The Climate Modeling Alliance is a coalition of scientists, engineers, and applied mathematicians from Caltech, MIT, the Naval Postgraduate School, and NASA’s Jet Propulsion Laboratory. We are building the first Earth system model that automatically learns from diverse data sources to produce accurate climate predictions with quantified uncertainties. Our predictions will inform stakeholders as they plan resilient infrastructure, adapt supply chains to a changing climate, and assess the risks of climate-related hazards in their communities.
A New Approach to Climate Modeling
We are developing the first Earth system model that automatically learns from diverse data sources. Our model will exploit advances in machine learning and data assimilation to learn from observations and from data generated on demand in targeted high-resolution simulations, for example, of clouds or ocean turbulence. This will allow us to reduce and quantify uncertainties, for accurate and actionable climate predictions.
We are engineering a modeling platform that is scalable and built for growth. It will exploit state-of-the-art algorithms to run on the world’s fastest supercomputers, with hardware architectures that include accelerators such as graphics processing units. It will be scalable to ever finer resolution globally, and its targeted high-resolution simulations will provide detailed local climate information where needed.
We are committed to transparency and open science principles. Our modeling platform is open source, and our results are available to the public. We will provide interfaces to our modeling platform so that it can become the anchor of an ecosystem of front-end apps. These apps may provide detailed models, for example, of flood risks, crop yields, and other climate impacts.
Meet Our Funders
Our work is supported by a consortium of private foundations and federal agencies, led by the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program, and including Mission Control for Earth, the National Science Foundation, and Paul G. Allen Family Foundation.