| Title: |
Evaluating Methods of Streamflow Timing to Approximate Snowmelt Contribution in High-Elevation Mountain Watersheds. |
| Authors: |
Pfohl, Anna K. D., Fassnacht, Steven R. |
| Source: |
Hydrology (2306-5338); Apr2023, Vol. 10 Issue 4, p75, 9p |
| Subject Terms: |
MOUNTAIN watersheds, SNOWMELT, TREND analysis, SNOW accumulation, WATERSHEDS, BASE flow (Hydrology), STREAMFLOW |
| Geographic Terms: |
COLORADO |
| Abstract: |
Current streamflow timing metrics, such as the center of volume, or COV, use flow days, which are days at which a specific total streamflow volume, such as 50% for COV, has passed a given point. These metrics have been used as indicators for changes in the timings of snowmelt contributions to streamflow, but they may not be indicating changes to snowmelt timings as they have a fixed volume. Using manually extracted start and end days for high-elevation, mountainous watersheds, which are regarded as true values, we developed a new method to estimate when snowmelt is entering streams. Based on RMSE and NSE values, this new method is a better model for snowmelt-driven streamflow than using flow days or the COV. In general, the trend analysis results from the different timing metrics indicate an earlier timing in the year. This method was suitable for 40 different-sized watersheds in Colorado, USA; these are all snow-dominated watersheds in a semi-arid climate. This method could be used to assess watersheds in different climates, including those that are not as snow-dominated. [ABSTRACT FROM AUTHOR] |
|
Copyright of Hydrology (2306-5338) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
