Advanced Climate Science

Climate
Modeling

Planetary-scale Earth simulations known as global climate model projections are the primary sources of information on future climate change.

Climate models are based on mathematical equations represented using a grid mesh that covers the globe: a finer grid mesh is more accurate but much more computationally expensive. Current global climate projections agree that a world with more greenhouse gases will be warmer everywhere, especially over land and at high latitudes. However, the current understanding of high-risk outcomes like rainfall extremes are more uncertain, and these changes have the potential to impact billions of people.

Better, Faster Climate Models

Working to improve the way communities make decisions about climate change.

A representation of the refined mesh work from the Vulcan Climate Modeling team


Project Goals

Build Faster Climate Change Models

Since the early days of climate modeling inception, software, hardware, and the way that engineers and scientists collaborate have gone through incredible transformations. At Vulcan, our mission is to accelerate climate science by building models that exploit the world’s fastest supercomputers, modern programming languages, and coding best practices. 

Develop Smarter, More Accurate Simulations with Machine Learning

We're building modern machine learning into current climate models to improve their performance in key areas and ultimately to refine climate change predictions. Our goal is to reduce existing errors in simulated rainfall extremes and trends by half. Image courtesy of Dr. Xi Chen and FV3 group, GFDL.

Create Open-Source and Collaborative Solutions

We're developing open-source software so the broader climate modeling community can easily adopt our advances. We partner with a leading climate modeling center, NOAA’s Geophysical Fluid Dynamics Laboratory, to ensure our work builds on their valuable experience and has the quickest impact.

Partnering for Success

What we do wouldn’t be possible without the strong collaboration and partnerships with these organizations:

Our Team

We're an inquisitive and passionate team of software engineers, machine learning and AI specialists, and climate scientists who want to improve climate modeling in hopes that communities everywhere can make better decisions about climate change.

Chris Bretherton
Sr. Director, Climate Modeling
Google Scholar
Oliver Fuhrer
Sr. Director, Climate Modeling
Google Scholar
Anna Kwa
Machine Learning Scientist
LinkedIn
Andre Perkins
Machine Learning Scientist
LinkedIn
Brian Henn
Machine Learning Scientist
LinkedIn
Eddie Davis
Software Engineer
LinkedIn
Jeremy McGibbon
Machine Learning Scientist
LinkedIn
Johann Dahm
Software Engineer
LinkedIn
Mark Cheeseman
Scientific Programmer
LinkedIn
Noah Brenowitz
Senior Machine Learning Scientist
Website
Oli Watt-Meyer
Machine Learning Scientist
LinkedIn
Oliver Elbert
Software Engineer
LinkedIn
Rhea George
Software Engineer
LinkedIn
Spencer Clark
Software Engineer
LinkedIn
Tobias Wicky
Software Developer
LinkedIn

Join the Vulcan Team

Working at Vulcan