Record Details
Modeling insights from distributed temperature sensing data
DigitalCommons@USU
| Field | Value |
|---|---|
| Title | Modeling insights from distributed temperature sensing data |
| Creator | Null, Sarah E Buck, C R |
| Description | Distributed Temperature Sensing (DTS) technology can collect abundant high resolution river temperature data over space and time to improve development and performance of modeled river temperatures. These data can also identify and quantify thermal variability of micro-habitat that temperature modeling and standard temperature sampling do not capture. This allows researchers and practitioners to bracket uncertainty of daily maximum and minimum temperature that occurs in pools, side channels,... |
| Date | 2013-01-01T08:00:00Z |
| Type | text |
| Identifier | http://works.bepress.com/sarah_null/39 http://www.hydrol-earth-syst-sci-discuss.net/10/9999/2013/hessd-10-9999-2013.html |
| Source | Sarah E. Null |
| Publisher | SelectedWorks |
| Subject | Life Sciences |
