I am a climate scientist and a lecturer (equivalent to Assistant Professor) in the School of Ocean and Earth Science at the University of Southampton. Before relocating to the UK, I served as a Postdoctoral Scholar at WHOI, subsequent to earning my Ph.D. from Harvard University.

My research focuses on developing statistical and physical tools to quantify and elucidate the mechanisms underlying climate change. My interests are wide-ranging and include, but are not limited to:
(1) Climate data and statistical climatology,
(2) Machine learning applications in climate and environmental studies,
(3) Climate variability and projections,
(4) The physics and dynamics of climate change,
(5) Strategies for climate adaptation and policy formulation.

I led the development of the Dynamically Consistent Ensemble of Temperature (DCENT). I have published papers in Nature, Nature Food, Science Advances, Journal of Climate, and other top-tier journals in Earth and Climate Sciences. My work has been featured by NPR, Science, and other international media.

Email: Duo.Chan@soton.ac.uk

DCENT is Now Available!

Dynamically Consistent Ensemble of Temperature (DCENT) is published! DCENT is an ensemble of historical earth surface temperature estimates with sophisticated bias adjustments and comprehensive uncertainty quantification. More details can be found here.

Paper, Data access.

Recruiting PhD Students!

I am currently recruiting two PhD students. Successful candidates will be awarded a full fellowship for at least three years.

Application Requirements:
(1) A strong interest in climate change.
(2) A solid background in mathematics and sciences. A Master’s or Bachelor’s degree in mathematics, physics, computer science, atmospheric or oceanic sciences is preferred.
(3) Proficiency in English communication and academic skills.

Please do not hesitate to contact me directly.

HIGHLIGHTED PUBLICATIONS

  • Chan D., Gebbie G., Huybers P., & Kent E. (2024). A Dynamically Consistent ENsemble of Temperature at the Earth surface since 1850 from the DCENT dataset. Scientific Data . link, pdf, data, code

  • Chan D., Vecchi G., Yang W., & Huybers P. (2021). Improved simulation of 19th- and 20th-century North Atlantic hurricane frequency after correcting historical sea surface temperatures. Science Advances, 7(26), eabg6931. link, pdf, code, data

  • Chan D., Kent E., Berry D. & Huybers P. (2019). Correcting datasets leads to more homogeneous early 20th century sea surface warming. Nature , 571, 393-397. link, code, data, Harvard Gazette, NPR news