Cooperative Ecosystem Studies Unit, Californian CESU
Sector: Advanced Electronics • Location: United States of America
Source: Grants.gov
US Geological Survey is offering a funding opportunity to a CESU partner to conduct research to develop process-based spatial models as tools for both scenario generation and to integrate findings from field-based research by collaborators within the WMI initiative. Ongoing model development with RHESSys (Regional Hydro-Ecologic Simulation System) advances techniques that quantify the contribution
Project Information FAQ
Project Information
Want to explore the full details? View the full report
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 | US Geological Survey is offering a funding opportunity to a CESU partner to conduct research to develop process-based spatial models as tools for both scenario generation and to integrate findings from field-based research by collaborators within the WMI initiative. Ongoing model development with RHESSys (Regional Hydro-Ecologic Simulation System) advances techniques that quantify the contributions of underlying watershed geologic characteristics to the sensitivity of both forest water use and streamflow to drought, provide better forecasting tools for understanding the response of western streams and forests to fire, and to describe and model physiological responses of tress to increasing climate change-caused stress. |
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 |
