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Climate Intervention Whiteboard Videos
These videos were created to describe research on stratospheric aerosol injection (SAI) climate intervention for a general audience. They highlight contributions from the Barnes, Hurrell, and Keys research groups at Colorado State University and collaborators.
For further information about climate intervention, we encourage people to visit the National Academies of Science, Engineering, and Medicine report and the American Meteorological Society position statement.
Introduction to
Climate intervention
Climate intervention
What is climate intervention?
Stratospheric Aerosol Injection Scenarios
The scenarios used for computer simulations help researchers to understand how design choices may affect the future.
Collective Actor Scenario Impacts
An overview of potential impacts and risks of “collective actor” scenarios where stratospheric aerosol injection is hypothetically used by the global community to maintain or reduce temperature.
Detection &
Perception
Perception
The variability of the climate poses challenges for rapid detection and societal perception of any intervention.
Project leaders
Daniel Hueholt, Elizabeth Barnes, Jim Hurrell, and Patrick Keys
Scripts written collaboratively by
Marybeth Arcodia, Elizabeth Barnes, Curtis Bell (SAI Scenarios), Zaibeth Carlo Frontera, Charlotte Connolly, Megan Franke, Daniel Hueholt, Jim Hurrell, Patrick Keys, Ariel Morrison, and Elina Valkonen
Scripts assessed by three independent reviewers in and outside of climate science before recording
Audio recorded by
Marybeth Arcodia, Elizabeth Barnes, Zaibeth Carlo Frontera, Charlotte Connolly, Megan Franke, Daniel Hueholt, Jim Hurrell, Patrick Keys (Introduction to Climate Intervention and SAI Scenarios), and Ariel Morrison
Art and video creation
Heartwood Visuals
Climate Science @ the Barnes Group
These videos all start and end the same, highlighting different research activities in the middle.
Subseasonal-to-decadal prediction
The climate system is notoriously difficult to predict and we use explainable AI to try and improve predictions.
robust & trustworthy ai for climate science
Explainable and trustworthy AI helps climate scientists gauge their trust in AI models, fine tune and optimize, and learn new science.
climate responses & intervention
We use explainable AI to better detect earth system responses to anthropogenic emissions, including climate interventions.
forced change detection
We use explainable AI to detect regional patterns of change and evaluate climate model simulations against observations.