Cooperative Agreement for CESU-affiliated Partner with Desert Southwest Cooperative Ecosystem Studies Unit
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
The US Geological Survey is offering a funding opportunity to a CESU partner for research to advance large-scale physically based hydrologic simulators and associated machine learning emulators. The objective of the agreement is to advance Water Mission Area’s (WMA) physically based hydrologic modeling capabilities, and to advance our capability to develop machine learning model emulators of these
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
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 US Geological Survey is offering a funding opportunity to a CESU partner for research to advance large-scale physically based hydrologic simulators and associated machine learning emulators. The objective of the agreement is to advance Water Mission Area’s (WMA) physically based hydrologic modeling capabilities, and to advance our capability to develop machine learning model emulators of these models. The work will contribute to our national and river basin modeling efforts. |
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 |