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 in:Science of The Total Environment
Main Authors: García-Maroto, Diego, Durán Montejano, Luis, Pablo Hernández, Miguel Ángel de
Other Authors: Elsevier
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2024
Subjects:
Online Access:https://hdl.handle.net/20.500.14352/102821
https://doi.org/10.1016/j.scitotenv.2024.171744
https://www.sciencedirect.com/science/article/pii/S0048969724018874
id ftunivcmadrid:oai:docta.ucm.es:20.500.14352/102821
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spelling ftunivcmadrid:oai:docta.ucm.es:20.500.14352/102821 2024-04-28T08:00:58+00:00 New approaches and error assessment to snow cover thickness and density using air temperature data at different heights García-Maroto, Diego Durán Montejano, Luis Pablo Hernández, Miguel Ángel de Elsevier 2024-03-20 application/pdf https://hdl.handle.net/20.500.14352/102821 https://doi.org/10.1016/j.scitotenv.2024.171744 https://www.sciencedirect.com/science/article/pii/S0048969724018874 eng eng Elsevier info:eu-repo/grantAgreement/MINECO//CTM2014-52021-R/ES/ARACTERIZACION Y EVOLUCION DE LA CUBIERTA NIVAL Y SU EFECTO EN EL REGIMEN TERMICO DEL PERMAFROST Y LA CAPA ACTIVA EN LAS ISLAS LIVINGSTON Y DECEPCION (ANTARTIDA)/ PID2022-140690OA-I00 https://hdl.handle.net/20.500.14352/102821 García-Maroto D, Durán L, de Pablo Hernández MÁ. New approaches and error assessment to snow cover thickness and density using air temperature data at different heights. Sci Total Environ. 2024 Mar 20;926:171744. doi:10.1016/j.scitotenv.2024.171744 0048-9697 doi:10.1016/j.scitotenv.2024.171744 1879-1026 https://www.sciencedirect.com/science/article/pii/S0048969724018874 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ open access 551.51 Snow cover depth Air temperature Antarctica Física atmosférica 25 Ciencias de la Tierra y del Espacio journal article VoR 2024 ftunivcmadrid https://doi.org/20.500.14352/10282110.1016/j.scitotenv.2024.171744 2024-04-09T23:32:22Z 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. Government of Spain, Ministry of Economy and Competitivity Spanish Polar Committee by contracts PERMATHERMAL Proyectos de Generación de Conocimiento 2022, Ministry of Science and Innovation, Spain Depto. de Física de la Tierra y Astrofísica Fac. de Ciencias Físicas TRUE pub Article in Journal/Newspaper Antarc* Antarctica Deception Island Docta Complutense (Universidad Complutense de Madrid - UCM) Science of The Total Environment 926 171744
institution Open Polar
collection Docta Complutense (Universidad Complutense de Madrid - UCM)
op_collection_id ftunivcmadrid
language English
topic 551.51
Snow cover depth
Air temperature
Antarctica
Física atmosférica
25 Ciencias de la Tierra y del Espacio
spellingShingle 551.51
Snow cover depth
Air temperature
Antarctica
Física atmosférica
25 Ciencias de la Tierra y del Espacio
García-Maroto, Diego
Durán Montejano, Luis
Pablo Hernández, Miguel Ángel de
New approaches and error assessment to snow cover thickness and density using air temperature data at different heights
topic_facet 551.51
Snow cover depth
Air temperature
Antarctica
Física atmosférica
25 Ciencias de la Tierra y del Espacio
description 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. Government of Spain, Ministry of Economy and Competitivity Spanish Polar Committee by contracts PERMATHERMAL Proyectos de Generación de Conocimiento 2022, Ministry of Science and Innovation, Spain Depto. de Física de la Tierra y Astrofísica Fac. de Ciencias Físicas TRUE pub
author2 Elsevier
format Article in Journal/Newspaper
author García-Maroto, Diego
Durán Montejano, Luis
Pablo Hernández, Miguel Ángel de
author_facet García-Maroto, Diego
Durán Montejano, Luis
Pablo Hernández, Miguel Ángel de
author_sort García-Maroto, Diego
title New approaches and error assessment to snow cover thickness and density using air temperature data at different heights
title_short New approaches and error assessment to snow cover thickness and density using air temperature data at different heights
title_full New approaches and error assessment to snow cover thickness and density using air temperature data at different heights
title_fullStr New approaches and error assessment to snow cover thickness and density using air temperature data at different heights
title_full_unstemmed New approaches and error assessment to snow cover thickness and density using air temperature data at different heights
title_sort new approaches and error assessment to snow cover thickness and density using air temperature data at different heights
publisher Elsevier
publishDate 2024
url https://hdl.handle.net/20.500.14352/102821
https://doi.org/10.1016/j.scitotenv.2024.171744
https://www.sciencedirect.com/science/article/pii/S0048969724018874
genre Antarc*
Antarctica
Deception Island
genre_facet Antarc*
Antarctica
Deception Island
op_relation info:eu-repo/grantAgreement/MINECO//CTM2014-52021-R/ES/ARACTERIZACION Y EVOLUCION DE LA CUBIERTA NIVAL Y SU EFECTO EN EL REGIMEN TERMICO DEL PERMAFROST Y LA CAPA ACTIVA EN LAS ISLAS LIVINGSTON Y DECEPCION (ANTARTIDA)/
PID2022-140690OA-I00
https://hdl.handle.net/20.500.14352/102821
García-Maroto D, Durán L, de Pablo Hernández MÁ. New approaches and error assessment to snow cover thickness and density using air temperature data at different heights. Sci Total Environ. 2024 Mar 20;926:171744. doi:10.1016/j.scitotenv.2024.171744
0048-9697
doi:10.1016/j.scitotenv.2024.171744
1879-1026
https://www.sciencedirect.com/science/article/pii/S0048969724018874
op_rights Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
open access
op_doi https://doi.org/20.500.14352/10282110.1016/j.scitotenv.2024.171744
container_title Science of The Total Environment
container_volume 926
container_start_page 171744
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