Claudie Beaulieu

About

Claudie Beaulieu is an associate professor in the Ocean Sciences Department at the University of California, Santa Cruz, since 2022. Her primary areas of expertise include ocean and climate variability and change, as well as applied statistics. She has a background that includes a PhD in Water Sciences from INRS-ETE, University of Quebec, obtained in 2009, and a BSc in Statistics from Université Laval in 2003. Her professional experience includes positions as an assistant professor and associate professor at UCSC, as well as visiting academic roles at the University of Southampton and a postdoctoral researcher at Princeton University. Her research focuses on oceanography and climate data science, contributing to the understanding of climate change impacts on ocean systems.

Research topics

• Environmental science
• Oceanography
• Geology
• Climatology
• Mathematics
• Botany
• Statistics
• Physics
• Biology

Selected publications

• Pending recovery in the strength of the meridional overturning circulation at 26° N

  Ocean science · 2020 · 124 citations

  Abstract. The strength of the Atlantic meridional overturning circulation (AMOC) at 26∘ N has now been continuously measured by the RAPID array over the period April 2004–September 2018. This record provides unique insight into the variability of the large-scale ocean circulation, previously only measured by sporadic snapshots of basin-wide transport from hydrographic sections. The continuous measurements have unveiled striking variability on timescales of days to a decade, driven largely by win…

  DOI

• Regional surface chlorophyll trends and uncertainties in the global ocean

  Scientific Reports · 2020 · 52 citations

  , highlighting the importance of considering chlorophyll changes at a regional level. We compare these results with estimates obtained with the commonly used "vague" prior, representing no independent knowledge; coupled model priors are shown to slightly reduce trend magnitude and uncertainties in most regions. The statistical model used here provides a robust framework for making best use of all available information and can be applied to improve understanding of global change.

  DOI

• Detectability of an AMOC Decline in Current and Projected Climate Changes

  Geophysical Research Letters · 2020 · 49 citations

  Abstract Determining whether the Atlantic Meridional Overturning Circulation (AMOC)'s transport is in decline is challenging due to the short duration of continuous observations. To estimate how many years are needed to detect a decline, we conduct a simulation study using synthetic data that mimics an AMOC time series. The time series' characteristics are reproduced using the trend, variance, and autocorrelation coefficient of the AMOC strength at 26.5°N from 20 Coupled Model Intercomparison Pr…

  DOI

• Assessing Predictability of Marine Heatwaves With Random Forests

  Geophysical Research Letters · 2022-11-24 · 42 citations

  articleOpen accessCorresponding

  Abstract Marine heatwaves (MHWs) have increased in frequency and duration over the last century and are expected to intensify in the future. Such events have become an increasing threat for marine ecosystems and subsequently the economies and populations that rely on them. Here we apply random forests to assess skill in forecasting MHWs onset and severity at multiple prediction lead times. Random forests models are trained on a range of atmospheric and oceanic conditions to identify precursors o…

  PublisherOA PDFDOI

• Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review

  Journal of Climate · 2023-08-14 · 23 citations

  reviewOpen access

  Abstract Climate changepoint (homogenization) methods abound today, with a myriad of techniques existing in both the climate and statistics literature. Unfortunately, the appropriate changepoint technique to use remains unclear to many. Further complicating issues, changepoint conclusions are not robust to perturbations in assumptions; for example, allowing for a trend or correlation in the series can drastically change changepoint conclusions. This paper is a review of the topic, with an emphas…

  PublisherOA PDFDOI

Recent grants

• CAREER: Space-time Variations in the Pace of Surface Temperature Change

  NSF · $697k · 2022–2027

Frequent coauthors

• Taha B. M. J. Ouarda

  60 shared

• Ousmane Seidou

  42 shared

• Samir Gharbi

  Institut National de la Recherche Scientifique

  34 shared

• Stephanie Henson

  National Oceanography Centre

  32 shared

• Davide Faranda

  Université Paris Sciences et Lettres

  21 shared

• Jorge L. Sarmiento

  16 shared

• Damien Desbruyères

  Ifremer

  15 shared

• Rebecca Killick

  11 shared

Labs

• Ocean and Climate Data SciencePI

  Quantify ocean & climate variability and change through a data science lens.

Similar researchers at University of California, Santa Cruz

• Steven Bogradh-81
• Ilan Benjaminh-44
• David Belangerh-34