we compare three SPE products (IMERG, CMORPH, and PDIR-Now) to PAL measurements. Evaluations are performed over tropical, extratropical, and global oceans at SPE native spatiotemporal resolution and longer time scales. We find the SPEs to have rain rate frequency distributions similar to PAL, but with biases and varying performance characteristics that are dependent on region and time scale.

Open ocean ambient noise data in the frequency band of 100 Hz – 50 kHz from the Pacific Ocean

Yang, J., J.A. Nystuen, S.C. Riser, and E.I. Thorsos, "Open ocean ambient noise data in the frequency band of 100 Hz – 50 kHz from the Pacific Ocean," JASA Express Lett., 3, doi:10.1121/10.0017349, 2023.

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1 Mar 2023

Bubbles from wind generated breaking surface waves are the dominant ambient noise source. With ambient noise data collected in the open ocean between 100 Hz and 50 kHz from 1999 to 2022, the ambient noise level is observed to sharply decrease as wind speed increases beyond 15 m/s for frequencies higher than 4 kHz. Data-model comparisons show a mismatch, as existing models including the Wenz curves are monotonic in nature. The decrease at high wind speeds and frequencies is likely due to attenuation when ambient sound propagates through the deeper and denser bubble layer for high sea conditions.

Statistical inference of sound speed and attenuation dispersion of a fine-grained marine sediment

Knobles, D.P., C.D. Escobar-Amado, M.J. Buckingham, W.S. Hodgkiss, P.S. Wilson, T.B. Neilsen, J. Yang, and M. Badiey, "Statistical inference of sound speed and attenuation dispersion of a fine-grained marine sediment," IEEE J. Ocean. Eng., EOR, doi:10.1109/JOE.2021.3091846, 2021.

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17 Aug 2021

Acoustic recordings of signals in the 1.5–4.0-kHz band were analyzed for information about the sound speed and attenuation frequency dispersion of a fine-grained sediment found in the New England Mudpatch. Analysis of piston cores established prior bounds for a geophysical parameterization of a seabed model that predicts Kramers–Kronig dispersion relations. Sediment layers are described by the Buckingham viscous grain shearing (VGS) model that accounts for the effects of overburden pressure of compressional and shear speeds and attenuations. A statistical inverse problem was solved by using multiple samples of received levels recorded on two vertical line arrays as a function time and hydrophone depth for six frequencies in the 1.5–4.0-kHz band. A statistical inference model that assumed both model parameters and data samples are random variables quantified information content from marginalization of a conditional posterior probability distribution for the geophysical parameters that characterize the mud layer. From the inferred geophysical parameter point estimates the sediment sound speed and attenuation frequency dispersion are predicted and compared to previously reported direct measurements. Also, the predicted sound-speed gradient in the mud sediment from the VGS model is compared to a previous inference that utilized explosive sources.

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Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center