Earth System Model Development and Analysis
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
The DOE SC program in Biological and Environmental Research (BER) announces its interest in receiving research applications for Earth and Environmental Systems Modeling (EESM). The goal of the EESM portfolio within the BER program is to develop and demonstrate advanced modeling and simulation capabilities in order to enhance the predictability of the Earth system over multiple temporal and spatial
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Participants
Sponsoring Agency | Obfuscated Data |
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
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The DOE SC program in Biological and Environmental Research (BER) announces its interest in receiving research applications for Earth and Environmental Systems Modeling (EESM). The goal of the EESM portfolio within the BER program is to develop and demonstrate advanced modeling and simulation capabilities in order to enhance the predictability of the Earth system over multiple temporal and spatial scales. The EESM vision is to provide the best possible information about the Earth’s evolving system. While this information could have future uses, BER’s interest in supporting this research is to advance our understanding of the natural world, its processes, and its phenomena. This FOA solicits research applications for: 1) Earth System Model Development (ESMD)- To advance the development of the Energy Exascale Earth System Model (E3SM) by enhancing its capability and accuracy toward an integrated earth system model including all earth system components and their interaction with human component; and 2) Regional and Global Model Analysis (RGMA)- To enhance understanding of predictability of the Earth system by simulating, evaluating, and analyzing modes of climate variability, water cycle, and extreme events. Innovative techniques such as machine learning, data assimilation and initialization are encouraged as part of this topic. Development of metrics to quantify and reduce the uncertainty 2 in Earth System model projections will be an integral component of the model analysis part of a successful application. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
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
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
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