Articles | Volume 16, issue 2
https://doi.org/10.5194/tc-16-719-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-719-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Mar 2022
Research article |
| 03 Mar 2022
| 03 Mar 2022
A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Stijn Wielandt
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
John Lamb
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Patrick McClure
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Ian Shirley
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Sebastian Uhlemann
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Chen Wang
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Sylvain Fiolleau
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Carlotta Brunetti
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Franklin H. Akins
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
John Fitzpatrick
Independent Researchers, Oakland, CA 94501, USA
Samuel Pullman
Independent Researchers, Oakland, CA 94501, USA
Robert Busey
Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK 99775, USA
Craig Ulrich
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
John Peterson
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Susan S. Hubbard
Climate & Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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Cited
16 citations as recorded by crossref.
- Predictive monitoring of urban slope instabilities using geophysics and wireless sensor networks S. Uhlemann et al. 10.1190/tle42090634.1
- Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements S. Uhlemann et al. 10.1029/2023GL103987
- Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope S. Uhlemann et al. 10.1029/2023WR036137
- Low-Power, Flexible Sensor Arrays with Solderless Board-to-Board Connectors for Monitoring Soil Deformation and Temperature S. Wielandt et al. 10.3390/s22072814
- Monitoring snow water equivalent using the phase of RFID signals M. Le Breton et al. 10.5194/tc-17-3137-2023
- Comparing Thermal Regime Stages along a Small Yakutian Fluvial Valley with Point Scale Measurements, Thermal Modeling, and Near Surface Geophysics E. Léger et al. 10.3390/rs15102524
- An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing G. Leenders et al. 10.3390/s23114994
- Brief communication: Testing a portable Bullard-type temperature lance confirms highly spatially heterogeneous sediment temperatures under shallow bodies of water in the Arctic F. Miesner et al. 10.5194/tc-18-2603-2024
- The contribution of near surface geophysics to measure soil related terroir factors in viticulture: A review C. van Leeuwen et al. 10.1016/j.geoderma.2024.116983
- TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring S. Wielandt et al. 10.1007/s11265-023-01834-2
- Local-scale heterogeneity of soil thermal dynamics and controlling factors in a discontinuous permafrost region C. Wang et al. 10.1088/1748-9326/ad27bb
- Canopy cover and microtopography control precipitation-enhanced thaw of ecosystem-protected permafrost J. Eklof et al. 10.1088/1748-9326/ad31d7
- High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning E. Thaler et al. 10.1029/2023EA003015
- Interpretation of spring-water temperature variability based on continuous monitoring and numerical modelling of heat transport and water mixing: case study of Czarny Potok spring, Pieniny Mountains, southern Poland T. Gruszczyński et al. 10.1007/s10040-023-02729-z
- Probabilistic estimation of depth-resolved profiles of soil thermal diffusivity from temperature time series C. Brunetti et al. 10.5194/esurf-10-687-2022
- A distributed temperature profiling system for vertically and laterally dense acquisition of soil and snow temperature B. Dafflon et al. 10.5194/tc-16-719-2022
15 citations as recorded by crossref.
- Predictive monitoring of urban slope instabilities using geophysics and wireless sensor networks S. Uhlemann et al. 10.1190/tle42090634.1
- Estimating Permafrost Distribution Using Co‐Located Temperature and Electrical Resistivity Measurements S. Uhlemann et al. 10.1029/2023GL103987
- Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope S. Uhlemann et al. 10.1029/2023WR036137
- Low-Power, Flexible Sensor Arrays with Solderless Board-to-Board Connectors for Monitoring Soil Deformation and Temperature S. Wielandt et al. 10.3390/s22072814
- Monitoring snow water equivalent using the phase of RFID signals M. Le Breton et al. 10.5194/tc-17-3137-2023
- Comparing Thermal Regime Stages along a Small Yakutian Fluvial Valley with Point Scale Measurements, Thermal Modeling, and Near Surface Geophysics E. Léger et al. 10.3390/rs15102524
- An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing G. Leenders et al. 10.3390/s23114994
- Brief communication: Testing a portable Bullard-type temperature lance confirms highly spatially heterogeneous sediment temperatures under shallow bodies of water in the Arctic F. Miesner et al. 10.5194/tc-18-2603-2024
- The contribution of near surface geophysics to measure soil related terroir factors in viticulture: A review C. van Leeuwen et al. 10.1016/j.geoderma.2024.116983
- TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring S. Wielandt et al. 10.1007/s11265-023-01834-2
- Local-scale heterogeneity of soil thermal dynamics and controlling factors in a discontinuous permafrost region C. Wang et al. 10.1088/1748-9326/ad27bb
- Canopy cover and microtopography control precipitation-enhanced thaw of ecosystem-protected permafrost J. Eklof et al. 10.1088/1748-9326/ad31d7
- High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning E. Thaler et al. 10.1029/2023EA003015
- Interpretation of spring-water temperature variability based on continuous monitoring and numerical modelling of heat transport and water mixing: case study of Czarny Potok spring, Pieniny Mountains, southern Poland T. Gruszczyński et al. 10.1007/s10040-023-02729-z
- Probabilistic estimation of depth-resolved profiles of soil thermal diffusivity from temperature time series C. Brunetti et al. 10.5194/esurf-10-687-2022
Latest update: 22 Nov 2024
Short summary
This study presents the development and validation of a novel acquisition system for measuring finely resolved depth profiles of soil and snow temperature at multiple locations. Results indicate that the system reliably captures the dynamics in snow thickness, as well as soil freezing and thawing depth, enabling advances in understanding the intensity and timing in surface processes and their impact on subsurface thermohydrological regimes.
This study presents the development and validation of a novel acquisition system for measuring...
