Climate Model Development and Validation
The summary for the Climate Model Development and Validation grant is detailed below.
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Climate Model Development and Validation: The Climate Model Development and Validation (CMDV) Activity in the Climate and Environmental Sciences Division (CESD), Office of Biological and Environmental Research (BER) of the Office of Science (SC), U.S. Department of Energy (DOE), is a new effort to improve climate model architecture, software, and computational design to prepare for exascale computing, to develop scale-aware physics for climate systems, and to enhance methods for model validation. This solicitation focuses mainly on the development and validation of scale-aware physics parameterizations for the atmosphere, with the goal of including these in either the current or next generation version of DOE’s Accelerated Climate Model for Energy (ACME). A recent workshop report (http://www.arm.gov/publications/programdocs/acme-arm-asr-draft-report.pdf) describes a new strategy to better align DOE capabilities across scales and disciplines in order to much more rapidly advance ACME development. In line with this strategy, this FOA solicits university and other non-DOE-Laboratory investigators to participate as collaborators in team projects led by DOE National Laboratories that will work in an end-to-end manner between measurements and modeling, and across scales from local and/or regional to global, in order to improve the fidelity of global climate model simulations, with a view to enhanced predictability and address critical climate science challenges.
The model representation of clouds and aerosols, and their changes in response to energy and climate drivers, remain the most uncertain elements in model predictions of the climate system. Therefore, improved predictability requires greater understanding and representation of the behaviors of clouds and chemistry within global climate models.
The model representation of clouds and aerosols, and their changes in response to energy and climate drivers, remain the most uncertain elements in model predictions of the climate system. Therefore, improved predictability requires greater understanding and representation of the behaviors of clouds and chemistry within global climate models.
Federal Grant Title: | Climate Model Development and Validation |
Federal Agency Name: | Office of Science |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | DE-FOA-0001530 |
Type of Funding: | Cooperative Agreement |
CFDA Numbers: | 81.049 |
CFDA Descriptions: | Office of Science Financial Assistance Program |
Current Application Deadline: | Mar 25, 2016 |
Original Application Deadline: | Mar 25, 2016 |
Posted Date: | Feb 5, 2016 |
Creation Date: | Feb 5, 2016 |
Archive Date: | Apr 24, 2016 |
Total Program Funding: | $1,000,000 |
Maximum Federal Grant Award: | $300,000 |
Minimum Federal Grant Award: | $50,000 |
Expected Number of Awards: | 2 |
Cost Sharing or Matching: | No |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Additional Information on Eligibility
- All types of applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.
DOE National Laboratories must apply to the companion DOE National Laboratory Announcement LAB 16-1530.
DOE National Laboratories may apply as both team leads and as collaborators to another Laboratory’s team. Non DOE-Laboratory institutions may apply as members of multiple teams. However, an individual researcher may participate in at most two (2) full applications as a Principal Investigator, Co-Principal Investigator, or Senior Personnel; and a National Laboratory can submit at most one application as a team lead.
Applicants that are not domestic organizations should be advised that:
• Individual applicants are unlikely to possess the skills, abilities, and resources to successfully accomplish the objectives of this FOA. Individual applicants are encouraged to address this concern in their applications and to demonstrate how they will accomplish the objectives of this FOA.
• Non-domestic applicants are advised that successful applications from non-domestic applicants include a detailed demonstration of how the applicant possesses skills, resources, and abilities that do not exist among potential domestic applicants.
- Grant Announcement Contact
- Kimberlie Laing
Grant Analyst
Phone 301-903-3026
[email protected]
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