Articles | Volume 4, issue 1
https://doi.org/10.5194/gi-4-19-2015
https://doi.org/10.5194/gi-4-19-2015
Research article
 | 
02 Feb 2015
Research article |  | 02 Feb 2015

Bed conduction impact on fiber optic distributed temperature sensing water temperature measurements

T. O'Donnell Meininger and J. S. Selker

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Cited articles

Hatch, C. E., Fisher, A. T., Revenaugh, J. S., Constantz, J., and Ruehl, C.: Quantifying surface water–groundwater interactions using time series analysis of streambed thermal records: Method development, Water Resour. Res., 42, W10410, https://doi.org/10.1029/2005WR004787, 2006.
Henderson, R. D., Day-Lewis, F. D., and Harvey, C. F.: Investigation of aquifer-estuary interaction using wavelet analysis of fiber-optic temperature data, Geophys. Res. Lett., 36, L06403, https://doi.org/10.1029/2008GL036926, 2009.
Krause, S., Blume, T., and Cassidy, N. J.: Investigating patterns and controls of groundwater up-welling in a lowland river by combining Fibre-optic Distributed Temperature Sensing with observations of vertical hydraulic gradients, Hydrol. Earth Syst. Sci., 16, 1775–1792, https://doi.org/10.5194/hess-16-1775-2012, 2012.
Lowry, C. S., Walker, J. F., Hunt, R. J., and Anderson, M. P.: Identifying spatial variability of groundwater discharge in a wetland stream using a distributed temperature sensor, Water Resour. Res., 43, W10408, https://doi.org/10.1029/2007WR006145, 2007.
Luce, C. E., Tonina, D., Gariglio, F., and Applebee, R.: Solutions for the diurnally forced advection-diffusion equation to estimate bulk fluid velocity and diffusivity in streambeds from temperature time series, Water Resour. Res., 49, 488–506, https://doi.org/10.1029/2012WR012380, 2013.
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