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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/gi-2018-8
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
23 Mar 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Instrumentation, Methods and Data Systems (GI).
Links between annual surface temperature variation and land cover heterogeneity for a boreal forest as characterized by continuous, fibre-optic DTS monitoring
Kazuyuki Saito1,2, Go Iwahana2, Hiroki Ikawa3, Hirohiko Nagano2,4, and Robert Busey2 1Japan Agency for Marine-Earth Science and Technology, Yokohama, 236-0001, Japan
2International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, Alaska 99775, U.S.A.
3National Institute for Agro-Environmental Sciences, Tsukuba, 305-8604, Japan
4Japan Atomic Energy Agency, Tokai, 319-1195, Japan
Abstract. A fibre-optic DTS (distributed temperature sensing) system using Raman-scattering optical time domain reflectometry was deployed to monitor a boreal forest research site in the interior of Alaska. Surface temperatures range between −40 ºC in winter to 30 ºC in summer at this site. In parallel experiments, a fibre-optic cable sensor system (multi-mode, GI50/125, dual core; 3.4 mm) monitored at high-resolution (0.5-metre intervals every 30 minutes) ground surface across the landscape and, at several points a high resolution vertical profile from the upper subsurface to a meter above. The total cable ran 2.7 km with about 2.0 km monitoring a horizontal surface path. Sections of the cable sensor were deployed in vertical coil configurations (1.2 m high) to measure vertical temperature profiles from the ground up at 5-mm intervals. Measurements were collected continuously over a two year interval from October, 2012 to October, 2014. Vegetation of the overall site (Poker Flat Research Range) consists primarily of black spruce underlain by permafrost. Land cover types within the study area were classified into six descriptive categories: relict thermokarst lake, open moss, shrub, deciduous forest, sparse conifer forest, and dense conifer forest. The horizontal temperature data exhibited spatio-temporal patterns within the observed diurnal and seasonal variation. Differences in snow pack evolution and insulation effects co-varied with the land cover types. The apparatus used to monitor vertical temperature profiles generated high-resolution (c. 5 mm) data for air column, snow cover, and ground surface. This research also identified several technical challenges of deploying and maintaining a DTS system in sub-arctic environments.
Citation: Saito, K., Iwahana, G., Ikawa, H., Nagano, H., and Busey, R.: 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. Discuss., https://doi.org/10.5194/gi-2018-8, in review, 2018.
Kazuyuki Saito et al.
Kazuyuki Saito et al.
Kazuyuki Saito et al.

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Short summary
A fibre-optic cable was used as a temperature sensor. A 2.7-km cable was installed at a boreal forest underlain by permafrost in the interior of Alaska, whose air temperature ranges between −40 ºC in winter to 30 ºC in summer, to monitor the daily and seasonal temperature changes at surface and ground for two years. Temperature was measured at 0.5-metre intervals every 30 minutes. This instrumentation could illustrate characteristics of temperature variations, as well as snow pack dynamics.
A fibre-optic cable was used as a temperature sensor. A 2.7-km cable was installed at a boreal...
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