CLIMATE AND EARTH SYSTEM MODELING is part of the U.S. Department of Energy’s Office of Biological and Environmental Research (BER) Climate and Environmental Sciences Division (CESD). Our focus is on the development, evaluation, and use of regional and global climate models, development of Earth system models, and development of integrated assessment models to determine the impacts and possible mitigation of climate change.

for your DOE-funded modeling research


DOE's Office of Biological and Environmental Research will host three town hall meetings at the American Geophysical Union (AGU) Fall Meeting. The first town hall session TH13A: ARM Next Generation Town Hall, will be hosted Monday, December 15 from 12:30-1:30 PM in 2002 Moscone West. The second, hosted by the Regional and Global Climate Modeling program, TH15C: DOE...
Gerald Meehl, National Center for Atmospheric Research
Distinguished researcher Gerald Meehl has been elected to the American Geophysical Union (AGU) 2014 Class of Fellows. Meehl, recognized for outstanding contributions in the area of Earth and Space Sciences, will be recognized on December 17, at the Honors Ceremony and Banquet during the 2014 AGU Fall Meeting in San Francisco. Meehl is a senior scientist at the National...
Jinyun Tang, Lawrence Berkley National Laboratory
Regional and Global Climate Modeling funded scientist Jinyun Tang, Lawrence Berkley National Laboratory, has been awarded honorable mention for the Gene E. Likens outstanding publication award by the Ecological Society of America (ESA). This award is granted to only one scientist and one honorable mention per year. Recipients must be within five years of receiving their...
A new study led by Pacific Northwest National Laboratory looked for which "tunable" variables were most influential in depicting various cloud types in a global atmospheric model. They found that different parameters influenced different types of clouds. For stratocumulus, low and clumpy clouds, the parameters that matter most appear in water and heat flux equations. For...
The stability of the Arctic Lower Tropospheric Stability (LTS) is difficult to represent in climate models. How Arctic LTS is represented in climate models is related to how the current Arctic climate is represented and how Arctic climate is projected to change in an enhanced CO2 world. For these reasons, it is important to understand the biases in Arctic LTS. Scientists...
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Program Information

Earth System Modeling

Earth System Modeling (ESM) concentrates on advancing coupled climate and Earth system models for climate change projections at global-to-regional spatial scales and temporal scales spanning decadal to centennial.

Regional & Global Climate Modeling

Regional & Global Climate Modeling (RGCM) advances the predictive understanding of Earth’s climate by focusing on scientific analysis of the dominant sets of governing processes that describe climate change on regional scales.

Integrated Assessment Research

Integrated Assessment Models guide understanding of global climate change by addressing its drivers, pace, consequences, and implications. They inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.