Member Since 2006
Claudia Tebaldi
Earth Scientist, Pacific Northwest National Laboratory, Joint Global Change Research Institute
Professional Experience
Pacific Northwest National Laboratory, Joint Global Change Research Institute
Earth Scientist
2019 - Present
National Center for Atmospheric Research
Project Scientist
2013 - 2019
Climate Central
Staff Scientist
2008 - 2013
National Center for Atmosperic Research
Project Scientist
2001 - 2007
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Education
Duke University
Doctorate
1997
Honors & Awards
Union Fellow
Received December 2023
Citation
For outstanding contributions in statistics and climate science leading to improved understanding of climate change including extreme events.
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Outstanding Reviewer Award - Geophysical Research Letters
Received December 2022
Outstanding Reviewer Award - Geophysical Research Letters
Received December 2013
Publications
Scenario Discovery Analysis of Drivers of Solar and Wind Energy Transitions Through 2050
Deep human‐Earth system uncertainties and strong multi‐sector dynamics make it difficult to anticipate which conditions are most likely...
August 21, 2023
The Climatic Impact‐Driver Framework for Assessment of Risk‐...
November 16, 2022
Characteristics of Future Warmer Base States in CESM2
September 18, 2020
Probabilistic 21st and 22nd century sea‐level projections at...
August 21, 2014
AGU Abstracts
Bridging the gap from evidence to projections: Assessing the influence of equilibrium climate sensitivity uncertainty on probabilistic temperature projections
MULTISECTOR DYNAMICS: ADVANCES IN MODELING, EMULATION, AND UNCERTAINTY CHARACTERIZATION OF HUMAN AND EARTH SYSTEMS III POSTER
global environmental change | 13 december 2023
Joseph K Brown, Kalyn Dorheim, Abigail Snyder, Cla...
With the current pace of global change, understanding the sensitivity of the Earth system to human influence has become increasingly crucial. Equilibr...
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Multi-model projections and their uncertainty, extreme characterization, and integrated modeling: the continued challenges in assigning numbers to the risk from climate change.
ATMOSPHERIC SCIENCES 2023 FELLOWS
atmospheric sciences | 13 december 2023
Claudia Tebaldi
Despite the cogency of addressing risks from climate change and the availability of terabytes of data, robust quantitative estimates of these risks st...
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Evaluating the climate impacts on interannual crop yield variations through a machine learning-based transfer algorithm
APPLICATIONS OF MACHINE LEARNING AND DEEP LEARNING TO ADDRESS ENVIRONMENTAL CHALLENGES AND SUSTAINABLE DEVELOPMENT GOALS II ORAL
global environmental change | 12 december 2023
Srishti Vishwakarma, Stephanie Waldhoff, Abigail S...
Crop production is susceptible to annual biophysical shocks from weather phenomena that are increasingly becoming more extreme and potentially more da...
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