Event Title

Time-frequency analysis of local climate data, soil moisture and streamflow in Utah using a wavelet crosscorrelation approach

Location

Eccles Conference Center

Event Website

http://water.usu.edu

Start Date

4-1-2014 11:20 AM

End Date

4-1-2014 11:40 AM

Description

Wavelet-based cross-correlation analysis is performed in both time and frequency domains to study lead-lag relationships between local climate data, soil moisture and streamflow on the Logan River in Cache County, Utah. The climate and soil moisture data are obtained from two automated snowpack telemetry (SNOTEL) stations located in the mountains around Cache Valley. The daily local climate data are snow-water equivalent, and minimum and maximum temperature. The daily soil moisture data are collected at depths of 2, 8 and 20 inches. Daily streamflow data is obtained from a U.S. Geological Survey (USGS) gage station located on the Logan River, Utah. The data are decomposed into meaningful components formulated in terms of wavelet multiresolution analysis. A wavelet cross-correlation analysis is performed. This presentation will also discuss ongoing research in applying the proposed method and incorporating key information from the trends of the soil moisture and local climate time series to produce improved short-term streamflow predictions.

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Apr 1st, 11:20 AM Apr 1st, 11:40 AM

Time-frequency analysis of local climate data, soil moisture and streamflow in Utah using a wavelet crosscorrelation approach

Eccles Conference Center

Wavelet-based cross-correlation analysis is performed in both time and frequency domains to study lead-lag relationships between local climate data, soil moisture and streamflow on the Logan River in Cache County, Utah. The climate and soil moisture data are obtained from two automated snowpack telemetry (SNOTEL) stations located in the mountains around Cache Valley. The daily local climate data are snow-water equivalent, and minimum and maximum temperature. The daily soil moisture data are collected at depths of 2, 8 and 20 inches. Daily streamflow data is obtained from a U.S. Geological Survey (USGS) gage station located on the Logan River, Utah. The data are decomposed into meaningful components formulated in terms of wavelet multiresolution analysis. A wavelet cross-correlation analysis is performed. This presentation will also discuss ongoing research in applying the proposed method and incorporating key information from the trends of the soil moisture and local climate time series to produce improved short-term streamflow predictions.

https://digitalcommons.usu.edu/runoff/2014/2014Abstracts/22