Detecting nighttime inversions in the interior of a Douglas fir canopy [* Cross-Reference *]

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Schilperoort, Bart; Coenders-Gerrits, Miriam; Rodríguez, César Jiménez; van Hooft, Antoon; Wiel, Bas van de; Savenije, Hubert, 2022, "Detecting nighttime inversions in the interior of a Douglas fir canopy [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.E0NSRK, LIST Open Repository, V1

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Description	Despite the importance of forests in the water and carbon cycles, accurately measuring their contribution remains challenging, especially at night. During clear-sky nights current models and theories fail, as non-turbulent flows and spatial heterogeneity become more important. One of the standing issues is the ‘decoupling’ of the air masses in and above the canopy, where little turbulent exchange takes place, thus preventing proper measurement of atmospheric fluxes. Temperature inversions, where lower air is colder and thus more dense, can be both the cause and result of this decoupling. With Distributed Temperature Sensing (DTS) it is now possible to detect these temperature inversions, and increase our understanding of the decoupling mechanism. With DTS we detected strong inversions within the canopy of a tall Douglas Fir stand. The inversions formed in on clear-sky nights with low turbulence, and preferentially formed in the open understory. A second inversion regularly occurred above the canopy. Oscillations in this upper inversion transferred vertically through the canopy and induced oscillations in the lower inversion. We hypothesize that the inversions could form due to a local suppression of turbulent motions along the height of the canopy. This was supported by a 1-D conceptual model, which showed that a local inversion layer would always form within the canopy if the bulk inversion (over the full canopy) was strong enough. Due to the near-continuous vertical motion and specific height the inversions occur at, a very high measurement density (better than ∼2 m) and measurement frequency (>0.1 Hz) are required to detect them. Consequently, it could be possible that the observed inversions are a regular feature in similarly structured forests, but are generally not directly observed. With DTS it is possible to detect and describe these types of features, which will aid in improving our understanding of atmospheric flows over complex terrain such as forests. (2022-06-15) *This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1016/j.agrformet.2022.108960 for the original and latest version of the dataset and data downloads* (2026-06-11)
Subject	Earth and Environmental Sciences
Keyword	atmospheric stability, canopy, decoupling, distributed temperature sensing, temperature inversion, temperature profile
License/Data Use Agreement	Custom Dataset Terms


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Persistent Identifier	perma:LIST.E0NSRK
Publication Date	2026-07-06
Title	Detecting nighttime inversions in the interior of a Douglas fir canopy [* Cross-Reference *]
Other Identifier	https://doi.org/10.1016/j.agrformet.2022.108960 SCOPUS_ID:85129695554
Author	(Department of Water Management, TU Delft)0000-0003-4487-9822 (Department of Water Management, TU Delft)0000-0002-7340-4685 (Department of Water Management, TU Delft, Luxembourg Institute of Science and Technology)0000-0002-6339-5981 van Hooft, Antoon (Department of Geoscience & Remote Sensing, TU Delft) Wiel, Bas van de (Department of Geoscience & Remote Sensing, TU Delft) Savenije, Hubert (Department of Water Management, TU Delft)
Point of Contact	Use email button above to contact. LIST RDS (LIST)
Description	Despite the importance of forests in the water and carbon cycles, accurately measuring their contribution remains challenging, especially at night. During clear-sky nights current models and theories fail, as non-turbulent flows and spatial heterogeneity become more important. One of the standing issues is the ‘decoupling’ of the air masses in and above the canopy, where little turbulent exchange takes place, thus preventing proper measurement of atmospheric fluxes. Temperature inversions, where lower air is colder and thus more dense, can be both the cause and result of this decoupling. With Distributed Temperature Sensing (DTS) it is now possible to detect these temperature inversions, and increase our understanding of the decoupling mechanism. With DTS we detected strong inversions within the canopy of a tall Douglas Fir stand. The inversions formed in on clear-sky nights with low turbulence, and preferentially formed in the open understory. A second inversion regularly occurred above the canopy. Oscillations in this upper inversion transferred vertically through the canopy and induced oscillations in the lower inversion. We hypothesize that the inversions could form due to a local suppression of turbulent motions along the height of the canopy. This was supported by a 1-D conceptual model, which showed that a local inversion layer would always form within the canopy if the bulk inversion (over the full canopy) was strong enough. Due to the near-continuous vertical motion and specific height the inversions occur at, a very high measurement density (better than ∼2 m) and measurement frequency (>0.1 Hz) are required to detect them. Consequently, it could be possible that the observed inversions are a regular feature in similarly structured forests, but are generally not directly observed. With DTS it is possible to detect and describe these types of features, which will aid in improving our understanding of atmospheric flows over complex terrain such as forests. (2022-06-15) *This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1016/j.agrformet.2022.108960 for the original and latest version of the dataset and data downloads* (2026-06-11)
Subject	Earth and Environmental Sciences
Keyword	atmospheric stability canopy decoupling distributed temperature sensing temperature inversion temperature profile
Funding Information	Nederlandse Organisatie voor Wetenschappelijk Onderzoek: 863.15.022
Deposit Date	2022-06-15
Data Type	Article
Data Source	Agricultural and Forest Meteorology; ISSN: 01681923, vol. 321, art. no. 108960

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