Claudia Tebaldi | |
---|---|
Alma mater | Duke University Università Bocconi |
Scientific career | |
Institutions | Joint Global Change Research Institute |
Thesis | Bayesian analysis of network flow problems (1997) |
Claudia Tebaldi is an Italian American statistician and climate change researcher at the Joint Global Change Research Institute. Her research evaluates extreme climate events. She was the first to predict that global warming would bring more intense, frequent and longer lasting heat waves. She was elected a Fellow of the American Geophysical Union in 2023. [1]
Tebaldi grew up in Italy. She studied economics at the Università Bocconi. completed her doctoral studies in statistics at Duke University. Her doctorate involved a Bayesian analysis of network flow problems. [2] She was interested in her applying her statistics to a real world problem, so started working on climate change projections. She moved to the National Center for Atmospheric Research as a postdoctoral fellow in the Geophysical Statistics Project. [3] Her early work studied clean-air turbulence for aviation safety. [4]
Tebaldi uses statistical analysis to better understand climate change. She is a researcher in the Pacific Northwest National Laboratory – University of Maryland Joint Global Change Research Institute. In particular, her research considers extreme climate events, including intense heat and intense precipitation. In 2004 she explained that climate change would bring “more intense, more frequent and longer lasting heat waves in the 21st century,”. [5]
She modelled the impact of sea level rise on storm surges along the coasts of the United States. [6] Her research predicted substantial changes in the frequency of extreme water levels, even in areas with low sea level rise. [6]
She went on to study extreme sea levels in various climate scenarios (global warming from 1.5 to 5ºC), and found that extreme sea levels would become more common all around the world. [7]
Tebaldi led the international body for the Intergovernmental Panel on Climate Change. In 2023 she was elected Fellow of the American Geophysical Union. [8]
Numerical climate models are mathematical models that can simulate the interactions of important drivers of climate. These drivers are the atmosphere, oceans, land surface and ice. Scientists use climate models to study the dynamics of the climate system and to make projections of future climate and of climate change. Climate models can also be qualitative models and contain narratives, largely descriptive, of possible futures.
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