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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

Evaluation of the RainFARM statistical downscaling technique applied to IMERG over global oceans using Passive Aquatic Listener in situ rain measurements

Bytheway, J.L., E.J. Thompson, J. Yang, and H. Chenc, "Evaluation of the RainFARM statistical downscaling technique applied to IMERG over global oceans using Passive Aquatic Listener in situ rain measurements," J. Hydrometeorol., 24, 2351-2367, doi:10.1175/JHM-D-23-0090.1, 2023.

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1 Dec 2023

High-resolution oceanic precipitation estimates are needed to increase our understanding of and ability to monitor ocean–atmosphere coupled processes. Satellite multisensor precipitation products such as IMERG provide global precipitation estimates at relatively high resolution (0.1°, 30 min), but the resolution at which IMERG precipitation estimates are considered reliable is coarser than the nominal resolution of the product itself. In this study, we examine the ability of the Rainfall Autoregressive Model (RainFARM) statistical downscaling technique to produce ensembles of precipitation fields at relatively high spatial and temporal resolution when applied to spatially and temporally coarsened precipitation fields from IMERG. The downscaled precipitation ensembles are evaluated against in situ oceanic rain-rate observations collected by passive aquatic listeners (PALs) in 11 different ocean domains. We also evaluate IMERG coarsened to the same resolution as the downscaled fields to determine whether the process of coarsening then downscaling improves precipitation estimates more than averaging IMERG to coarser resolution only. Evaluations were performed on individual months, seasons, by ENSO phase, and based on precipitation characteristics. Results were inconsistent, with downscaling improving precipitation estimates in some domains and time periods and producing worse performance in others. While the results imply that the performance of the downscaled precipitation estimates is related to precipitation characteristics, it is still unclear what characteristics or combinations thereof lead to the most improvement or consistent improvement when applying RainFARM to IMERG.

PMEL ocean climate stations as reference time series and research aggregate devices

Cronin, M.F., and 14 others including J. Yang and J. Thomson, "PMEL ocean climate stations as reference time series and research aggregate devices," Oceanography, 36, 46-53, doi:10.5670/oceanog.2023.224, 2023.

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30 Oct 2023

The NOAA Pacific Marine Environmental Laboratory (PMEL) Ocean Climate Stations (OCS) project provides in situ measurements for quantifying air-sea interactions that couple the ocean and atmosphere. The project maintains two OceanSITES surface moorings in the North Pacific, one at the Kuroshio Extension Observatory in the Northwest Pacific subtropical recirculation gyre and the other at Station Papa in the Northeast Pacific subpolar gyre. OCS mooring time series are used as in situ references for assessing satellite and numerical weather prediction models. A spinoff of the PMEL Tropical Atmosphere Ocean (TAO) project, OCS moorings have acted as "research aggregating devices." Working with and attracting wide-ranging partners, OCS scientists have collected process-​oriented observations of variability on diurnal, synoptic, seasonal, and interannual timescales, and trends associated with anthropogenic climate change. Since 2016, they have worked to expand, test, and verify the observing capabilities of uncrewed surface vehicles and to develop observing strategies for integrating these unique, wind-powered observing platforms within the tropical Pacific and global ocean observing system. PMEL OCS has been at the center of the UN Decade of Ocean Sciences for Sustainable Development (2021–2030) effort to develop an Observing Air-Sea Interactions Strategy (OASIS) that links an expanded network of in situ air-sea interaction observations to optimized satellite observations, improved ocean and atmospheric coupling in Earth system models, and ultimately improved ocean information across an array of essential climate variables for decision-makers. This retrospective highlights not only achievements of the PMEL OCS project but also some of its challenges.

Performance of GPCP daily products over oceans: Evaluation using Passive Aquatic Listeners

Li, Z., E.J. Thompson, A. Behrangi, H. Chen, and J. Yang, "Performance of GPCP daily products over oceans: Evaluation using Passive Aquatic Listeners," Geophys. Res. Lett., 50, doi:10.1029/2023GL104310, 2023.

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16 Jun 2023

Passive Aquatic Listeners (PALs) have been increasingly deployed to collect minute-scale surface oceanic rainfall and wind information, with a sampling area similar to the spaceborne sensor footprints. This provides an unprecedented opportunity to validate satellite precipitation products over oceans. This study evaluates the Global Precipitation Climatology Project (GPCP) daily products, including the widely used GPCP v1.3 and the newly released GPCP v3.2, over oceans using 58 PALs as references. The study shows that the GPCP performance depends on time scale, region, and rainfall intensity. The two versions of GPCP perform similarly at multi-year and monthly scales, while GPCP v3.2 shows substantial improvements in representing rain occurrence and rain intensity at daily scale. The results also highlight the challenge of precipitation measurement over certain regions such as the tropical Southeastern Pacific and extratropical North Pacific, where both versions of the GPCP products perform similarly but exhibit noticeable differences compared to PAL observations.

More Publications

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