Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures

Seasonal snow cover and its melt regime are heterogeneous both in time and space. Describing and modelling this variability is important because it affects diverse phenomena such as runoff, ground temperatures or slope movements. This study presents the derivation of melting characteristics based on...

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Published in:The Cryosphere
Main Authors: M.-O. Schmid, S. Gubler, J. Fiddes, S. Gruber
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2012
Subjects:
Online Access:https://doi.org/10.5194/tc-6-1127-2012
https://doaj.org/article/9f3155dc42f743148e75574797709e1a
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spelling ftdoajarticles:oai:doaj.org/article:9f3155dc42f743148e75574797709e1a 2023-05-15T18:32:31+02:00 Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures M.-O. Schmid S. Gubler J. Fiddes S. Gruber 2012-10-01T00:00:00Z https://doi.org/10.5194/tc-6-1127-2012 https://doaj.org/article/9f3155dc42f743148e75574797709e1a EN eng Copernicus Publications http://www.the-cryosphere.net/6/1127/2012/tc-6-1127-2012.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-6-1127-2012 1994-0416 1994-0424 https://doaj.org/article/9f3155dc42f743148e75574797709e1a The Cryosphere, Vol 6, Iss 5, Pp 1127-1139 (2012) Environmental sciences GE1-350 Geology QE1-996.5 article 2012 ftdoajarticles https://doi.org/10.5194/tc-6-1127-2012 2022-12-31T05:19:39Z Seasonal snow cover and its melt regime are heterogeneous both in time and space. Describing and modelling this variability is important because it affects diverse phenomena such as runoff, ground temperatures or slope movements. This study presents the derivation of melting characteristics based on spatial clusters of ground surface temperature (GST) measurements. Results are based on data from Switzerland where ground surface temperatures were measured with miniature loggers (iButtons) at 40 locations referred to as footprints. At each footprint, up to ten iButtons have been distributed randomly over an area of 10 m × 10 m, placed a few cm below the ground surface. Footprints span elevations of 2100–3300 m a.s.l. and slope angles of 0–55°, as well as diverse slope expositions and types of surface cover and ground material. Based on two years of temperature data, the basal ripening date and the melt-out date are determined for each iButton, aggregated to the footprint level and further analysed. The melt-out date could be derived for nearly all iButtons; the ripening date could be extracted for only approximately half of them because its detection based on GST requires ground freezing below the snowpack. The variability within a footprint is often considerable and one to three weeks difference between melting or ripening of the points in one footprint is not uncommon. The correlation of mean annual ground surface temperatures, ripening date and melt-out date is moderate, suggesting that these metrics are useful for model evaluation. Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 6 5 1127 1139
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
M.-O. Schmid
S. Gubler
J. Fiddes
S. Gruber
Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description Seasonal snow cover and its melt regime are heterogeneous both in time and space. Describing and modelling this variability is important because it affects diverse phenomena such as runoff, ground temperatures or slope movements. This study presents the derivation of melting characteristics based on spatial clusters of ground surface temperature (GST) measurements. Results are based on data from Switzerland where ground surface temperatures were measured with miniature loggers (iButtons) at 40 locations referred to as footprints. At each footprint, up to ten iButtons have been distributed randomly over an area of 10 m × 10 m, placed a few cm below the ground surface. Footprints span elevations of 2100–3300 m a.s.l. and slope angles of 0–55°, as well as diverse slope expositions and types of surface cover and ground material. Based on two years of temperature data, the basal ripening date and the melt-out date are determined for each iButton, aggregated to the footprint level and further analysed. The melt-out date could be derived for nearly all iButtons; the ripening date could be extracted for only approximately half of them because its detection based on GST requires ground freezing below the snowpack. The variability within a footprint is often considerable and one to three weeks difference between melting or ripening of the points in one footprint is not uncommon. The correlation of mean annual ground surface temperatures, ripening date and melt-out date is moderate, suggesting that these metrics are useful for model evaluation.
format Article in Journal/Newspaper
author M.-O. Schmid
S. Gubler
J. Fiddes
S. Gruber
author_facet M.-O. Schmid
S. Gubler
J. Fiddes
S. Gruber
author_sort M.-O. Schmid
title Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
title_short Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
title_full Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
title_fullStr Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
title_full_unstemmed Inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
title_sort inferring snowpack ripening and melt-out from distributed measurements of near-surface ground temperatures
publisher Copernicus Publications
publishDate 2012
url https://doi.org/10.5194/tc-6-1127-2012
https://doaj.org/article/9f3155dc42f743148e75574797709e1a
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, Vol 6, Iss 5, Pp 1127-1139 (2012)
op_relation http://www.the-cryosphere.net/6/1127/2012/tc-6-1127-2012.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-6-1127-2012
1994-0416
1994-0424
https://doaj.org/article/9f3155dc42f743148e75574797709e1a
op_doi https://doi.org/10.5194/tc-6-1127-2012
container_title The Cryosphere
container_volume 6
container_issue 5
container_start_page 1127
op_container_end_page 1139
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