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Minisymposium Presentation

Discussion: Scaling Data-Driven Methods for Aerosols and Clouds to Global Climate Predictions

Wednesday, June 5, 2024
10:30
-
11:00
CEST
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Climate, Weather and Earth Sciences
Chemistry and Materials
Chemistry and Materials
Chemistry and Materials
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
Humanities and Social Sciences
Humanities and Social Sciences
Humanities and Social Sciences
Engineering
Engineering
Engineering
Life Sciences
Life Sciences
Life Sciences
Physics
Physics
Physics

Presenter

Nicole
Riemer
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University of Illinois Urbana-Champaign

Nicole Riemer is a Professor at the Department of Atmospheric Sciences and an Affiliate of the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. She received her Doctorate degree in Meteorology from the University of Karlsruhe, Germany. Her research focus is the development of computer simulations that describe how aerosol particles are created, transported, and transformed in the atmosphere. Her group uses these simulations, together with observational data, to understand how aerosol particles impact human health, weather, and climate. Nicole Riemer received the NSF CAREER award, the College of Liberal Arts & Sciences Dean’s Award for Excellence in Undergraduate Teaching, and the AGU Ascent award. She is the co-chair of the Aerosol Processes Working Group of the Department of Energy Atmospheric System Research program, and editor for Aerosol Science & Technology and Journal of Geophysical Research.

Presenter

Matthew
West
-
University of Illinois Urbana-Champaign

Matthew West is a Professor of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. His research interests include scientific computing, stochastic simulation, and machine learning, especially as applied to earth system modeling and atmospheric aerosols.

Description

Following the presentations, we will have a discussion on the challenges and the potentials of scaling data-driven methods for aerosols and clouds to global climate predictions.

Authors