Matches in SemOpenAlex for { <https://semopenalex.org/work/W2258898982> ?p ?o ?g. }
- W2258898982 endingPage "215" @default.
- W2258898982 startingPage "207" @default.
- W2258898982 abstract "We present one of the first studies of the use of distributed temperature sensing (DTS) along fibre-optic cables to purposely monitor spatial and temporal variations in ground surface temperature (GST) and soil temperature, and provide an estimate of the heat flux at the base of the canopy layer and in the soil. Our field site was at a groundwater-fed wet meadow in the Netherlands covered by a canopy layer (between 0 and 0.5 m thickness) consisting of grass and sedges. At this site, we ran a single cable across the surface in parallel 40 m sections spaced by 2 m, to create a 40 m × 40 m monitoring field for GST. We also buried a short length (≈10 m) of cable to depth of 0.1 ± 0.02 m to measure soil temperature. We monitored the temperature along the entire cable continuously over a two-day period and captured the diurnal course of GST, and how it was affected by rainfall and canopy structure. The diurnal GST range, as observed by the DTS system, varied between 20.94 and 35.08 °C; precipitation events acted to suppress the range of GST. The spatial distribution of GST correlated with canopy vegetation height during both day and night. Using estimates of thermal inertia, combined with a harmonic analysis of GST and soil temperature, substrate- and soil-heat fluxes were determined. Our observations demonstrate how the use of DTS shows great promise in better characterizing area-average substrate/soil heat flux, their spatiotemporal variability, and how this variability is affected by canopy structure. The DTS system is able to provide a much richer data set than could be obtained from point temperature sensors. Furthermore, substrate heat fluxes derived from GST measurements may be able to provide improved closure of the land surface energy balance in micrometeorological field studies. This will enhance our understanding of how hydrometeorological processes interact with near-surface heat fluxes." @default.
- W2258898982 created "2016-06-24" @default.
- W2258898982 creator A5053280419 @default.
- W2258898982 creator A5064572125 @default.
- W2258898982 creator A5072552795 @default.
- W2258898982 date "2016-04-01" @default.
- W2258898982 modified "2023-10-16" @default.
- W2258898982 title "Using distributed temperature sensing to monitor field scale dynamics of ground surface temperature and related substrate heat flux" @default.
- W2258898982 cites W154341529 @default.
- W2258898982 cites W1556338767 @default.
- W2258898982 cites W1965957765 @default.
- W2258898982 cites W1970624655 @default.
- W2258898982 cites W1980786983 @default.
- W2258898982 cites W2006659392 @default.
- W2258898982 cites W2007997254 @default.
- W2258898982 cites W2011088402 @default.
- W2258898982 cites W2018148834 @default.
- W2258898982 cites W2040881317 @default.
- W2258898982 cites W2073870779 @default.
- W2258898982 cites W2081260488 @default.
- W2258898982 cites W2083846317 @default.
- W2258898982 cites W2105492250 @default.
- W2258898982 cites W2109711869 @default.
- W2258898982 cites W2117927661 @default.
- W2258898982 cites W2119895530 @default.
- W2258898982 cites W2127378674 @default.
- W2258898982 cites W2129896158 @default.
- W2258898982 cites W2130130337 @default.
- W2258898982 cites W2132360832 @default.
- W2258898982 cites W2137820449 @default.
- W2258898982 cites W2143715729 @default.
- W2258898982 cites W2144653885 @default.
- W2258898982 cites W2152416689 @default.
- W2258898982 cites W2153394506 @default.
- W2258898982 cites W2157270489 @default.
- W2258898982 cites W2331698014 @default.
- W2258898982 doi "https://doi.org/10.1016/j.agrformet.2016.01.138" @default.
- W2258898982 hasPublicationYear "2016" @default.
- W2258898982 type Work @default.
- W2258898982 sameAs 2258898982 @default.
- W2258898982 citedByCount "29" @default.
- W2258898982 countsByYear W22588989822017 @default.
- W2258898982 countsByYear W22588989822018 @default.
- W2258898982 countsByYear W22588989822019 @default.
- W2258898982 countsByYear W22588989822020 @default.
- W2258898982 countsByYear W22588989822021 @default.
- W2258898982 countsByYear W22588989822022 @default.
- W2258898982 countsByYear W22588989822023 @default.
- W2258898982 crossrefType "journal-article" @default.
- W2258898982 hasAuthorship W2258898982A5053280419 @default.
- W2258898982 hasAuthorship W2258898982A5064572125 @default.
- W2258898982 hasAuthorship W2258898982A5072552795 @default.
- W2258898982 hasBestOaLocation W22588989821 @default.
- W2258898982 hasConcept C101000010 @default.
- W2258898982 hasConcept C105795698 @default.
- W2258898982 hasConcept C107054158 @default.
- W2258898982 hasConcept C111368507 @default.
- W2258898982 hasConcept C121332964 @default.
- W2258898982 hasConcept C127313418 @default.
- W2258898982 hasConcept C153294291 @default.
- W2258898982 hasConcept C159188206 @default.
- W2258898982 hasConcept C159390177 @default.
- W2258898982 hasConcept C167678106 @default.
- W2258898982 hasConcept C187320778 @default.
- W2258898982 hasConcept C18903297 @default.
- W2258898982 hasConcept C191897082 @default.
- W2258898982 hasConcept C192562407 @default.
- W2258898982 hasConcept C205649164 @default.
- W2258898982 hasConcept C2777016058 @default.
- W2258898982 hasConcept C2777289219 @default.
- W2258898982 hasConcept C33923547 @default.
- W2258898982 hasConcept C39432304 @default.
- W2258898982 hasConcept C50517652 @default.
- W2258898982 hasConcept C62649853 @default.
- W2258898982 hasConcept C63991900 @default.
- W2258898982 hasConcept C68709404 @default.
- W2258898982 hasConcept C76886044 @default.
- W2258898982 hasConcept C86803240 @default.
- W2258898982 hasConcept C91586092 @default.
- W2258898982 hasConcept C94747663 @default.
- W2258898982 hasConcept C97355855 @default.
- W2258898982 hasConceptScore W2258898982C101000010 @default.
- W2258898982 hasConceptScore W2258898982C105795698 @default.
- W2258898982 hasConceptScore W2258898982C107054158 @default.
- W2258898982 hasConceptScore W2258898982C111368507 @default.
- W2258898982 hasConceptScore W2258898982C121332964 @default.
- W2258898982 hasConceptScore W2258898982C127313418 @default.
- W2258898982 hasConceptScore W2258898982C153294291 @default.
- W2258898982 hasConceptScore W2258898982C159188206 @default.
- W2258898982 hasConceptScore W2258898982C159390177 @default.
- W2258898982 hasConceptScore W2258898982C167678106 @default.
- W2258898982 hasConceptScore W2258898982C187320778 @default.
- W2258898982 hasConceptScore W2258898982C18903297 @default.
- W2258898982 hasConceptScore W2258898982C191897082 @default.
- W2258898982 hasConceptScore W2258898982C192562407 @default.
- W2258898982 hasConceptScore W2258898982C205649164 @default.
- W2258898982 hasConceptScore W2258898982C2777016058 @default.
- W2258898982 hasConceptScore W2258898982C2777289219 @default.