A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature
Measuring soil and snow temperature with high vertical and lateral resolution is critical for advancing the predictive understanding of thermal and hydro-biogeochemical processes that govern the behavior of environmental systems. Vertically resolved soil temperature measurements enable the estimatio...
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ftdoajarticles:oai:doaj.org/article:c6b00d7d33fb4a9ab77a41a71b69c256 2023-05-15T18:32:27+02:00 A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature B. Dafflon S. Wielandt J. Lamb P. McClure I. Shirley S. Uhlemann C. Wang S. Fiolleau C. Brunetti F. H. Akins J. Fitzpatrick S. Pullman R. Busey C. Ulrich J. Peterson S. S. Hubbard 2022-03-01T00:00:00Z https://doi.org/10.5194/tc-16-719-2022 https://doaj.org/article/c6b00d7d33fb4a9ab77a41a71b69c256 EN eng Copernicus Publications https://tc.copernicus.org/articles/16/719/2022/tc-16-719-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-719-2022 1994-0416 1994-0424 https://doaj.org/article/c6b00d7d33fb4a9ab77a41a71b69c256 The Cryosphere, Vol 16, Pp 719-736 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-719-2022 2022-12-31T10:13:49Z Measuring soil and snow temperature with high vertical and lateral resolution is critical for advancing the predictive understanding of thermal and hydro-biogeochemical processes that govern the behavior of environmental systems. Vertically resolved soil temperature measurements enable the estimation of soil thermal regimes, frozen-/thawed-layer thickness, thermal parameters, and heat and/or water fluxes. Similarly, they can be used to capture the snow depth and the snowpack thermal parameters and fluxes. However, these measurements are challenging to acquire using conventional approaches due to their total cost, their limited vertical resolution, and their large installation footprint. This study presents the development and validation of a novel distributed temperature profiling (DTP) system that addresses these challenges. The system leverages digital temperature sensors to provide unprecedented, finely resolved depth profiles of temperature measurements with flexibility in system geometry and vertical resolution. The integrated miniaturized logger enables automated data acquisition, management, and wireless transfer. A novel calibration approach adapted to the DTP system confirms the factory-assured sensor accuracy of ±0.1 ∘ C and enables improving it to ±0.015 ∘ C. Numerical experiments indicate that, under normal environmental conditions, an additional error of 0.01 % in amplitude and 70 s time delay in amplitude for a diurnal period can be expected, owing to the DTP housing. We demonstrate the DTP systems capability at two field sites, one focused on understanding how snow dynamics influence mountainous water resources and the other focused on understanding how soil properties influence carbon cycling. Results indicate that the DTP system reliably captures the dynamics in snow depth and soil freezing and thawing depth, enabling advances in understanding the intensity and timing in surface processes and their impact on subsurface thermohydrological regimes. Overall, the DTP system fulfills the needs for ... Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 16 2 719 736 |
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 B. Dafflon S. Wielandt J. Lamb P. McClure I. Shirley S. Uhlemann C. Wang S. Fiolleau C. Brunetti F. H. Akins J. Fitzpatrick S. Pullman R. Busey C. Ulrich J. Peterson S. S. Hubbard A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
Measuring soil and snow temperature with high vertical and lateral resolution is critical for advancing the predictive understanding of thermal and hydro-biogeochemical processes that govern the behavior of environmental systems. Vertically resolved soil temperature measurements enable the estimation of soil thermal regimes, frozen-/thawed-layer thickness, thermal parameters, and heat and/or water fluxes. Similarly, they can be used to capture the snow depth and the snowpack thermal parameters and fluxes. However, these measurements are challenging to acquire using conventional approaches due to their total cost, their limited vertical resolution, and their large installation footprint. This study presents the development and validation of a novel distributed temperature profiling (DTP) system that addresses these challenges. The system leverages digital temperature sensors to provide unprecedented, finely resolved depth profiles of temperature measurements with flexibility in system geometry and vertical resolution. The integrated miniaturized logger enables automated data acquisition, management, and wireless transfer. A novel calibration approach adapted to the DTP system confirms the factory-assured sensor accuracy of ±0.1 ∘ C and enables improving it to ±0.015 ∘ C. Numerical experiments indicate that, under normal environmental conditions, an additional error of 0.01 % in amplitude and 70 s time delay in amplitude for a diurnal period can be expected, owing to the DTP housing. We demonstrate the DTP systems capability at two field sites, one focused on understanding how snow dynamics influence mountainous water resources and the other focused on understanding how soil properties influence carbon cycling. Results indicate that the DTP system reliably captures the dynamics in snow depth and soil freezing and thawing depth, enabling advances in understanding the intensity and timing in surface processes and their impact on subsurface thermohydrological regimes. Overall, the DTP system fulfills the needs for ... |
format |
Article in Journal/Newspaper |
author |
B. Dafflon S. Wielandt J. Lamb P. McClure I. Shirley S. Uhlemann C. Wang S. Fiolleau C. Brunetti F. H. Akins J. Fitzpatrick S. Pullman R. Busey C. Ulrich J. Peterson S. S. Hubbard |
author_facet |
B. Dafflon S. Wielandt J. Lamb P. McClure I. Shirley S. Uhlemann C. Wang S. Fiolleau C. Brunetti F. H. Akins J. Fitzpatrick S. Pullman R. Busey C. Ulrich J. Peterson S. S. Hubbard |
author_sort |
B. Dafflon |
title |
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
title_short |
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
title_full |
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
title_fullStr |
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
title_full_unstemmed |
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
title_sort |
distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/tc-16-719-2022 https://doaj.org/article/c6b00d7d33fb4a9ab77a41a71b69c256 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
The Cryosphere, Vol 16, Pp 719-736 (2022) |
op_relation |
https://tc.copernicus.org/articles/16/719/2022/tc-16-719-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-719-2022 1994-0416 1994-0424 https://doaj.org/article/c6b00d7d33fb4a9ab77a41a71b69c256 |
op_doi |
https://doi.org/10.5194/tc-16-719-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
2 |
container_start_page |
719 |
op_container_end_page |
736 |
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1766216569084444672 |