Claudie Beaulieu
University of California-Santa Cruz, CA·Earth & Environmental Science·Early-career
Discussions of climate change usually ask how much the Earth has warmed. An equally important question is how fast it is warming.
- Fields
Earth & Environmental Science
Mathematics & Statistics
- Topics
climate change
global warming
rate of warming
- Grants
- 1 known grant, through Aug 2027
What they work on
- Identify coherent regions and periods with accelerated surface warming over the last two centuries by applying statistical analysis to global climate observations.
- Use climate model simulations to determine whether detected changes in the rate of warming come from human, natural or random causes.
- Quantify how the pace of surface temperature change may vary across regions through the end of this century using model simulations.
- Build, with undergraduate students, an interactive dashboard that monitors the rate of temperature change worldwide, including on Indigenous ancestral lands, and write an open R-based digital book on environmental data science.
More about the research
The pace of warming changes from place to place and from decade to decade. Speed-ups are especially worrying because they may trigger climate feedbacks, and because they leave less time for species, ecosystems and communities to adapt.
Why it matters
Tracking where and when warming speeds up could give communities at risk, resource managers and policy makers earlier warning to make timely decisions about adaptation. Identifying hotspots of rapid warming could also help focus efforts to protect biodiversity and ecosystems that have less time to adjust. The open dashboard and R textbook would make these data and skills available to educators and the public.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Andrew Gronewold
University of Michigan, MI·Earth & Environmental Science
Produce reliable projections of how often and how intensely climate-driven floods, droughts and related hazards will strike U.S.-Canada transboundary waters, starting with the Great Lakes, using statistical and process-based models.
Jason Smerdon
Columbia University, NY·Earth & Environmental Science
Reconstruct wet-season rainfall over at least the last 200 years across the neotropics by measuring stable oxygen isotopes (δ18O) in tree-ring cellulose from Guatemala, Honduras, Ecuador, Peru, Bolivia and Chile.
Guiling Wang
University of Connecticut, CT·Earth & Environmental Science
Develop machine learning and deep learning models that predict global vegetation properties from selected climate variables, trained on satellite remote sensing, reanalysis data and CMIP6 Earth System Model output.
The school
University of California-Santa Cruz: 15 labs on PI Pages, $218M a year on research, 183 research doctorates a year.
Reach out
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