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Autonomous System for Lake Ice Monitoring

Continuous monitoring of ice cover belongs to the key tasks of modern climate research, providing up-to-date information on climate change in cold regions. While a strong advance in ice monitoring worldwide has been provided by the recent development of remote sensing methods, quantification of seas...

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Autores principales: Aslamov, Ilya, Kirillin, Georgiy, Makarov, Mikhail, Kucher, Konstantin, Gnatovsky, Ruslan, Granin, Nikolay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706819/
https://www.ncbi.nlm.nih.gov/pubmed/34960600
http://dx.doi.org/10.3390/s21248505
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author Aslamov, Ilya
Kirillin, Georgiy
Makarov, Mikhail
Kucher, Konstantin
Gnatovsky, Ruslan
Granin, Nikolay
author_facet Aslamov, Ilya
Kirillin, Georgiy
Makarov, Mikhail
Kucher, Konstantin
Gnatovsky, Ruslan
Granin, Nikolay
author_sort Aslamov, Ilya
collection PubMed
description Continuous monitoring of ice cover belongs to the key tasks of modern climate research, providing up-to-date information on climate change in cold regions. While a strong advance in ice monitoring worldwide has been provided by the recent development of remote sensing methods, quantification of seasonal ice cover is impossible without on-site autonomous measurements of the mass and heat budget. In the present study, we propose an autonomous monitoring system for continuous in situ measuring of vertical temperature distribution in the near-ice air, the ice strata and the under-ice water layer for several months with simultaneous records of solar radiation incoming at the lake surface and passing through the snow and ice covers as well as snow and ice thicknesses. The use of modern miniature analog and digital sensors made it possible to make a compact, energy efficient measurement system with high precision and spatial resolution and characterized by easy deployment and transportation. In particular, the high resolution of the ice thickness probe of 0.05 mm allows to resolve the fine-scale processes occurring in low-flow environments, such as freshwater lakes. Several systems were tested in numerous studies in Lake Baikal and demonstrated a high reliability in deriving the ice heat balance components during ice-covered periods.
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spelling pubmed-87068192021-12-25 Autonomous System for Lake Ice Monitoring Aslamov, Ilya Kirillin, Georgiy Makarov, Mikhail Kucher, Konstantin Gnatovsky, Ruslan Granin, Nikolay Sensors (Basel) Article Continuous monitoring of ice cover belongs to the key tasks of modern climate research, providing up-to-date information on climate change in cold regions. While a strong advance in ice monitoring worldwide has been provided by the recent development of remote sensing methods, quantification of seasonal ice cover is impossible without on-site autonomous measurements of the mass and heat budget. In the present study, we propose an autonomous monitoring system for continuous in situ measuring of vertical temperature distribution in the near-ice air, the ice strata and the under-ice water layer for several months with simultaneous records of solar radiation incoming at the lake surface and passing through the snow and ice covers as well as snow and ice thicknesses. The use of modern miniature analog and digital sensors made it possible to make a compact, energy efficient measurement system with high precision and spatial resolution and characterized by easy deployment and transportation. In particular, the high resolution of the ice thickness probe of 0.05 mm allows to resolve the fine-scale processes occurring in low-flow environments, such as freshwater lakes. Several systems were tested in numerous studies in Lake Baikal and demonstrated a high reliability in deriving the ice heat balance components during ice-covered periods. MDPI 2021-12-20 /pmc/articles/PMC8706819/ /pubmed/34960600 http://dx.doi.org/10.3390/s21248505 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Aslamov, Ilya
Kirillin, Georgiy
Makarov, Mikhail
Kucher, Konstantin
Gnatovsky, Ruslan
Granin, Nikolay
Autonomous System for Lake Ice Monitoring
title Autonomous System for Lake Ice Monitoring
title_full Autonomous System for Lake Ice Monitoring
title_fullStr Autonomous System for Lake Ice Monitoring
title_full_unstemmed Autonomous System for Lake Ice Monitoring
title_short Autonomous System for Lake Ice Monitoring
title_sort autonomous system for lake ice monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706819/
https://www.ncbi.nlm.nih.gov/pubmed/34960600
http://dx.doi.org/10.3390/s21248505
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