Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-6853-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-6853-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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20 Nov 2025
Research article | Highlight paper |
| 20 Nov 2025
| 20 Nov 2025
An adaptable DTS-based parametric method to probe near-surface vertical temperature profiles at millimeter resolution
Constantijn G. B. ter Horst
Delft University of Technology, Department of Geoscience and Remote Sensing, Delft, the Netherlands
Gijsbert A. Vis
Delft University of Technology, Department of Water Management, Delft, the Netherlands
GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany
Judith Jongen-Boekee
Delft University of Technology, Department of Water Management, Delft, the Netherlands
Marie-Claire ten Veldhuis
Delft University of Technology, Department of Water Management, Delft, the Netherlands
Rolf W. Hut
Delft University of Technology, Department of Water Management, Delft, the Netherlands
Bas J. H. van de Wiel
CORRESPONDING AUTHOR
Delft University of Technology, Department of Geoscience and Remote Sensing, Delft, the Netherlands
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Huiwen Zhang, Jianzhi Dong, Xiaoqi Kang, Lingna Wei, Ying Zhu, Rolf Hut, and Vincent Hoogelander
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-792, https://doi.org/10.5194/essd-2025-792, 2026
Preprint under review for ESSD
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We present SUPER v2, a 3-hourly, 0.1° precipitation dataset for global land areas covering 2000–2023. It merges satellite and reanalysis products using a statistical uncertainty-based framework that minimizes reliance on gauge observations, making it particularly suitable for data-sparse regions. Evaluation using over 5,000 independent gauges shows that SUPER v2 achieves higher accuracy than existing products, supporting global drought monitoring and hydrological modeling.
Gijsbert A. Vis, Oscar K. Hartogensis, Marie-Claire ten Veldhuis, Bas J. H. van de Wiel, and Miriam Coenders-Gerrits
EGUsphere, https://doi.org/10.5194/egusphere-2025-6125, https://doi.org/10.5194/egusphere-2025-6125, 2026
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Heat exchange between land and air mainly happens through turbulence. Usually turbulence is measured at one location over time, but it also happens over space. In this study, we use fiber optic cables (DTS) that can measure temperature to capture turbulence over time, as well as directly over space. If compared with conventional instruments, we found a good correlation but also an underestimation. We recommend using DTS alongside with conventional instruments so they can complement each other.
Marc Emanuel Schneiter, Rolf Hut, and Erik Van Sebille
EGUsphere, https://doi.org/10.5194/egusphere-2025-6170, https://doi.org/10.5194/egusphere-2025-6170, 2025
This preprint is open for discussion and under review for Ocean Science (OS).
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We study land-water transitions of 24 small floating position-trackers that approximately mimic floating plastic litter. We describe how to automatically identify such transitions from recorded tracks, and we characterize our observations with respect to sea and wind conditions. The insights can be integrated in model simulations and used for the planning of beach cleanups. We released the trackers in the Wadden Sea, a shallow body of water that is strongly influenced by tides and wind.
Luuk D. van der Valk, Oscar K. Hartogensis, Miriam Coenders-Gerrits, Rolf W. Hut, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 29, 6589–6606, https://doi.org/10.5194/hess-29-6589-2025, https://doi.org/10.5194/hess-29-6589-2025, 2025
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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.
Luuk D. van der Valk, Oscar K. Hartogensis, Miriam Coenders-Gerrits, Rolf W. Hut, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 18, 6143–6165, https://doi.org/10.5194/amt-18-6143-2025, https://doi.org/10.5194/amt-18-6143-2025, 2025
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals to 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 for 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.
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025, https://doi.org/10.5194/hess-29-3545-2025, 2025
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This research examines how future climate changes impact root zone storage, a key hydrological model parameter. Root zone storage – the soil water accessible to plants – adapts to climate but is often kept constant in models. We estimated climate-adapted storage in six Austrian Alps catchments. While storage increased, streamflow projections showed minimal change, which suggests that dynamic root zone representation is less critical in humid regions but warrants further study in arid areas.
Jerom P. M. Aerts, Jannis M. Hoch, Gemma Coxon, Nick C. van de Giesen, and Rolf W. Hut
Hydrol. Earth Syst. Sci., 28, 5011–5030, https://doi.org/10.5194/hess-28-5011-2024, https://doi.org/10.5194/hess-28-5011-2024, 2024
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For users of hydrological models, model suitability often hinges on how well simulated outputs match observed discharge. This study highlights the importance of including discharge observation uncertainty in hydrological model performance assessment. We highlight the need to account for this uncertainty in model comparisons and introduce a practical method suitable for any observational time series with available uncertainty estimates.
Luuk D. van der Valk, Miriam Coenders-Gerrits, Rolf W. Hut, Aart Overeem, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 17, 2811–2832, https://doi.org/10.5194/amt-17-2811-2024, https://doi.org/10.5194/amt-17-2811-2024, 2024
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Microwave links, often part of mobile phone networks, can be used to measure rainfall along the link path by determining the signal loss caused by rainfall. We use high-frequency data of multiple microwave links to recreate commonly used sampling strategies. For time intervals up to 1 min, the influence of sampling strategies on estimated rainfall intensities is relatively little, while for intervals longer than 5–15 min, the sampling strategy can have significant influences on the estimates.
Bart Schilperoort, César Jiménez Rodríguez, Bas van de Wiel, and Miriam Coenders-Gerrits
Geosci. Instrum. Method. Data Syst., 13, 85–95, https://doi.org/10.5194/gi-13-85-2024, https://doi.org/10.5194/gi-13-85-2024, 2024
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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.
Cynthia Maan, Marie-Claire ten Veldhuis, and Bas J. H. van de Wiel
Hydrol. Earth Syst. Sci., 27, 2341–2355, https://doi.org/10.5194/hess-27-2341-2023, https://doi.org/10.5194/hess-27-2341-2023, 2023
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Their flexible growth provides the plants with a strong ability to adapt and develop resilience to droughts and climate change. But this adaptability is badly included in crop and climate models. To model plant development in changing environments, we need to include the survival strategies of plants. Based on experimental data, we set up a simple model for soil-moisture-driven root growth. The model performance suggests that soil moisture is a key parameter determining root growth.
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022, https://doi.org/10.5194/hess-26-5971-2022, 2022
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We test whether coupling a global glacier model (GloGEM) with a global hydrological model (PCR-GLOBWB 2) leads to a more realistic glacier representation and to improved basin runoff simulations across 25 large-scale basins. The coupling does lead to improved glacier representation, mainly by accounting for glacier flow and net glacier mass loss, and to improved basin runoff simulations, mostly in strongly glacier-influenced basins, which is where the coupling has the most impact.
Jerom P. M. Aerts, Rolf W. Hut, Nick C. van de Giesen, Niels Drost, Willem J. van Verseveld, Albrecht H. Weerts, and Pieter Hazenberg
Hydrol. Earth Syst. Sci., 26, 4407–4430, https://doi.org/10.5194/hess-26-4407-2022, https://doi.org/10.5194/hess-26-4407-2022, 2022
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In recent years gridded hydrological modelling moved into the realm of hyper-resolution modelling (<10 km). In this study, we investigate the effect of varying grid-cell sizes for the wflow_sbm hydrological model. We used a large sample of basins from the CAMELS data set to test the effect that varying grid-cell sizes has on the simulation of streamflow at the basin outlet. Results show that there is no single best grid-cell size for modelling streamflow throughout the domain.
Rolf Hut, Niels Drost, Nick van de Giesen, Ben van Werkhoven, Banafsheh Abdollahi, Jerom Aerts, Thomas Albers, Fakhereh Alidoost, Bouwe Andela, Jaro Camphuijsen, Yifat Dzigan, Ronald van Haren, Eric Hutton, Peter Kalverla, Maarten van Meersbergen, Gijs van den Oord, Inti Pelupessy, Stef Smeets, Stefan Verhoeven, Martine de Vos, and Berend Weel
Geosci. Model Dev., 15, 5371–5390, https://doi.org/10.5194/gmd-15-5371-2022, https://doi.org/10.5194/gmd-15-5371-2022, 2022
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With the eWaterCycle platform, we are providing the hydrological community with a platform to conduct their research that is fully compatible with the principles of both open science and FAIR science. The eWatercyle platform gives easy access to well-known hydrological models, big datasets and example experiments. Using eWaterCycle hydrologists can easily compare the results from different models, couple models and do more complex hydrological computational research.
Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022, https://doi.org/10.5194/hess-26-775-2022, 2022
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The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.
Caitlyn A. Hall, Sheila M. Saia, Andrea L. Popp, Nilay Dogulu, Stanislaus J. Schymanski, Niels Drost, Tim van Emmerik, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 647–664, https://doi.org/10.5194/hess-26-647-2022, https://doi.org/10.5194/hess-26-647-2022, 2022
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Impactful open, accessible, reusable, and reproducible hydrologic research practices are being embraced by individuals and the community, but taking the plunge can seem overwhelming. We present the Open Hydrology Principles and Practical Guide to help hydrologists move toward open science, research, and education. We discuss the benefits and how hydrologists can overcome common challenges. We encourage all hydrologists to join the open science community (https://open-hydrology.github.io).
Vassilis Aschonitis, Dimos Touloumidis, Marie-Claire ten Veldhuis, and Miriam Coenders-Gerrits
Earth Syst. Sci. Data, 14, 163–177, https://doi.org/10.5194/essd-14-163-2022, https://doi.org/10.5194/essd-14-163-2022, 2022
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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.
Didier de Villiers, Marc Schleiss, Marie-Claire ten Veldhuis, Rolf Hut, and Nick van de Giesen
Atmos. Meas. Tech., 14, 5607–5623, https://doi.org/10.5194/amt-14-5607-2021, https://doi.org/10.5194/amt-14-5607-2021, 2021
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Ground-based rainfall observations across the African continent are sparse. We present a new and inexpensive rainfall measuring instrument (the intervalometer) and use it to derive reasonably accurate rainfall rates. These are dependent on a fundamental assumption that is widely used in parameterisations of the rain drop size distribution. This assumption is tested and found to not apply for most raindrops but is still useful in deriving rainfall rates. The intervalometer shows good potential.
Cited articles
Apituley, A.: Ruisdael Observatory: Cabauw, https://ruisdael-observatory.nl/cabauw/ (last accessed: 21 June 2024), 2024. a
Abdel-Wahab, A. A., Ataya, S., and Silberschmidt, V. V.: Temperature-dependent mechanical behaviour of PMMA: Experimental Analysis and modelling, Polymer Testing, 58, 86–95, https://doi.org/10.1016/j.polymertesting.2016.12.016, 2017. a
Ashby, M. F.: Materials selection in mechanical design, Butterworth-Heinemann, https://doi.org/10.1016/C2009-0-25539-5, 2025. a
Boekee, J., van der Linden, S., ten Veldhuis, M., Verouden, I., Nollen, P., Dai, Y., Jongen, H., and van de Wiel, B.: Rethinking the Roughness Height: An Improved Description of Temperature Profiles over Short Vegetation, Boundary-Layer Meteorology, 190, https://doi.org/10.1007/s10546-024-00871-z, 2024. a, b, c
Bosveld, F.: The Cabauw In-situ Observational Program 2000 – Present: Instruments, Calibrations and Set-up, Tech. Rep. TR-384, Royal Netherlands Meteorological Institute (KNMI), https://www.knmi.nl/research/publications/the-cabauw-in-situ-observational-program-2000-present-instruments-calibrations-and-set-up (last access: 29 March 2025), 2020. a
Bradshaw, P. and Huang, G. P.: The law of the wall in turbulent flow, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences, 451, 165–188, https://doi.org/10.1098/rspa.1995.0122, 1995. a
Casini, M.: Chapter 6 – Advanced digital design tools and methods, Publishing Series in Civil and Structural Engineering, https://doi.org/10.1016/B978-0-12-821797-9.00009-X, 2022. a
De Bruijn, E., Bosveld, F., and Van Der Plas, E.: An intercomparison study of ice thickness models in the Netherlands, Tellus A: Dynamic Meteorology and Oceanography, 66, 21244, https://doi.org/10.3402/tellusa.v66.21244, 2014. a, b
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, b
des Tombe, B., Schilperoort, B., and Bakker, M.: Estimation of temperature and associated uncertainty from fiber-optic Raman-spectrum distributed temperature sensing, Sensors, 20, 2235, https://doi.org/10.3390/s20082235, 2020. a
des Tombe, B. F. and Schilperoort, B.: Python distributed temperature sensing calibration, Zenodo, https://doi.org/10.5281/zenodo.3531558, 2019. a
Fernández, A., Redondo, A., de León, J. M., and Cantero, D.: PMMA stability under hydrothermal conditions, The Journal of Supercritical Fluids, 198, 105938, https://doi.org/10.1016/j.supflu.2023.105938, 2023. a
Foken, T.: 50 years of the monin-obukhov similarity theory, Boundary-Layer Meteorology, 119, 431–447, https://doi.org/10.1007/s10546-006-9048-6, 2006. a
Ganot, Y., Dragila, M., and Weisbrod, N.: Impact of thermal convection on air circulation in a mammalian burrow under arid conditions, Journal of Arid Environments, 84, 51–62, https://doi.org/10.1016/j.jaridenv.2012.04.003, 2012. a
Gill Instruments: R3-100™ 3-Axis Ultrasonic Anemometer Specification Sheet, Tech. rep., Gill Instruments, https://dynamax.com/images/uploads/papers/R3-100.pdf (last access: 29 March 2025), 2014. a
GrantaEduPack: Granta EduPack Material Library, https://www.ansys.com/products/materials/granta-edupack (last access: 29 March 2025), 2025. a
Gultepe, I., Tardif, R., Michaelides, S. C., Cermak, J., Bott, A., Bendix, J., Müller, M. D., Pagowski, M., Hansen, B., Ellrod, G., Jacobs, W., Toth, G., and Cober, S. G.: Fog research: A review of past achievements and future perspectives, Pure and Applied Geophysics, 164, 1121–1159, https://doi.org/10.1007/s00024-007-0211-x, 2007. 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
Hong, C., Qu, Z., Xiao, R., Wang, Z., Yang, Y., Qian, J., Zhang, C., Zhang, Y., Li, X., Dong, Z., and Gu, Z.: Vertical thermal environment investigation in different urban zones (LCZ4/LCZ6/LCZA) and heat mitigation evaluation: Field measurements and numerical simulations, Building and Environment, 262, 111840, https://doi.org/10.1016/j.buildenv.2024.111840, 2024. a
Hut, R., Drost, N., van de Giesen, N., van Werkhoven, B., Abdollahi, B., Aerts, J., Albers, T., Alidoost, F., Andela, B., Camphuijsen, J., Dzigan, Y., van Haren, R., Hutton, E., Kalverla, P., van Meersbergen, M., van den Oord, G., Pelupessy, I., Smeets, S., Verhoeven, S., de Vos, M., and Weel, B.: The eWaterCycle platform for open and FAIR hydrological collaboration, Geosci. Model Dev., 15, 5371–5390, https://doi.org/10.5194/gmd-15-5371-2022, 2022. a
Izett, J. G., Schilperoort, B., Coenders-Gerrits, M., Baas, P., Bosveld, F. C., and van de Wiel, B. J.: Missed fog? On the potential of obtaining observations at increased resolution during shallow fog events, Boundary-Layer Meteorology, 173, 289–309, https://doi.org/10.1007/s10546-019-00462-3, 2019. a, b
Jacobs, A., Boxel, J. v., and Shaw, R.: Horizontal and vertical distribution of air temperature in a vegetation [maize] canopy., Netherlands Journal of Agricultural Science, 40, 359–372, https://doi.org/10.18174/njas.v40i4.16498, 1992. a
Jim, C. Y.: Effect of vegetation biomass structure on thermal performance of Tropical Green Roof, Landscape and Ecological Engineering, 8, 173–187, https://doi.org/10.1007/s11355-011-0161-4, 2011. a
McNeel, R. and Associates: Grasshopper: Algorithmic Modeling for Rhino, https://www.grasshopper3d.com, last accessed: 16 December 2024. a
Meier, R., Davin, E. L., Bonan, G. B., Lawrence, D. M., Hu, X., Duveiller, G., Prigent, C., and Seneviratne, S. I.: Impacts of a revised surface roughness parameterization in the Community Land Model 5.1, Geosci. Model Dev., 15, 2365–2393, https://doi.org/10.5194/gmd-15-2365-2022, 2022. a
Moene, A. F. and van Dam, J. C.: Transport in the atmosphere-vegetation-soil continuum, Cambridge University Press, https://doi.org/10.1017/CBO9781139043137, 2014. a
Paaijmans, K. P., Jacobs, A., Takken, W., Heusinkveld, B., Githeko, A., Dicke, M., and Holtslag, A.: Observations and model estimates of diurnal water temperature dynamics in mosquito breeding sites in western Kenya, Hydrological Processes: An international journal, 22, 4789–4801, https://doi.org/10.1002/hyp.7099, 2008. a, b
Peltola, O., Lapo, K., Martinkauppi, I., O'Connor, E., Thomas, C. K., and Vesala, T.: Suitability of fibre-optic distributed temperature sensing for revealing mixing processes and higher-order moments at the forest–air interface, Atmos. Meas. Tech., 14, 2409–2427, https://doi.org/10.5194/amt-14-2409-2021, 2021. a
Rahman, F., Carbaugh, D. J., Wright, J. T., Rajan, P., Pandya, S. G., and Kaya, S.: A review of polymethyl methacrylate (PMMA) as a versatile lithographic resist–With emphasis on UV exposure, Microelectronic Engineering, 224, 111238, https://doi.org/10.1016/j.mee.2020.111238, 2020. 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
Sigmund, A., Pfister, L., Sayde, C., and Thomas, C. K.: Quantitative analysis of the radiation error for aerial coiled-fiber-optic distributed temperature sensing deployments using reinforcing fabric as support structure, Atmos. Meas. Tech., 10, 2149–2162, https://doi.org/10.5194/amt-10-2149-2017, 2017. a, b, c
Snyder, R. L. and de Melo-Abreu, J. P.: Frost Protection: fundamentals, practice, and economics: Introduction, Online, https://www.fao.org/4/y7223e/y7223e07.htm, last accessed: 19 December 2024, 2005. a
ter Horst, C.: Cgbterhorst/DTS-based-coil-measurement-technique: Code publication release, Zenodo, https://doi.org/10.5281/zenodo.15013260, 2025. a
Ukil, A., Braendle, H., and Krippner, P.: Distributed Temperature Sensing: Review of Technology and Applications, IEEE Sensors Journal, 12, 885–892, https://doi.org/10.1109/JSEN.2011.2162060, 2012. a
Van de Giesen, N., Steele-Dunne, S. C., Jansen, J., Hoes, O., Hausner, M. B., Tyler, S., and Selker, J.: Double-ended calibration of fiber-optic Raman spectra distributed temperature sensing data, Sensors, 12, 5471–5485, https://doi.org/10.3390/s120505471, 2012. a, b, c
Van Der Linden, S., Kruis, M., Hartogensis, O., Moene, A., Bosveld, F., and Van de Wiel, B.: Heat transfer through grass: a diffusive approach, Boundary-Layer Meteorology, 184, 251–276, https://doi.org/10.1007/s10546-022-00708-7, 2022. a, b
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., and Mons, B.: The Fair Guiding Principles for Scientific Data Management and Stewardship, Scientific Data, 3, https://doi.org/10.1038/sdata.2016.18, 2016. a, b
Zeller, M.-L., Huss, J.-M., Pfister, L., Lapo, K. E., Littmann, D., Schneider, J., Schulz, A., and Thomas, C. K.: The NY-Ålesund TurbulencE Fiber Optic eXperiment (NYTEFOX): investigating the Arctic boundary layer, Svalbard, Earth Syst. Sci. Data, 13, 3439–3452, https://doi.org/10.5194/essd-13-3439-2021, 2021. a, b, c, d
Zhang, Y., Narayanappa, D., Ciais, P., Li, W., Goll, D., Vuichard, N., De Kauwe, M. G., Li, L., and Maignan, F.: Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266), Geosci. Model Dev., 15, 9111–9125, https://doi.org/10.5194/gmd-15-9111-2022, 2022. a
Executive editor
This paper presents a novel method, Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS), to probe temperature profiles at high spatial resolutions. The FRADTS method follows a parametric design approach that is fully aligned with FAIR design principles. It allows for automatic generation of laser cut coil frames to hold the DTS fibers in place at spatial resolutions and accuracies up to the mm scale. The openly accessible script that generates the frames is user-friendly, adaptable and fully reproducible. A wide range of setups can be customized and realized by adjusting input parameters. Additionally, existing setups can be identically reproduced, allowing for exact replication of measurement campaigns.
This paper presents a novel method, Fine Resolution Adaptable Distributed Temperature Sensing...
Short summary
We present the the Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS) method, which allows for mm-resolution probing of vertical temperature profiles, using coil-based distributed temperature sensing. The method is fully open source and parametric, such that unique field setups can be generated and reproduced. The method is extensively tested within a ~10cm grass canopy in a field campaign.
We present the the Fine Resolution Adaptable Distributed Temperature Sensing (FRADTS) method,...
