New approaches and error assessment to snow cover thickness and density using air temperature data at different heights

Snow poles are inexpensive systems composed of a wooden mast with temperature sensors affixed at varying heights with the purpose of estimating the snow depth. They are frequently utilised in cold, remote regions where the maintenance of complex monitoring instruments becomes impractical. In this st...

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Bibliographic Details
Published inThe Science of the total environment Vol. 926; p. 171744
Main Authors García-Maroto, Diego, Durán, Luis, de Pablo Hernández, Miguel Ángel
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 20.05.2024
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Summary:Snow poles are inexpensive systems composed of a wooden mast with temperature sensors affixed at varying heights with the purpose of estimating the snow depth. They are frequently utilised in cold, remote regions where the maintenance of complex monitoring instruments becomes impractical. In this study, snow cover thickness is determined using different methods, based on the thermal behaviour of air temperature measured by a snow pole on Deception Island, Antarctica. The methods are compared to high-resolution measurements of snow depth obtained using an ultrasonic sensor at the same site. A new modified method is proposed and shown to give the best results. Errors and sensitivity to chosen thresholds of the various methods have been compared. Sensitivity tests have been also conducted to evaluate the impact of missing data from some of the sensors. Finally, the insulating effect on the thermal signal produced by the snow is used to obtain information on the snowpack density. Promising results have been found from this effort, opening new possibilities for the usage of snow poles and may lead to future studies. [Display omitted] •A snow pole with a set of temperature sensors provides an accurate estimate of snow depth compared to an ultrasonic sensor.•Snow depth estimates using the snow pole are accurate but show problems of underestimation during the growing season.•A new estimation method for snow depth has been developed which gives the lowest error compared to traditional methods.•Phase shift and amplitude attenuation in the thermal signal caused by snow are used to estimate snow height and density.
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ISSN:0048-9697
1879-1026
DOI:10.1016/j.scitotenv.2024.171744