Regional and Global Climate Modeling and Integrated Assessment Research: An Integration Framework for Multi-Model, U.S. Regional Climate Evaluation that Incorporates Local Human Influences for Research at the Energy-Water-Land Nexus
ArchivedOffice of Science
Description
The Climate and Environmental Sciences Division (CESD) of the U.S. Department of Energy’s Office of Biological and Environmental Research (BER) supports a broad range of climate and earth system observational, analysis, and modeling research. Two of the activities within the modeling component of the Division, i.e., the Regional and Global Climate Modeling (RGCM) Activity and the Integrated Assessment Research (IAR) Activity, are collaborating in issuing this Funding Opportunity Announcement. As part of CESD, RGCM seeks to enhance the predictive understanding and modeling of climate variability and change by advancing capabilities to design, evaluate, diagnose, and analyze global and regional earth system model simulations informed by observations. The use of model simulations in combination with observations enables a deeper understanding of climate variability and change. RGCM focuses on analysis of regions that exhibit a significant response to larger scale climate change; evaluating robust methods to obtain higher spatial resolution; and diagnosing and analyzing state-of-the-science for coupled climate and Earth system models to understand climate variability and change at regional and global scales. These analyses often take the form of sensitivity studies that focus on various aspects of the climate system, including detection and attribution, developing enhanced modeling and analytics capabilities for decadal predictability, incorporating uncertainty characterization, and conducting analyses of feedbacks within the climate system.
Who can apply
- Unrestricted
Contact
Kimberlie Laing <br/>Grant Analyst <br/>Phone 301-903-3026
kim.laing@science.doe.gov
- PostedFeb 5, 2016
- ClosesApr 18, 2016
- Award floor$1,500,000
- Award ceiling$2,000,000
- Program funding$4,000,000
- Expected awards2
- CFDA81.049
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