PNNL

Dr. Huo is a climate scientist specializing in the dynamics of high-latitude climate systems and poleward energy transport. Her research aims to uncover critical scientific insights into the causes and consequences of Arctic warming, sea ice and snow loss, and broader environmental changes in the Arctic region. By using observations, reanalysis data, and model simulations, Dr. Huo investigates the intricate interactions between the atmosphere, ice, and ocean over the polar regions. 

Her work employs a hierarchy of numerical models, from 1D energy balance models to regionally refined meshes with global climate models, to investigate the intricate processes influencing poleward energy transport and high-latitude climate systems. Dr. Huo combines these modeling efforts with advanced statistical techniques and machine learning to provide a comprehensive analysis of the factors shaping Arctic climate dynamics and their global implications. 

With extensive experience in Earth system modeling and feedback analysis, Dr. Huo has made significant contributions to understanding the impacts of Arctic amplification, sea ice decline and atmospheric circulation changes on both polar and global climates. Passionate about advancing climate science, Dr. Huo actively contributes to addressing challenges in Arctic climate simulations and improving climate projections to better inform mitigation and adaptation strategies.

My research focuses on understanding the mechanisms driving poleward energy transport and the complex dynamics of high-latitude climate systems. By using climate models, advanced statistical techniques, and machine learning, I aim to unravel the interactions between the atmosphere, ice, and ocean. My work seeks to deepen our knowledge of climate feedbacks, their role in polar amplification, and their broader implications for global climate change.

Disciplines

Climate Science, Atmospheric Dynamics, Polar and High-Latitude Climate Systems, Earth System Modeling, Ocean-Atmosphere Interactions, Arctic Amplification

Skills

General: 

• Problem Solving 
• Independent Research 
• Teamwork 
• Academic Writing 
• Presentation 
• Teaching/Mentoring 

Technical:

• High Performance & Scientific Computing (Python, MATLAB, R)
• Numerical Modeling (e.g., E3SM, CESM, WRF)
• Geospatial Analysis 
• Statistical Analysis
• Data Visualization and Communication

2022    Ph.D., Physics                                                   

University of Toronto, Canada 

Climate Dynamics and Climate Modeling 

2015   B.S., Atmospheric Science          

Nanjing University, China 

Journal Paper Reviews:

Journal of Geophysical Research: Atmospheres: 2024

Climate dynamics: 2022, 2023

Paleoceanography and paleoclimatology: 2023

• Oct. 2024 - Outstanding Contribution to the HiLAT project in FY24
• 2015–2022 - Faculty for Arts and Sciences Graduate Fellowship Award  (University of Toronto) 
• Dec. 2019 - AGU Fall Meeting Student Travel Grant 
• April 2019 - 27th IUGG General Assembly Travel Grant 
• June 2017 - ASP Summer Colloquium (NCAR) Full Stipend 
• Nov. 2014 - Hongtaiyang Scholarship (Nanjing University) 
• Feb. 2014 - MITACS Globalink Research Internship Award 
• Dec. 2013 - Liaoshi Scholarship (Nanjing University) 
• Sep. 2013 - The 2nd Asian Youth Games, Nanjing 2013 Volunteer Certificate 
• July 2013 - Excellent Performance during the USTC Summer Camp (University of Science and Technology of China) 
• Nov. 2012 - National Scholarship (Education Ministry of China) 

Yiling Huo, Hailong Wang, Milena Veneziani, et al. E3SM-Arctic: Regionally Refined Coupled Model for Advanced Understanding of Arctic Systems Interactions. ESS Open Archive, 10.22541/essoar.172745745.54113167/v1, 2024.

Parvathi Madathil Kooloth, Jian Lu, Yi Huang, Derek DeSantis, Yiling Huo, Fukai Liu, Hailong Wang, Nonlocal, Pattern-aware Response and Feedback Framework for Regional Climate Change, Journal of Climate, submitted, 2024

Yiling Huo, Hailong Wang, Jian Lu, Qiang Fu, Alexandra K. Jonko, Younjoo J. Lee, Weiming Ma, Wieslaw Maslowski and Yi Qin, Assessing Radiative Feedbacks and their Contribution to the Arctic Amplification Measured by Various Metrics, Journal of Geophysical Research: Atmospheres, 129, e2024JD040880, 2024. 

Weiming Ma, Hailong Wang, Gang Chen, Yun Qian, Ian Baxter, Yiling Huo and Mark W. Seefeldt, Wintertime Extreme Warming Events in the High Arctic: Characteristics, Drivers, Trends, and the Role of Atmospheric River, Atmospheric Chemistry and Physics, 24, 4451–4472, 2024. 

Yiling Huo, W. Richard Peltier and Deepak Chandan, Mid-Holocene climate on the Tibetan Plateau and hydroclimate in three major river basins based on high-resolution regional climate simulations, Climate of the Past, 18, 2401–2420, 2022. 

Yiling Huo, W. Richard Peltier and Deepak Chandan, Mid-Holocene Monsoons in South and Southeast Asia: Dynamically Downscaled Simulations and the Influence of the Green Sahara, Climate of the Past, 56, 2597–2616, 2021. 

Yiling Huo, and W. Richard Peltier, The Southeast Asian Monsoon: Dynamically Downscaled Climate Change Projections and High Resolution Regional Ocean Modelling on the Effects of the Tibetan Plateau, Climate Dynamics, 17, 1645–1664, 2021. 

Yiling Huo, and W. Richard Peltier, Dynamically Downscaled Climate Change Projections for the Indian Monsoon: Mean and Extreme Precipitation Changes and Physics Parameterization Impacts, Journal of Climate, 33, 2311–2331, 2020. 

Yiling Huo and W. Richard Peltier, Dynamically Downscaled Climate Simulations of the Indian Monsoon in the Instrumental Era: Physics Parameterization Impacts and Precipitation Extremes, Journal of Applied Meteorology and Climatology, 58(4): 831-852, 2019.