News

19
Jan
2017

Some of the most important crops risk substantial damage from rising temperatures. To better assess how climate change caused by human greenhouse gas emissions will likely impact wheat, maize and soybean, an international team of scientists has run an unprecedentedly comprehensive set of computer simulations of US crop yields.

12
Dec
2016

A drought on the scale of the legendary Dust Bowl crisis of the 1930’s would have similarly destructive effects on U.S. agriculture today despite technological and agricultural advances, a new study in Nature Plants reports. Additionally, warming temperatures in the future could lead to crop losses at the scale of the Dust Bowl in even normal precipitation years by the middle of the 21st Century, CI/RDCEP scientists conclude.

01
Dec
2016

A new modeling approach developed at the University of Chicago and Argonne National Laboratory more accurately describes storm behavior, forecasting future rainstorm features that will help clarify flood risk and other climate impacts.

Research

RDCEP brings together experts in economics, physical sciences, energy technologies, law, computational mathematics, statistics, and computer science to undertake a series of tightly connected research programs aimed at improving the computational models needed to evaluate climate and energy policies, and to make robust decisions based on outcomes.

The CIM-EARTH Framework (Community Integrated Model for Energy and Resource Trajectories for Humankind) is an environment for economic modeling and simulation. The project's goal is to provide open source modeling tools that incorporate the most modern computational methods, to increase both the quality and transparency of integrated assessment modeling.

ESG graphic

The Earth System Grid Federation (ESGF) is an international collaboration with a current focus on serving the World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project (CMIP) and supporting climate and environmental science in general. The Earth System Grid (ESG) integrates supercomputers with large-scale data and analysis servers located at numerous national labs and research centers to create a powerful environment for next generation climate research.

Researcher Spotlight