Reduction of Tropical Cloud and Precipitation Biases in Global High Resolution Models
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
The Office of Biological and Environmental Research (BER) of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announces its interest in receiving applications for research grants on the topic of Reduction of Tropical Cloud and Precipitation Biases in Global High Resolution Models under the Regional and Global Climate Modeling (RGCM) and Atmospheric System Research (ASR) programs
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Participants
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Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The Office of Biological and Environmental Research (BER) of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announces its interest in receiving applications for research grants on the topic of Reduction of Tropical Cloud and Precipitation Biases in Global High Resolution Models under the Regional and Global Climate Modeling (RGCM) and Atmospheric System Research (ASR) programs. Simulation of climate in the tropics has improved considerably over the past decade; nevertheless global and regional climate models have biases in tropical precipitation and clouds. This Funding Opportunity Announcement (FOA) invites applications to examine, and improve our understanding of tropical clouds and precipitation in uniform high or variable resolution global models, global cloud resolving models, and/or regional models, by improving the process representations in the context of tropical Atmospheric Radiation Measurement (ARM) campaigns (http://www.arm.gov/campaigns/table ) and/or data from the ARM Tropical Western Pacific (TWP) http://www.arm.gov/sites/twp fixed sites. The intent of this FOA is to reduce tropical biases of precipitation and clouds in global climate models by fostering interactions between atmospheric process and global modelers. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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