Climate Investigations - Climatic Drivers of Wildland Fire Events and Burn Severity
Sector: Consumer Products • Location: United States of America
Source: Grants.gov
This financial Assistance Opportunity is being issued under a Cooperative Ecosystem Studies Unit program. CESUs are partnerships that provide research, technical assistance, and education.
This is a continuing project that provides learning opportunities to students in the principles of climate modeling, prediction of fire risks and public land management. The goal is to find linkages between c
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 | This financial Assistance Opportunity is being issued under a Cooperative Ecosystem Studies Unit program. CESUs are partnerships that provide research, technical assistance, and education. This is a continuing project that provides learning opportunities to students in the principles of climate modeling, prediction of fire risks and public land management. The goal is to find linkages between climatic patterns in precipitation and temperature and fire frequency and severity in key vegetation communities within the Central Great Basin and Colorado Plateau Ecoregions, specifically identifying key climatic drivers in fire events. For example similar research in southern California chaparral communities found that the timing of large fire events is strongly linked with the amount of precipitation in April, the end of the wet season in that ecoregion. Additionally the information gained may be used by federal and state agencies in refining larger scale regional climate and fire modeling based on Landfire data providing more detailed or community specific prediction capabilities. |
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 |
