Précision de l'estimation de l'équivalent en eau de la neige obtenue avec la sonde SNOWPOWER au Québec (Canada)

Translated title of the contribution: Precision of estimated Snow Water Equivalent (SWE) derived from the new sensor SNOWPOWER in Québec (Canada)

Mohamed Niang, Monique Bernier, Eric van Bochove, Yves Durand

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper is about the accuracy gotten to determine the Snow Water Equivalent (SWE) and the snow moisture using a new in situ sensor, the "SNOWPOWER" probe. This sensor can estimate simultaneously the snow density and the snow moisture by measuring the dielectric constant of the snow at low and high frequencies along a 10 to 20-m long flat-band cable. The high frequencies signal is measured with a Time Domain Reflectometer (TDR), the low frequencies signal is measured with an impedance analyser. The proposed original methodology allows also to extract the snow height and then to use the sensor for SWE estimation. This paper gives the results of one experimental season, the winter 2003-2004, in a agricultural field located near Québec City in Canada (48°28′12* N, 71°10′48*W). The estimated derived from the new automatic sensor are compared with manual measurements of the snow properties. The results show a good estimation of the snow liquid water content (0.40% volumetric) and the SWE (14.07 mm). However, results show the importance of the selection of the low frequency and of the algorithm for the snow temperature extrapolation for the accuracy of the estimation. Finally, we discuss the integration of the sensor's densities to the EQeau model for mapping the SWE using radar satellite data.

Original languageFrench
Pages (from-to)128-133
Number of pages6
JournalHouille Blanche
Issue number2
Publication statusPublished - 23 May 2006
Externally publishedYes

Fingerprint

snow water equivalent
snow
sensor
moisture
cable
satellite data
water content
probe
radar
liquid
methodology
winter

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

Précision de l'estimation de l'équivalent en eau de la neige obtenue avec la sonde SNOWPOWER au Québec (Canada). / Niang, Mohamed; Bernier, Monique; van Bochove, Eric; Durand, Yves.

In: Houille Blanche, No. 2, 23.05.2006, p. 128-133.

Research output: Contribution to journalArticle

Niang, Mohamed ; Bernier, Monique ; van Bochove, Eric ; Durand, Yves. / Précision de l'estimation de l'équivalent en eau de la neige obtenue avec la sonde SNOWPOWER au Québec (Canada). In: Houille Blanche. 2006 ; No. 2. pp. 128-133.
@article{8e28df97aafc42ccba749eb4bd92c04a,
title = "Pr{\'e}cision de l'estimation de l'{\'e}quivalent en eau de la neige obtenue avec la sonde SNOWPOWER au Qu{\'e}bec (Canada)",
abstract = "This paper is about the accuracy gotten to determine the Snow Water Equivalent (SWE) and the snow moisture using a new in situ sensor, the {"}SNOWPOWER{"} probe. This sensor can estimate simultaneously the snow density and the snow moisture by measuring the dielectric constant of the snow at low and high frequencies along a 10 to 20-m long flat-band cable. The high frequencies signal is measured with a Time Domain Reflectometer (TDR), the low frequencies signal is measured with an impedance analyser. The proposed original methodology allows also to extract the snow height and then to use the sensor for SWE estimation. This paper gives the results of one experimental season, the winter 2003-2004, in a agricultural field located near Qu{\'e}bec City in Canada (48°28′12* N, 71°10′48*W). The estimated derived from the new automatic sensor are compared with manual measurements of the snow properties. The results show a good estimation of the snow liquid water content (0.40{\%} volumetric) and the SWE (14.07 mm). However, results show the importance of the selection of the low frequency and of the algorithm for the snow temperature extrapolation for the accuracy of the estimation. Finally, we discuss the integration of the sensor's densities to the EQeau model for mapping the SWE using radar satellite data.",
author = "Mohamed Niang and Monique Bernier and {van Bochove}, Eric and Yves Durand",
year = "2006",
month = "5",
day = "23",
language = "French",
pages = "128--133",
journal = "Houille Blanche",
issn = "0018-6368",
publisher = "Societe Hydrotechnique de France",
number = "2",

}

TY - JOUR

T1 - Précision de l'estimation de l'équivalent en eau de la neige obtenue avec la sonde SNOWPOWER au Québec (Canada)

AU - Niang, Mohamed

AU - Bernier, Monique

AU - van Bochove, Eric

AU - Durand, Yves

PY - 2006/5/23

Y1 - 2006/5/23

N2 - This paper is about the accuracy gotten to determine the Snow Water Equivalent (SWE) and the snow moisture using a new in situ sensor, the "SNOWPOWER" probe. This sensor can estimate simultaneously the snow density and the snow moisture by measuring the dielectric constant of the snow at low and high frequencies along a 10 to 20-m long flat-band cable. The high frequencies signal is measured with a Time Domain Reflectometer (TDR), the low frequencies signal is measured with an impedance analyser. The proposed original methodology allows also to extract the snow height and then to use the sensor for SWE estimation. This paper gives the results of one experimental season, the winter 2003-2004, in a agricultural field located near Québec City in Canada (48°28′12* N, 71°10′48*W). The estimated derived from the new automatic sensor are compared with manual measurements of the snow properties. The results show a good estimation of the snow liquid water content (0.40% volumetric) and the SWE (14.07 mm). However, results show the importance of the selection of the low frequency and of the algorithm for the snow temperature extrapolation for the accuracy of the estimation. Finally, we discuss the integration of the sensor's densities to the EQeau model for mapping the SWE using radar satellite data.

AB - This paper is about the accuracy gotten to determine the Snow Water Equivalent (SWE) and the snow moisture using a new in situ sensor, the "SNOWPOWER" probe. This sensor can estimate simultaneously the snow density and the snow moisture by measuring the dielectric constant of the snow at low and high frequencies along a 10 to 20-m long flat-band cable. The high frequencies signal is measured with a Time Domain Reflectometer (TDR), the low frequencies signal is measured with an impedance analyser. The proposed original methodology allows also to extract the snow height and then to use the sensor for SWE estimation. This paper gives the results of one experimental season, the winter 2003-2004, in a agricultural field located near Québec City in Canada (48°28′12* N, 71°10′48*W). The estimated derived from the new automatic sensor are compared with manual measurements of the snow properties. The results show a good estimation of the snow liquid water content (0.40% volumetric) and the SWE (14.07 mm). However, results show the importance of the selection of the low frequency and of the algorithm for the snow temperature extrapolation for the accuracy of the estimation. Finally, we discuss the integration of the sensor's densities to the EQeau model for mapping the SWE using radar satellite data.

UR - http://www.scopus.com/inward/record.url?scp=33646694595&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33646694595&partnerID=8YFLogxK

M3 - Article

SP - 128

EP - 133

JO - Houille Blanche

JF - Houille Blanche

SN - 0018-6368

IS - 2

ER -