Supporting Information Appendix S1 Fiber-optic Distributed Temperature Sensing (DTS) has been widely applied in various hydrologic fields to measure the thermal variations of streams (Selker et al. 2006b; Westhoff et al. 2007; Briggs et al. 2011; Krause et al. 2012; Henderson et al. 2009; Vogt et al. 2010), wetlands (Lowry et al. 2007), saltmarsh channels (Moffett et al. 2008), soils (Steele-Dunne et al. 2010; Sayde et al. 2010; Selker et al. 2010), and lakes (Selker et al. 2006a, Suarez et al. 2011, Sebok et al. 2013). Figure S1. DTS measured streambed temperature distribution over a 500m river channel in the Heihe River Basin (inset). At most locations (horizontal axis), the temperature fluctuated throughout the day and night with the air temperature (vertical axis). However, about 50m and 150m from the start of the measurement point, stream water showed consistently low temperature, indicating discharge of colder groundwater into warmer stream water (after Huang et al. 2012). References Briggs, M. A., L. K. Lautz, and J. M. McKenzie. 2011. A comparison of fibre-optic distributed temperature sensing to traditional methods of evaluating groundwater inflow to streams, Hydrol. Processes, 25, 1277–1290, doi:10.1002/hyp.8200. Buck, C. R. and S. E. Null. 2013. Modeling insights from distributed temperature sensing data, Hydrol. Earth Syst. Sci. Discuss., 10, 9999-10034, doi:10.5194/hessd-10-9999-2013. Henderson, R. D., F. D. Day-Lewis, C. F. Harvey. 2009. Investigation of aquifer-estuary interaction using wavelet analysis of fiber-optic temperature data. Geophys. Res. Lett., 36(6). Huang, L., C. Zheng, J. Liu, and H. Xiao. 2012. Application of distributed temperature sensing to study groundwater-surface water interactions in the Heihe river basin. Hydrogeology and Engineering Geology, 39(2) (in Chinese). Krause, S., T. Blume, and N. J. Cassidy. 2012. Investigating patterns and controls of groundwater up-welling in a lowland river by combining fiber-optic Distributed Temperature Sensing with observations of vertical hydraulic gradients, Hydrol. Earth Syst. Sci., 16, 1775–1792, doi:10.5194/hess-16–1775-2012. Lowry, C. S., J. F.Walker, R. J. Hunt, and M. P. Anderson. 2007. Identifying spatial variability of groundwater discharge in a wetland stream using a distributed temperature sensor, Water Resour. Res., 43, W10408, doi:10.1029/2007WR006145. Moffett, K. B., S. W. Tyler, T. Torgersen, M. Menon, J. S. Selker, and S.M. Gorelick. 2008. Processes controlling the thermal regime of saltmarsh channel beds, Environ. Sci. Technol., 42(3), 671–676. Sayde, C., C. Gregory, M. Gil‐Rodriguez, N. Tufillaro, S. Tyler, N. van de Giesen, M. English, R. Cuenca, and J. S. Selker. 2010. Feasibility of soil moisture monitoring with heated fiber optics, Water Resour. Res., 46, W06201, doi:10.1029/2009WR007846. Sebok E, C. Duque, J. Kazmierczak, P. Engesgaard, B. Nilsson, S. Karan, and M. Frandsen. 2013. High-resolution distributed temperature sensing to detect seasonal groundwater discharge into Lake Væng, Denmark. Water Resour. Res., 49(6). doi:10.1002/wrcr.20436. Selker J, J. Thévenaz, H. Huwald, A. Mallet, W. Luxemburg, N. Giesen, M. Stejskal, J. Zeman, M. Westhoff, M. Parlange. 2006a. Distributed fiber‐optic temperature sensing for hydrologic systems. Water Resour. Res., 42(12). doi: 10.1029/2006WR005326. Selker J, N. Giesen, M. Westhoff, W. Luxemburg, M. Parlange. 2006b. Fiber optics opens window on stream dynamics. Geophys. Res. Lett., 33, L24401, doi:10.1029/2006GL027979. Selker, T. A. Bogaard, and N. C. van de Giesen. 2010. Feasibility of soil moisture estimation using passive distributed temperature sensing, Water Resour. Res., 46, W03534, doi:10.1029/2009WR008272. Steele-Dunne, S. C., Rutten, M. M., Krzeminska, D. M., Hausner, M., Tyler, S. W., Selker, J., Bogaard, T. A., and N. C. V. de Giesen, 2010. Feasibility of soil moisture estimation using passive distributed temperature sensing, Water Resour. Res., 46, W03534, doi:10.1029/2009WR008272. Suarez, F., J. E. Aravena, M. B. Hausner, A. E. Childress, and S. W. Tyler, 2011. Assessment of a vertical high-resolution distributed-temperature-sensing system in a shallow thermohaline environment, Hydrol. Earth Syst. Sci., 15, 1081-1093, doi:10.5194/hess-15-1081-2011. Vogt, T, P. Schneider, L. Hahn-Woernle, O.A. Cirpkab. 2010. Estimation of seepage rates in a losing stream by means of fiber-optic high-resolution vertical temperature profiling. J. Hydrol., 380(1-2): 154-164. Westhoff, M. C., H. H. G. Savenije, W. M. J. Luxemburg, G. S. Stelling, N.C. van Giesen, J. S. Selker, L. Pfister, and S. Uhlenbrook. 2007. A distributed stream temperature model using high resolution temperature observations, Hydrol. Earth Syst. Sci., 11, 1469–1480. doi:10.5194/hess-11-1469-2007.