Articles | Volume 13, issue 1
https://doi.org/10.5194/gi-13-85-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-13-85-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Apr 2024
Research article |
| 26 Apr 2024
| 26 Apr 2024
A distributed-temperature-sensing-based soil temperature profiler
Bart Schilperoort
CORRESPONDING AUTHOR
Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Netherlands eScience Center, Science Park 402, 1098 XH Amsterdam, the Netherlands
César Jiménez Rodríguez
Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Luxembourg Institute of Science and Technology, Av. des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg
Bas van de Wiel
Department of Geoscience and Remote Sensing, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Miriam Coenders-Gerrits
Department of Water Management, Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
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Miombo woodland plants continue to lose water even during the driest part of the year. This appears to be facilitated by the adapted features such as deep rooting (beyond 5 m) with access to deep soil moisture, potentially even ground water. It appears the trend and amount of water that the plants lose is correlated more to the available energy. This loss of water in the dry season by miombo woodland plants appears to be incorrectly captured by satellite-based evaporation estimates.
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Grass has very strong insulating properties, which results in very large vertical air temperature differences in the relatively short canopy of around 10 cm. Accurately measuring this gradient within, and just above the grass is an open challenge in the field of atmospheric physics. In this paper we present a new, openly accessible and adaptable general method to probe vertical temperature profiles close to a mm vertical resolution, on the basis of Distributed Temperature Sensing (DTS).
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
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Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024, https://doi.org/10.5194/hess-28-3633-2024, 2024
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The fall and flushing of new leaves in the miombo woodlands co-occur in the dry season before the commencement of seasonal rainfall. The miombo species are also said to have access to soil moisture in deep soils, including groundwater in the dry season. Satellite-based evaporation estimates, temporal trends, and magnitudes differ the most in the dry season, most likely due to inadequate understanding and representation of the highlighted miombo species attributes in simulations.
Luuk D. van der Valk, Miriam Coenders-Gerrits, Rolf W. Hut, Aart Overeem, Bas Walraven, and Remko Uijlenhoet
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Miombo woodland plants continue to lose water even during the driest part of the year. This appears to be facilitated by the adapted features such as deep rooting (beyond 5 m) with access to deep soil moisture, potentially even ground water. It appears the trend and amount of water that the plants lose is correlated more to the available energy. This loss of water in the dry season by miombo woodland plants appears to be incorrectly captured by satellite-based evaporation estimates.
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Vegetation relies on soil water reservoirs during dry periods. However, when this source is depleted, the plants may access water stored deeper in the rocks. This rock moisture contribution is usually omitted in large-scale models, which affects modeled plant water use during dry periods. Our study illustrates that including this additional source of water in the Community Land Model improves the model's ability to reproduce observed plant water use at seasonally dry sites.
Henry Zimba, Miriam Coenders-Gerrits, Kawawa Banda, Petra Hulsman, Nick van de Giesen, Imasiku Nyambe, and Hubert Savenije
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-114, https://doi.org/10.5194/hess-2022-114, 2022
Manuscript not accepted for further review
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We compare performance of evaporation models in the Luangwa Basin located in a semi-arid and complex Miombo ecosystem in Africa. Miombo plants changes colour, drop off leaves and acquire new leaves during the dry season. In addition, the plant roots go deep in the soil and appear to access groundwater. Results show that evaporation models with structure and process that do not capture this unique plant structure and behaviour appears to have difficulties to correctly estimating evaporation.
Lívia M. P. Rosalem, Miriam Coenders-Gerritis, Jamil A. A. Anache, Seyed M. M. Sadeghi, and Edson Wendland
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-59, https://doi.org/10.5194/hess-2022-59, 2022
Manuscript not accepted for further review
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We monitored the interception process on an undisturbed savanna forest and applied two interception models to evaluate their performance at different time scales and study their seasonal response. As results, both models performed well at a monthly scale and could represent the seasonal trends observed. However, they presented some limitations to predict the evaporative processes on a daily basis.
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This work provides a global database of correction coefficients for improving the performance of the temperature-based Thornthwaite potential evapotranspiration formula and aridity indices (e.g., UNEP, Thornthwaite) that make use of this formula. The coefficients were produced using as a benchmark the ASCE-standardized reference evapotranspiration formula (formerly FAO-56) that requires temperature, solar radiation, wind speed, and relative humidity data.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
César Dionisio Jiménez-Rodríguez, Miriam Coenders-Gerrits, Bart Schilperoort, Adriana del Pilar González-Angarita, and Hubert Savenije
Hydrol. Earth Syst. Sci., 25, 619–635, https://doi.org/10.5194/hess-25-619-2021, https://doi.org/10.5194/hess-25-619-2021, 2021
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During rainfall events, evaporation from tropical forests is usually ignored. However, the water retained in the canopy during rainfall increases the evaporation despite the high-humidity conditions. In a tropical wet forest in Costa Rica, it was possible to depict vapor plumes rising from the forest canopy during rainfall. These plumes are evidence of forest evaporation. Also, we identified the conditions that allowed this phenomenon to happen using time-lapse videos and meteorological data.
Bart Schilperoort, Miriam Coenders-Gerrits, César Jiménez Rodríguez, Christiaan van der Tol, Bas van de Wiel, and Hubert Savenije
Biogeosciences, 17, 6423–6439, https://doi.org/10.5194/bg-17-6423-2020, https://doi.org/10.5194/bg-17-6423-2020, 2020
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With distributed temperature sensing (DTS) we measured a vertical temperature profile in a forest, from the forest floor to above the treetops. Using this temperature profile we can see which parts of the forest canopy are colder (thus more dense) or warmer (and less dense) and study the effect this has on the suppression of turbulent mixing. This can be used to improve our knowledge of the interaction between the atmosphere and forests and improve carbon dioxide flux measurements over forests.
Justus G. V. van Ramshorst, Miriam Coenders-Gerrits, Bart Schilperoort, Bas J. H. van de Wiel, Jonathan G. Izett, John S. Selker, Chad W. Higgins, Hubert H. G. Savenije, and Nick C. van de Giesen
Atmos. Meas. Tech., 13, 5423–5439, https://doi.org/10.5194/amt-13-5423-2020, https://doi.org/10.5194/amt-13-5423-2020, 2020
Short summary
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In this work we present experimental results of a novel actively heated fiber-optic (AHFO) observational wind-probing technique. We utilized a controlled wind-tunnel setup to assess both the accuracy and precision of AHFO under a range of operational conditions (wind speed, angles of attack and temperature differences). AHFO has the potential to provide high-resolution distributed observations of wind speeds, allowing for better spatial characterization of fine-scale processes.
D. Alex R. Gordon, Miriam Coenders-Gerrits, Brent A. Sellers, S. M. Moein Sadeghi, and John T. Van Stan II
Hydrol. Earth Syst. Sci., 24, 4587–4599, https://doi.org/10.5194/hess-24-4587-2020, https://doi.org/10.5194/hess-24-4587-2020, 2020
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Where plants exist, rain must pass through canopies to reach soils. We studied how rain interacts with dogfennel – a highly problematic weed that is abundant in pastures, grasslands, rangelands, urban forests and along highways. Dogfennels evaporated large portions (approx. one-fifth) of rain and drained significant (at times > 25 %) rain (and dew) down their stems to their roots (via stemflow). This may explain how dogfennel survives and even invades managed landscapes during extended droughts.
Cited articles
Abu-Hamdeh, N. H.: Thermal Properties of Soils as affected by Density and Water Content, Biosyst. Eng., 86, 97–102, https://doi.org/10.1016/S1537-5110(03)00112-0, 2003. a, b
Bagheri, A. R., Laforsch, C., Greiner, A., and Agarwal, S.: Fate of So‐Called Biodegradable Polymers in Seawater and Freshwater, Global Challeng., 1, 1700048, https://doi.org/10.1002/gch2.201700048, 2017. a
Bakker, M., Caljé, R., Schaars, F., van der Made, K., and de Haas, S.: An active heat tracer experiment to determine groundwater velocities using fiber optic cables installed with direct push equipment, Water Resour. Res., 51, 2760–2772, https://doi.org/10.1002/2014WR016632, 2015. a
Bense, V. F., Read, T., and Verhoef, A.: Using distributed temperature sensing to monitor field scale dynamics of ground surface temperature and related substrate heat flux, Agr. Forest Meteorol., 220, 207–215, https://doi.org/10.1016/j.agrformet.2016.01.138, 2016. a
Briggs, M. A., Lautz, L. K., McKenzie, J. M., Gordon, R. P., and Hare, D. K.: Using high‐resolution distributed temperature sensing to quantify spatial and temporal variability in vertical hyporheic flux, Water Resour. Res., 48, W02527, https://doi.org/10.1029/2011WR011227, 2012. a
Chua, C. K., Leong, K. F., and Lim, C. S.: Rapid Prototyping: Principles and Applications, World Scientific, Singapore, ISBN 9789812381170, 2003. a
De Jong, S. A. P., Slingerland, J. D., and Van De Giesen, N. C.: Fiber optic distributed temperature sensing for the determination of air temperature, Atmos. Meas. Tech., 8, 335–339, https://doi.org/10.5194/amt-8-335-2015, 2015. a
des Tombe, B. F., Bakker, M., Schaars, F., and van der Made, K. J.: Estimating Travel Time in Bank Filtration Systems from a Numerical Model Based on DTS Measurements, Groundwater, 56, 288–299, https://doi.org/10.1111/gwat.12581, 2018. a
Dong, J., Steele‐Dunne, S. C., Ochsner, T. E., Hatch, C. E., Sayde, C., Selker, J., Tyler, S., Cosh, M. H., and van de Giesen, N.: Mapping high‐resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother, Water Resour. Res., 52, 7690–7710, https://doi.org/10.1002/2016WR019031, 2016. a, b
Eppelbaum, L., Kutasov, I., and Pilchin, A.: Applied Geothermics, in: Lecture Notes in Earth System Sciences, Springer, Berlin, Heidelberg, ISBN 978-3-642-34022-2, https://doi.org/10.1007/978-3-642-34023-9, 2014. a
Farah, S., Anderson, D. G., and Langer, R.: Physical and mechanical properties of PLA, and their functions in widespread applications – A comprehensive review, Adv. Drug Deliv. Rev., 107, 367–392, https://doi.org/10.1016/j.addr.2016.06.012, 2016. a
Fornberg, B.: Generation of finite difference formulas on arbitrarily spaced grids, Math. Comput., 51, 699–699, https://doi.org/10.1090/S0025-5718-1988-0935077-0, 1988. a
He, H., Dyck, M. F., Horton, R., Li, M., Jin, H., and Si, B.: Distributed Temperature Sensing for Soil Physical Measurements and Its Similarity to Heat Pulse Method, Adv. Agron., 148, 173–230, https://doi.org/10.1016/bs.agron.2017.11.003, 2018. a
Heusinkveld, B. G., Jacobs, A. F., Holtslag, A. A., and Berkowicz, S. M.: Surface energy balance closure in an arid region: Role of soil heat flux, Agr. Forest Meteorol., 122, 21–37, https://doi.org/10.1016/j.agrformet.2003.09.005, 2004. a, b
Heusinkveld, V. W., Antoon van Hooft, J., Schilperoort, B., Baas, P., ten Veldhuis, M.-c., and van de Wiel, B. J.: Towards a physics-based understanding of fruit frost protection using wind machines, Agr.Forest Meteorol., 282–283, 107868, https://doi.org/10.1016/j.agrformet.2019.107868, 2020. a
Hilgersom, K., van Emmerik, T., Solcerova, A., Berghuijs, W., Selker, J., and van de Giesen, N.: Practical considerations for enhanced-resolution coil-wrapped distributed temperature sensing, Geosci. Instrum. Method. Data Syst., 5, 151–162, https://doi.org/10.5194/gi-5-151-2016, 2016. a, b
Holtslag, A. A. M. and De Bruin, H. A. R.: Applied Modeling of the Nighttime Surface Energy Balance over Land, J. Appl. Meteorol., 27, 689–704, https://doi.org/10.1175/1520-0450(1988)027<0689:AMOTNS>2.0.CO;2, 1988. a
Izett, J. G., Schilperoort, B., Coenders-Gerrits, M., Baas, P., Bosveld, F. C., and van de Wiel, B. J. H.: Missed Fog?, Bound.-Lay. Meteorol., 173, 289–309, https://doi.org/10.1007/s10546-019-00462-3, 2019. a
Jansen, J., Stive, P. M., van de Giesen, N., Tyler, S., Steele-Dunne, S. C., and Williamson, L.: Estimating soil heat flux using Distributed Temperature Sensing, GRACE, Remote Sensing and Ground-based Methods in Multi-Scale Hydrology, 140–144, ISBN 978-1-907161-18-6, https://iahs.info/uploads/dms/16743.28-140-144-343-10-Jansen.pdf (last access: 15 April 2024), 2011. a
Moene, A. F. and van Dam, J. C.: Transport in the Atmosphere-Vegetation-Soil Continuum, Cambridge University Press, ISBN 9780521195683, https://doi.org/10.1017/CBO9781139043137, 2014. a, b
Ochsner, T. E., Horton, R., and Ren, T.: A New Perspective on Soil Thermal Properties, Soil Sci. Soc. Am. J., 65, 1641–1647, https://doi.org/10.2136/sssaj2001.1641, 2001. a
Rigid.ink: PETG data shet, Tech. rep., rigid.ink, Wetherby, UK, http://devel.lulzbot.com/filament/Rigid_Ink/PETG DATA SHEET.pdf (last access: 15 April 2024), 2017. a
Saito, K., Iwahana, G., Ikawa, H., Nagano, H., and Busey, R. C.: Links between annual surface temperature variation and land cover heterogeneity for a boreal forest as characterized by continuous, fibre-optic DTS monitoring, Geosci. Instrum. Method. Data Syst., 7, 223–234, https://doi.org/10.5194/gi-7-223-2018, 2018. a, b
Sayde, C., Gregory, C., Gil-Rodriguez, M., Tufillaro, N., Tyler, S., van de Giesen, N., English, M., Cuenca, R., and Selker, J. S.: Feasibility of soil moisture monitoring with heated fiber optics, Water Resour. Res., 46, W06201, https://doi.org/10.1029/2009WR007846, 2010. a, b
Schilperoort, B.: DTS-based 3D printing design for a soil temperature profiler, Zenodo [data set], https://doi.org/10.5281/zenodo.10984607, 2021. a
Schilperoort, B.: Heat Exchange in a Conifer Canopy: A Deep Look using Fiber Optic Sensors, Doctoral dissertation, Delft University of Technology, Delft, https://doi.org/10.4233/uuid:6d18abba-a418-4870-ab19-c195364b654b, 2022. a
Schilperoort, B. and Jiménez-Rodríguez, C. D.: Soil temperature profiles, measured using a coil-shaped fiber-optic distributed temperature sensor, Zenodo [data set], https://doi.org/10.5281/zenodo.8108401, 2023. a
Schilperoort, B., Coenders-Gerrits, M., Jiménez Rodríguez, C., van der Tol, C., van de Wiel, B., and Savenije, H.: Decoupling of a Douglas fir canopy: a look into the subcanopy with continuous vertical temperature profiles, Biogeosciences, 17, 6423–6439, https://doi.org/10.5194/bg-17-6423-2020, 2020. a
Selker, J. S., Thévenaz, L., Huwald, H., Mallet, A., Luxemburg, W., Van De Giesen, N., Stejskal, M., Zeman, J., Westhoff, M., and Parlange, M. B.: Distributed fiber-optic temperature sensing for hydrologic systems, Water Resour. Res., 42, 1–8, https://doi.org/10.1029/2006WR005326, 2006. a
Shehata, M., Heitman, J., Ishak, J., and Sayde, C.: High‐Resolution Measurement of Soil Thermal Properties and Moisture Content Using a Novel Heated Fiber Optics Approach, Water Resour. Res., 56, e2019WR025204, https://doi.org/10.1029/2019WR025204, 2020. a
Simon, N., Bour, O., Lavenant, N., Porel, G., Nauleau, B., Pouladi, B., Longuevergne, L., and Crave, A.: Numerical and Experimental Validation of the Applicability of Active‐DTS Experiments to Estimate Thermal Conductivity and Groundwater Flux in Porous Media, Water Resour. Res., 57, e2020WR028078, https://doi.org/10.1029/2020WR028078, 2021. a
Steele-Dunne, S. C., Rutten, M. M., Krzeminska, D. M., Hausner, M., Tyler, S. W., Selker, J., Bogaard, T. A., and Van De Giesen, N. C.: Feasibility of soil moisture estimation using passive distributed temperature sensing, Water Resour. Res., 46, 1–12, https://doi.org/10.1029/2009WR008272, 2010. a, b, c
Striegl, A. M. and Loheide II, S. P.: Heated Distributed Temperature Sensing for Field Scale Soil Moisture Monitoring, Ground Water, 50, 340–347, https://doi.org/10.1111/j.1745-6584.2012.00928.x, 2012. a
Taylor, C.: Finite Difference Coefficients Calculator, https://web.media.mit.edu/~crtaylor/calculator.html (last access: 15 April 2024), 2016. a
Tiktak, A. and Bouten, W.: Soil water dynamics and long-term water balances of a Douglas fir stand in the Netherlands, J. Hydrol., 156, 265–283, https://doi.org/10.1016/0022-1694(94)90081-7, 1994. a
van der Linden, S. J. A., Kruis, M. T., Hartogensis, O. K., Moene, A. F., Bosveld, F. C., and van de Wiel, B. J. H.: Heat Transfer Through Grass: A Diffusive Approach, Bound.-Lay. Meteorol., 184, 251–276, https://doi.org/10.1007/s10546-022-00708-7, 2022. a, b
van der Tol, C.: Validation of remote sensing of bare soil ground heat flux, Remote Sens. Environ., 121, 275–286, https://doi.org/10.1016/j.rse.2012.02.009, 2012. a
Van de Wiel, B. J. H., Moene, A. F., Hartogensis, O. K., De Bruin, H. A. R., and Holtslag, A. A. M.: Intermittent Turbulence in the Stable Boundary Layer over Land. Part III: A Classification for Observations during CASES-99, J. Atmos. Sci., 60, 2509–2522, https://doi.org/10.1175/1520-0469(2003)060<2509:ITITSB>2.0.CO;2, 2003. a, b
van Ramshorst, J. G. V., Coenders-Gerrits, M., Schilperoort, B., van de Wiel, B. J. H., Izett, J. G., Selker, J. S., Higgins, C. W., Savenije, H. H. G., and van de Giesen, N. C.: Revisiting wind speed measurements using actively heated fiber optics: a wind tunnel study, Atmos. Meas. Tech., 13, 5423–5439, https://doi.org/10.5194/amt-13-5423-2020, 2020. a
van Wijk, W. and de Vries, D.: Periodic temperature variations in a homogeneous soil, in: Physics of plant environment, North-Holland Publ. Co., Amsterdam, 102–143, https://doi.org/10.1002/qj.49709038628, 1963. a
Verhoef, A.: Remote estimation of thermal inertia and soil heat flux for bare soil, Agr. Forest Meteorol., 123, 221–236, https://doi.org/10.1016/j.agrformet.2003.11.005, 2004. a
Vogt, T., Schneider, P., Hahn-Woernle, L., and Cirpka, O. A.: Estimation of seepage rates in a losing stream by means of fiber-optic high-resolution vertical temperature profiling, J. Hydrol., 380, 154–164, https://doi.org/10.1016/j.jhydrol.2009.10.033, 2010. a
Vuik, C., van Beek, P., Vermolen, F., and van Kan, J.: Numerical methods for ordinary differential equations, VSSD, Delft, ISBN 9781281744555, 2007. a
Wu, R., Martin, V., McKenzie, J., Broda, S., Bussière, B., Aubertin, M., and Kurylyk, B. L.: Laboratory-scale assessment of a capillary barrier using fibre optic distributed temperature sensing (FO-DTS), Can. Geotech. J., 57, 115–126, https://doi.org/10.1139/cgj-2018-0283, 2020. a, b
Wu, R., Lamontagne-Hallé, P., and McKenzie, J. M.: Uncertainties in Measuring Soil Moisture Content with Actively Heated Fiber-Optic Distributed Temperature Sensing, Sensors, 21, 3723, https://doi.org/10.3390/s21113723, 2021. a
Xie, X., Lu, Y., Ren, T., and Horton, R.: Soil temperature estimation with the harmonic method is affected by thermal diffusivity parameterization, Geoderma, 353, 97–103, https://doi.org/10.1016/j.geoderma.2019.06.029, 2019. a
Short summary
Heat storage in the soil is difficult to measure due to vertical heterogeneity. To improve measurements, we designed a 3D-printed probe that uses fiber-optic distributed temperature sensing to measure a vertical profile of soil temperature. We validated the temperature measurements against standard instrumentation. With the high-resolution data we were able to determine the thermal diffusivity of the soil at a resolution of 2.5 cm, which is much higher compared to traditional methods.
Heat storage in the soil is difficult to measure due to vertical heterogeneity. To improve...
