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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Published in | The cryosphere Vol. 16; no. 2; pp. 719 - 736 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Katlenburg-Lindau
Copernicus GmbH
03.03.2022
Copernicus Publications |
Subjects | |
Online Access | Get full text |
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Summary: | 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 data accuracy, minimal power consumption, and low total cost,
enabling advances in the multiscale understanding of various cryospheric and hydro-biogeochemical processes. |
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Bibliography: | AC02-05CH11231 USDOE Office of Science (SC), Biological and Environmental Research (BER) |
ISSN: | 1994-0424 1994-0416 1994-0424 1994-0416 |
DOI: | 10.5194/tc-16-719-2022 |