Yu Gao - Physical Oceanographer | Data Scientist

Welcome to My Professional Portfolio

I am Yu Gao, a Research Associate at the Woods Hole Oceanographic Institution. My expertise lies at the intersection of physical oceanography and data science, focusing on unraveling the complexities of ocean dynamics and their impact on climate change. With ongoing projects aimed at deep ocean exploration and advanced satellite data analysis, I'm committed to advancing our understanding of the ocean's influence on global climate systems.

Current Projects

  • SWOT Satellite Data Analysis: Utilizing advanced Python-based techniques to process and analyze large volumes of SWOT InSAR LR altimetry expert data products. Conducting thorough analysis of SWOT data in conjunction with oceanographic and meteorological data from diverse sources to investigate air-sea interaction and ocean dynamics.
  • High Frequency Radar and Wave Glider Data Processing: Performing advanced processing of High Frequency radar data and wave glider data into high-quality data products to support studies of mesoscale and submesoscale ocean dynamics.
  • Deep Ocean Temperature and Salinity Data Quality Control: Conducting rigorous quality control procedures on deep ocean temperature and salinity measurements, including data validation, error detection, and calibration. Processing the data using standardized methods to generate consistent, well-documented datasets suitable for open source distribution and collaborative open science initiatives.

Academic Achievements

  • Ph.D. in Meteorology and Physical Oceanography
    • University of Miami, 2022
    • Research focus: Mesoscale air-sea interaction and mixed layer variability in the Southern Ocean
  • B.Sc. in Marine Science
    • Ocean University of China, 2016

Research Interests

  • Ocean circulation and air-sea interaction
  • Ocean's role in the climate system
  • Deep Ocean Exploration: Investigating temperature and salinity in the ocean's abyssal zones.
  • Advanced Satellite Data Utilization: Enhancing ocean surface dynamics analysis through SWOT data assimilation.

Professional and Technical Skills

  • Programming Skills: Proficient in Python, with Fortran skills.
  • Software Engineering: Experienced in git version control and best software development practices.
  • Data Analysis & Modeling: Skilled in analyzing large observational data sets and model outputs, familiar with high-resolution air-sea coupled models and data assimilation techniques.
  • Computing Environments: Proficient with high-performance computing (HPC) and cloud computing.

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