Abstract

Abstract. Measuring snow water equivalent (SWE) is important for many hydrological purposes such as modelling and flood forecasting. Measurements of SWE are also crucial for agricultural production in areas where snowmelt runoff dominates spring soil water recharge. Typical methods for measuring SWE include point measurements (snow tubes) and large-scale measurements (remote sensing). We explored the potential of using the cosmic-ray soil moisture probe (CRP) to measure average SWE at a spatial scale between those provided by snow tubes and remote sensing. The CRP measures above-ground moderated neutron intensity within a radius of approximately 300 m. Using snow tubes, surveys were performed over two winters (2013/2014 and 2014/2015) in an area surrounding a CRP in an agricultural field in Saskatoon, Saskatchewan, Canada. The raw moderated neutron intensity counts were corrected for atmospheric pressure, water vapour, and temporal variability of incoming cosmic-ray flux. The mean SWE from manually measured snow surveys was adjusted for differences in soil water storage before snowfall between both winters because the CRP reading appeared to be affected by soil water below the snowpack. The SWE from the snow surveys was negatively correlated with the CRP-measured moderated neutron intensity, giving Pearson correlation coefficients of −0.90 (2013/2014) and −0.87 (2014/2015). A linear regression performed on the manually measured SWE and moderated neutron intensity counts for 2013/2014 yielded an r2 of 0.81. Linear regression lines from the 2013/2014 and 2014/2015 manually measured SWE and moderated neutron counts were similar; thus differences in antecedent soil water storage did not appear to affect the slope of the SWE vs. neutron relationship. The regression equation obtained from 2013/2014 was used to model SWE using the moderated neutron intensity data for 2014/2015. The CRP-estimated SWE for 2014/2015 was similar to that of the snow survey, with an root-mean-square error of 8.8 mm. The CRP-estimated SWE also compared well to estimates made using snow depths at meteorological sites near (< 10 km) the CRP. Overall, the empirical equation presented provides acceptable estimates of average SWE using moderated neutron intensity measurements. Using a CRP to monitor SWE is attractive because it delivers a continuous reading, can be installed in remote locations, requires minimal labour, and provides a landscape-scale measurement footprint.

Highlights

  • Landscape-scale snow water equivalent (SWE) measurements are important for applications such as hydrological modelling, flood prediction, water resource management, and agricultural production (Goodison et al, 1987)

  • The Saskatchewan Research Council (SRC) and Saskatoon Airport Reference Climate Station (RCS) sites are located a few kilometres away from the study site, comparing estimated SWE from these reference sites to SWE estimated from the cosmic-ray soil moisture probe (CRP) is still useful when we look only at the overall trend of snow accumulation

  • It was found that the relationship between above-ground moderated neutron intensity and manually measured field SWE was well represented by a negative linear function

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Summary

Introduction

Landscape-scale snow water equivalent (SWE) measurements are important for applications such as hydrological modelling, flood prediction, water resource management, and agricultural production (Goodison et al, 1987). Common techniques for measuring SWE include snow tubes (gravimetric method), snow pillows, and remote sensing (Pomeroy and Gray, 1995). Snow surveys with snow tubes are labour intensive, can be difficult to perform in remote locations, and are prone to over- and underestimation of SWE, depending on snowpack conditions (Goodison, 1978). Snow pillows can provide SWE measurements in remote locations, but they produce merely a point measurement of roughly 3.5 to 11.5 m2 (Goodison et al, 1981). The applicability of remote sensing techniques for SWE monitoring is limited by their coarse measurement resolutions (∼ 625 km2), their inability to accurately measure wet snow, and their shortcomings in measuring forested landscapes

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