Cooperative Institute for Research in Environmental Sciences

Xuanyu Chen

(She/Her)

Research Scientist

Headshot of Xuanyu Chen
Education
  • Ph.D., University of Rhode Island, 2020
  • B.S., Ocean University of China, 2015
Also on the web

Research Interests

I am a physical oceanographer interested in understanding ocean's imprints on the atmospheric boundary layer and eventually, in improving their representations in numerical weather prediction and climate models. Imprints of the ocean can be generated by dynamical features (e.g., ocean surface gravity waves, ocean currents) or thermodynamical features (e.g., sea surface temperature fronts, ocean eddies). During my doctoral research, I studied the first aspect through ocean surface gravity waves. Specifically, I used a numerical ocean surface wave model to investigate how shoaling waves modulate air-sea momentum flux in coastal waters during landfalling hurricanes and its subsequent impacts on storm surge prediction.

I am very keen about combining both observations and high-resolution numerical models to gain process-level understanding of small-scale air-sea interactions. My ultimate goal is that at some point, I can translate the physical understandings gained from observations and modelling into parameterizations used in weather and climate models to better represent air-sea coupling.  

 

Current Research

At CIRES, I have been investigating the impacts of ocean mesoscale surface temperature spatial anomalies on trade-wind cumulus (or fair-weather cumulus) and their mesoscale organization in the context of a recent joint field campaign (EUREC4A/ATOMIC) in the Northwest Atlantic Ocean. I searched for imprints of these relative weak sea surface temperature (SST) variations in the satellite surface wind and satellite cloudiness fields using the composite method. It turned out that these weak yet ubiquitous SST spatial variations modulate near surface wind and trade-wind cloudiness spatially, as previously reported in regions with much stronger SST spatial anomalies. Cloudiness and wind speed are both slightly higher over warmer SSTs and lower over colder SSTs. Currently, I am using a cloud-resolving Large Eddy Simulations to further understand these observational results and the mechanism behind them. 

Research Categories

Atmosphere, Climate and Weather, Oceans
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Sponsors

CECA Member

Mar 1, 2021

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May 31, 2025
P.I.(s)

About CECA

CECA connects and creates a supportive environment for graduate students and postdocs who come from various academic units to do research in CIRES.