Collection of publications or videos highlighting E3SM

Sandia’s Mark Taylor. Image courtesy of Sandia National Laboratories.

November 19, 2020

ASCR Discovery:

Climate on a New Scale

Sandia’s Mark Taylor explains how DOE’s Energy Exascale Earth System Model will harness the next level of supercomputer to explore big climate questions.

The August Complex, at more than 1 million acres, is the state’s first “gigafire” to occur since at least 1932. Research shows that human-caused climate change bears much of the blame.

October 21, 2020

The Washington Post:

This is What Fuels the West’s Infernos

Ruby Leung was interviewed about wildfires in this Washington Post story and cited on the sharpening of the precipitation seasonal cycle in California and implications for wildfires that can be addressed using E3SM.

At 1-kilometer resolution, a European climate model (left) is nearly indistinguishable from reality (right).

October 1, 2020

Science Magazine:

Europe is building a ‘digital twin’ of Earth to revolutionize climate forecasts

Ruby Leung was interviewed for this article which noted E3SM’s effort on exascale computing, in the context of a new European effort called “Destination Earth”.

Earth System Modeling at DOE.

September 25, 2020

U.S. DOE, Office of Science, Advanced Scientific Computing Advisory Committee Meeting September 24-25, 2020:

Incorporating GPUs into Earth System Science

Mark Taylor gave a talk on E3SM at the DOE ASCR Advanced Scientific Computing Advisory Committee.


Doug Black, Editor in-Chief insideHPC and Mark Taylor, Mathematician at Sandia National Labs.

September 24, 2020


Video: Exascale for Earth System Modeling of Storms, Droughts, Sea Level Rise

Mark Taylor was interviewed by insideHPC and talked about the use of exascale-class supercomputers – to be delivered to three U.S. Department of Energy national labs in 2021 – for large-scale and water resource forecasting.


Rows of cabinets hold incredible processing power for one of the world’s best supercomputers, Summit, at Oak Ridge National Laboratory in TN. Exascale computing will surpass these existing computers by leaps and bounds.

September 15, 2020


Core Concept: Nascent exascale supercomputers offer promise, present challenges

Ruby Leung and E3SM mentioned in “Core Concept:  Nascent exascale supercomputers offer promise, present challenges” in PNAS.

A graphic showing ocean circulation developed from MPAS (Model for Prediction Across Scales) components for oceans, sea ice, and land ice. (Graphic courtesy

August 19, 2020

Georgia Institute of Technology:

Making Earth System Models that Match the Speed of Climate Change

Annalisa Bracco and Taka Ito, land a Department of Energy grant to improve computer models for analyzing Earth’s carbon cycles across oceans, land, and the atmosphere.

Building a better picture of the planet using supercomputers.

July 27, 2020

DCD, Data Center Dynamics:

DOE Announces $7M for Energy Exascale Earth System Model

The Department of Energy will fund nine studies designed to help improve the Energy Exascale Earth System Model program. E3SM plans to create a comprehensive model of the Earth system. The projects, lasting three years, will together cost $7m.


In the E3SM-MMF project’s multiscale modeling framework, a cloud-resolving model is embedded within a global model of Earth’s atmosphere. The cloud-resolving model improves the ability to simulate the many processes responsible for cloud formation. Credit: the E3SM-MMF project.

June 25, 2020

ECP, Exascale Computing Project:

E3SM-MMF: Forecasting Water Resources and Severe Weather with Greater Confidence

Mark Taylor was interviewed on the ECP website.

This storm over the Russian River in California was driven by an atmospheric river. Every time the Russian River flooded between 2004 and 2014, it was because of one of these “rivers in the sky.”

March 10, 2020

DOE Office of Science:

Flooding the Sky: Navigating the Science of Atmospheric Rivers

Ruby Leung was interviewed for this DOE Office of Science article on how researchers are collaborating to measure atmospheric rivers and figure out how they can be factored into climate models.

Current-climate bias metrics in the high-resolution model (HR) are generally improved relative to the low/standard-resolution E3SMv1 model (LR), which is itself generally superior to most CMIP5 models (boxes and whiskers in the image above which shows the root-mean-square error (RMSE) where lower values are better).

March 3, 2020


New Version of Earth Model Captures Climate Dynamics

Rob Jacob interviewed: A new high-resolution Earth systems model has been designed to predict climate trends into the next century. The model will provide the scientific basis by which to mitigate the effects of extreme climate on energy and other essential services.

Direct Current – An Podcast

February 14, 2020

Direct Current Podcast – LIVE AT AAAS:

The Future of Water & Wildfire

Ruby Leung was interviewed in a DOE podcast on future water and wildfire challenges at the AAAS annual meeting, highlighting relevant E3SM capabilities that can be brought to bear.

E3SM Video

E3SM in News

Model for Prediction Across Scales (MPAS)

Send this to a friend