Danqiong Dai, Ph.D.

Postdoctoral Fellow

Department of Physics and Astronomy · Western University

Groundwater–Land–Climate Interactions under Global Change

Understanding and modelling the interactions among human disturbances, groundwater, boreal wetland ecosystems, and climate to support sustainable water management and community resilience.

About

I am a postdoctoral researcher in the Department of Physics and Astronomy at Western University. My research focuses on groundwater–land–climate interactions under global change, linking human water use, cold-region ecosystems, and land surface modelling.

I am particularly drawn to challenging scientific problems where existing modelling frameworks reach their limits. One major focus of my research is understanding how human activities, particularly agricultural irrigation and groundwater pumping, influence the terrestrial water cycle and interact with climate extremes. Another major focus is boreal forest wetland hydrology, where I investigate how soil hydraulic processes, groundwater interactions, and cold-region processes control wetland hydrological dynamics and how these processes can be better represented in land surface models.

My research combines process-based land surface and regional climate models with observational datasets and computational approaches to investigate these complex interactions. More broadly, I aim to improve the representation of terrestrial hydrological processes and human management activities in Earth system models and to develop more physically realistic and predictive modelling frameworks.

Research Interests

My long-term research aims to understand and model the complex interactions among human disturbances, groundwater, ecosystems, and climate through three interconnected and complementary research directions.

Human-Water-Climate Nexus

Investigating how groundwater pumping and agricultural irrigation alter regional water cycles and feed back on climate, with the goal of supporting sustainable water management.

Climate–Groundwater–Ecosystem Interactions

Exploring how climate change influences cold-region groundwater, wetland connectivity, and ecosystem resilience, with a focus on the hydrological processes linking groundwater and boreal forest wetlands.

Next-Generation Land Surface Modeling

Aiming to integrate physical process understanding and artificial intelligence in land surface–groundwater models to improve hydrological and climate prediction.

Publications

Published articles

Manuscripts in revision

Towards Modelling Hydrological Processes of Boreal Forest Wetland: Implications from a High-Latitude Site and Multi-Model Analysis

Dai, D., et al.

In revision · Planned submission to Journal of Hydrology

Research Experience

Postdoctoral Fellow

Western University

2024 – Present · London, Ontario, Canada

Visiting Researcher

National Center for Atmospheric Research (NCAR)

2024 · Boulder, Colorado, USA

Postdoctoral Fellow

Global Institute for Water Security, University of Saskatchewan

2023 – 2024 · Saskatoon, Saskatchewan, Canada

Visiting Researcher

National Center for Atmospheric Research (NCAR)

2023 · Boulder, Colorado, USA

Research Assistant

Global Institute for Water Security, University of Saskatchewan

2022 – 2023

Visiting Doctoral Student

Global Institute for Water Security, University of Saskatchewan

2021 – 2022

Doctoral Research Assistant

Institute of Atmospheric Physics, Chinese Academy of Sciences

2017 – 2021 · Beijing, China

Education

Ph.D. in Atmospheric Sciences

Institute of Atmospheric Physics, Chinese Academy of Sciences

2016 – 2023 · Beijing, China

B.S. in Atmospheric Physics

Nanjing University of Information Science and Technology

2012 – 2016 · Nanjing, China

Selected Presentations

CMOS Meeting, 2024
Detecting Canadian Wetland Surface Water Extent: integrating deep learning, remote sensing data and high resolution Land Surface Model.

AGU Fall Meeting, 2023
Quantifying irrigation activities in North China Plain using census data and Noah-MP model.

First International Noah-MP Annual Users' Workshop, 2023
Modeling irrigation activities in North China Plain: from a realistic perspective.

Technical Skills

Programming

Python FORTRAN NCL MATLAB Bash

Earth System & Hydrological Models

WRF HRLDAS Noah-MP CLM CLASSIC CESM WRF-Hydro DNDC

Python Ecosystem

Pandas NumPy Xarray GeoPandas Cartopy

Contact

Department of Physics and Astronomy
Western University
London, Ontario, Canada

Email: danqiong.dai@uwo.ca

LinkedIn   ·   GitHub

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