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Ruoying He

Ruoying He

· Goodnight Innovation Distinguished Professor

North Carolina State University · Earth Sciences

Active 2001–2026

h-index49
Citations8.2k
Papers22452 last 5y
Funding$999k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Ruoying He is a Goodnight Innovation Distinguished Professor at NC State University within the Department of Marine, Earth, and Atmospheric Sciences. Her contact information includes a phone number and email address, indicating her active engagement in research and academic activities. The page does not provide specific details about her research focus, background, or key contributions, but her title as a distinguished professor suggests a significant role in her field.

Research topics

  • Environmental science
  • Computer Science
  • Ecology
  • Engineering
  • Environmental planning
  • Business
  • Environmental resource management
  • Chemistry
  • Geography
  • Economics

Selected publications

  • Characterization of Extreme Wave Conditions for Wave Energy Converter Design and Project Risk Assessment

    Journal of Marine Science and Engineering · 2020 · 41 citations

    Senior authorCorresponding

    Best practices and international standards for determining n-year return period extreme wave (sea states) conditions allow wave energy converter designers and project developers the option to apply simple univariate or more complex bivariate extreme value analysis methods. The present study compares extreme sea state estimates derived from univariate and bivariate methods and investigates the performance of spectral wave models for predicting extreme sea states at buoy locations within several r…

  • OceanNet: a principled neural operator-based digital twin for regional oceans

    Scientific Reports · 2024-09-11 · 30 citations

    articleOpen accessSenior author

    While data-driven approaches demonstrate great potential in atmospheric modeling and weather forecasting, ocean modeling poses distinct challenges due to complex bathymetry, land, vertical structure, and flow non-linearity. This study introduces OceanNet, a principled neural operator-based digital twin for regional sea-suface height emulation. OceanNet uses a Fourier neural operator and predictor-evaluate-corrector integration scheme to mitigate autoregressive error growth and enhance stability…

  • Towards integrated modeling of the long-term impacts of oil spills

    Marine Policy · 2021 · 24 citations

  • Gulf Stream Near Cape Hatteras Modulates Sea Level Variability Along the Southeastern Coast of North America

    Geophysical Research Letters · 2025-04-01 · 4 citations

    articleOpen accessSenior authorCorresponding

    Abstract Studies suggest a strong link between low‐frequency sea level variability in the South Atlantic Bight (SAB) and open ocean dynamics. However, the mechanisms driving this connection remain unclear. By analyzing a high‐resolution, three‐dimensional baroclinic ocean reanalysis, we identify a pathway that links open ocean dynamics to SAB coastal sea level variability through the shelf edge near Cape Hatteras. Gulf Stream meanders in this region induce sea level fluctuations that propagate a…

  • Winter-Spring dynamics of dissolved organic carbon fluxes driven by precipitation in a North Carolina tidal marsh

    Estuarine Coastal and Shelf Science · 2025-05-15 · 4 citations

    articleOpen access

    The lateral transport of dissolved organic carbon (DOC) is crucial in tidal marsh carbon budgets, but estimating DOC remains a challenge due to the dynamic nature of terrestrial-aquatic interfaces and limitations of in situ observations. This study used a linear model to correlate DOC and chromophoric dissolved organic matter (CDOM) absorption coefficient at 440 nm ( a CDOM (440); r 2 = 0.75) in Bald Head Creek, North Carolina, USA. Modeled DOC concentrations were merged with current velocity de…

Recent grants

Frequent coauthors

Labs

  • Marine, Earth and Atmospheric SciencesPI

Awards & honors

  • Goodnight Innovation Distinguished Professor

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