Description

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The workshop will bring together leaders in mathematics, statistics, and atmospheric sciences to confront grand climate challenges and their impacts. It will also serve as a precursor of a semester-long program. A major goal of the program will be to develop next-generation suites of science-driven mathematical and statistical tools and capabilities to address decision-relevant climate hazards and impacts, foster new multidisciplinary collaborations through workshops between host universities and partner institutions, and integrate young scientists and researchers into industry, private sector, and academic research through workshops and embedded research projects with affiliated universities, national labs, and private industry. The frequency, duration, and intensity of climate and weather extremes, such as extreme precipitation events, hurricanes, droughts, heat waves, floods, and severe weather outbreaks, are changing. Climate extremes such as these pose major risks to natural and human systems at local to regional scales. New mathematical and statistical techniques are crucial to understanding the dynamics and interactions between global climate and decision-relevant regional impacts and human health hazards. New methods and diagnostic tools are needed to evaluate weather/climate properties and extremes using a combination of observations, models and downscaled products, focusing on decision-relevant time scales and with an expanded sampling of known uncertainties.

Organizers

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V H
Vera Hur Mathematics
University of Illinois at Urbana-Champaign
B L
Bo Li Statistics
University of Illinois at Urbana-Champaign
R
Robert  Rosner Astrophysics
University of Chicago
R S
Ryan Sriver Atmospheric Sciences
University of Illinois at Urbana-Champaign

Speakers

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A B
Amy Braverman Jet Propulsion Laboratory and Caltech
T C
Tamma Carleton University of California, Santa Barbara
E G
Edwin Gerber New York University
C J
Chris Jones University of North Carolina, Chapel Hill
M J
Mikyoung Jun University of Houston
K K
Klaus Keller Pennsylvania State University
B K
Boualem Khouider University of Victoria
R L
Robert Lund University of California, Santa Cruz
R P
Raymond Pierrehumbert University of Oxford
L S
Leslie Smith University of Wisconsin–Madison
R S
Richard Smith University of North Carolina, Chapel Hill
S S
Susan Solomon MIT
M S
Michael Stein Rutgers University
L Z
Laure Zanna New York University

Schedule

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Monday, March 1, 2021
9:30-10:30 CST
Changepoints in Climate Data

Speaker: Robert Lund (University of California, Santa Cruz)

11:00-12:00 CST
Understanding past and future ocean warming: from theory to modeling

Speaker: Laure Zanna (New York University)

13:30-14:30 CST
Detection and Attribution for Spatial Extremes

Speaker: Richard Smith (University of North Carolina, Chapel Hill)

Tuesday, March 2, 2021
9:30-10:30 CST
Rate-Induced Tipping and its Relevance to Climate

Speaker: Chris Jones (University of North Carolina, Chapel Hill)

11:00-12:00 CST
Probing the Dynamical Role of Water using a Balanced-Unbalanced Decomposition

Speaker: Leslie Smith (University of Wisconsin – Madison)

13:30-14:30 CST
Uncertainty Quantification for Remote Sensing Data Products used in Climate Science and Applications

Speaker: Amy Braverman (Jet Propulsion Laboratory, Caltech)

Wednesday, March 3, 2021
9:30-10:30 CST
Parametric Models for Distributions When Extremes Are of Interest

Speaker: Michael Stein (Rutgers University)

11:00-12:00 CST
Improving Tropical Climate Simulations with Stochastic Models for Clouds

Speaker: Boualem Khouider (University of Victoria)

Thursday, March 4, 2021
9:30-10:30 CST
From Decision Making to Basic Research (and Back)

Speaker: Klaus Keller (Pennsylvania State University)

11:00-12:00 CST
Using climate econometrics to update the social cost of carbon

Speaker: Tamma Carleton (University of California, Santa Barbara)

13:30-14:30 CST
Climate Change Science and Policy: Hope for Our Planet

Speaker: Susan Solomon (Massachussetts Institute of Technology)

Friday, March 5, 2021
9:30-10:30 CST
Statistical and Machine Learning Methods Applied to the Prediction of Tropical Rainfall

Speaker: Mikyoung Jun (Texas A&M University; University of Houston)

11:00-12:00 CST
What happens on the fat-tail of high climate sensitivity?

Speaker: Raymond Pierrehumbert (Oxford University)

13:30-14:30 CST
Atmospheric model hierarchies: A bridge from theory to climate prediction

Speaker: Edwin Gerber (New York University)


Videos

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Changepoints in Climate Data

Robert Lund
March 1, 2021

Understanding past and future ocean warming: from theory to modeling

Laure Zanna
March 1, 2021

Detection and Attribution for Spatial Extremes

Richard Smith
March 1, 2021

Rate-Induced Tipping and its Relevance to Climate

Chris Jones
March 2, 2021

Probing the Dynamical Role of Water using a Balanced-Unbalanced Decomposition

Leslie Smith
March 2, 2021

Uncertainty Quantification for Remote Sensing Data Products used in Climate Science and Applications

Amy Braverman
March 2, 2021

Parametric Models for Distributions When Extremes Are of Interest

Michael Stein
March 3, 2021

Improving Tropical Climate Simulations with Stochastic Models for Clouds

Boualem Khouider
March 3, 2021

From Decision Making to Basic Research (and Back)

Klaus Keller
March 4, 2021

Using climate econometrics to update the social cost of carbon

Tamma Carleton
March 4, 2021

Statistical and Machine Learning Methods Applied to the Prediction of Tropical Rainfall

Mikyoung Jun
March 5, 2021

What happens on the fat-tail of high climate sensitivity?

Raymond Pierrehumbert
March 5, 2021

Atmospheric model hierarchies: A bridge from theory to climate prediction

Edwin Gerber
March 5, 2021