References
- Berne, A., Uijlenhoet, R., & Troch, P. A. (2005). Similarity analysis of subsurface flow response of hillslopes with complex geometry. Water Resources Research, 41, 1-10. https://doi.org/10.1029/2004WR003629
- Beven, K. (2006). Searching for the Holy Grail of scientific hydrology: Qt=(S, R, Δt)A as closure. Hydrology and Earth System Sciences, 10(5), 609-618. https://doi.org/10.5194/hess-10-609-2006
- Brutsaert, W. (1994). The unit response of groundwater outflow from a hillslope. Water Resources Research, 30(10), 2759-2763. https://doi.org/10.1029/94WR01396
- Brutsaert, W., & Nieber, J. L. (1977). Regionalized drought flow hydrographs from a mature glaciated plateau. Water Resources Research, 13(3), 637-643. https://doi.org/10.1029/WR013i003p00637
- Dooge, J. (1986). Looking for hydrologic laws. Water Resources Research, 22(9S), 46S-58S. http://doi.org/10.1029/WR022i09Sp0046S
- Evaristo, J., Kim, M., van Haren, J., Pangle, L. A., Harman, C. J., Troch, P. A., & McDonnell, J. J. (2019). Characterizing the Fluxes and Age Distribution of Soil Water, Plant Water, and Deep Percolation in a Model Tropical Ecosystem. Water Resources Research, 55(4), 3307-3327. https://doi.org/10.1029/2018WR023265
- Harman, C. J. (2015). Time-variable transit time distributions and transport: Theory and application to storage-dependent transport of chloride in a watershed. Water Resources Research, 51, 1-30. https://doi.org/10.1002/2014WR015707
- Harman, C. J., & Kim, M. (2019). A low-dimensional model of bedrock weathering and lateral flow coevolution in hillslopes: 1. Hydraulic theory of reactive transport. Hydrological Processes, 33(4), 466-475. https://doi.org/10.1002/hyp.13360
- Harman, C. J., & Kim, M. (2014). An efficient tracer test for time-variable transit time distributions in periodic hydrodynamic systems. Geophysical Research Letters, 1567-1575. https://doi.org/10.1002/2013GL058980
- Jachens, E. R., Rupp, D. E., Roques, C., & Selker, J. S. (2020). Recession analysis revisited: Impacts of climate on parameter estimation. Hydrology and Earth System Sciences, 24(3), 1159-1170. https://doi.org/10.5194/hess-24-1159-2020
- Kim, M., Bauser, H. H., Beven, K., & Troch, P. A. (2021a). Hysteretic behavior of flow recession dynamics: Application of machine learning and learning from the machine. Earth and Space Science Open Archive, 29. https://doi.org/10.1002/essoar.10506592.1
- Kim, M., Pangle, L. A., Cardoso, C., Lora, M., Volkmann, T. H. M., Wang, Y., Harman, C. J., & Troch, P. A. (2016). Transit time distributions and StorAge Selection functions in a sloping soil lysimeter with time-varying flow paths: Direct observation of internal and external transport variability. Water Resources Research, 52(9). https://doi.org/10.1002/2016WR018620
- Kim, M., & Troch, P. A. (2020). Transit time distributions estimation exploiting flow-weighted time: Theory and proof-of-concept. Water Resources Research, 56, e2020WR027186. https://doi.org/https://doi.org/10.1029/2020WR027186
- Kim, M., Volkmann, T., Aaron, B., Wang, Y., Neto, A. M., Matos, K., Harman, C., & Troch, P. (2021b). Uncovering the hillslope scale flow and transport dynamics in an experimental hydrologic system. Hydrological Processes, 35(8), e14337. https://doi.org/10.1002/hyp.14337
- Kim, M., Volkmann, T. H. M., Wang, Y., Harman, C. J., & Troch, P. A. (2020). Direct observation of hillslope scale StorAge Selection functions in an experimental hydrologic system: Geomorphologic structure and the preferential discharge of old water. Earth and Space Science Open Archive, 44. https://doi.org/10.1002/essoar.10504485.1
- Kirchner, J. W. (2006). Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology. Water Resources Research, 42(3), 1-5. https://doi.org/10.1029/2005WR004362
- Kirchner, J. W. (2009). Catchments as simple dynamical systems: Catchment characterization, rainfall-runoff modeling, and doing hydrology backward. Water Resources Research, 45(2), 1-34. https://doi.org/10.1029/2008WR006912
- Kirchner, J. W. (2019). Quantifying new water fractions and transit time distributions using ensemble hydrograph separation : theory and benchmark tests. Hydrology and Earth System Sciences, 23, 303-349. https://doi.org/10.5194/hess-23-303-2019
- Klemes, V. (1983). Conceptualization and scale in hydrology. Journal of Hydrology, 65(1-3), 1-23. https://doi.org/10.1016/0022-1694(83)90208-1
- Knighton, J., Souter-Kline, V., Volkmann, T., Troch, P. A., Kim, M., Harman, C. J., Morris, C., Buchanan, B., & Walter, M. T. (2019). Seasonal and Topographic Variations in Ecohydrological Separation Within a Small, Temperate, Snow-Influenced Catchment. Water Resources Research, 55(8), 6417-6435. https://doi.org/10.1029/2019WR025174
- Maher, K. (2011). The role of fluid residence time and topographic scales in determining chemical fluxes from landscapes. Earth and Planetary Sience Letters, 312, 48-58. https://doi.org/10.1016/j.epsl.2011.09.040
- Maxwell, R. M., Kollet, S. J., Smith, S. G., Woodward, C. S., Falgout, R. D., Ferguson, I. M., Engdahl, N., Condon, L. E., Lopez, S. R., Gilbert, J., Bearup, L., Jefferson, J., Prubilik, C., Baldwin, C., Bosl, W. J., Hornung, R., & Ashby, S. (2014). ParFlow User's Manual. International Ground Water Modeling Center Report GWMI.
- McDonnell, J. J., & Beven, K. (2014). Debates - The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph. Water Resources Research, 50, 5342-5350. https://doi.org/10.1002/2013WR015141
- McGuire, K. J., & McDonnell, J. J. (2006). A review and evaluation of catchment transit time modeling. Journal of Hydrology, 330(3-4), 543-563. https://doi.org/10.1016/j.jhydrol.2006.04.020
- Meira Neto, A. A., Kim, M., & Troch, P. A. (2021). Physical interpretation of timevarying StorAge Selection functions in a model hillslope via geophysical imaging of ages of water. Earth and Space Science Open Archive, 47. https://doi.org/10.1002/essoar.10507678.1
- Metzler, H., Muller, M., & Sierra, C. A. (2018). Transit-time and age distributions for nonlinear time-dependent compartmental systems. Proceedings of the National Academy of Sciences, 115(6), 1150-1155. https://doi.org/10.1073/pnas.1705296115
- Pangle, L. A., DeLong, S. B., Abramson, N., Adams, J., Barron-Gafford, G. A., Breshears, D. D., Brooks, P. D., Chorover, J., Dietrich, W. E., Dontsova, K., Durcik, M., Espeleta, J., Ferre, T. P. A., Ferriere, R., Henderson, W., Hunt, E. A., Huxman, T. E., Millar, D., Murphy, B., ... Zeng, X. (2015). The Landscape Evolution Observatory: A large-scale controllable infrastructure to study coupled Earth-surface processes. Geomorphology, 244, 190-203. https://doi.org/10.1016/j.geomorph.2015.01.020
- Pangle, L. A., Kim, M., Cardoso, C., Lora, M., Meira Neto, A. A., Volkmann, T. H. M., Wang, Y., Troch, P. A., & Harman, C. J. (2017). The mechanistic basis for storage-dependent age distributions of water discharged from an experimental hillslope. Water Resources Research, 53, 2733-2754. https://doi.org/10.1002/2016WR019901
- Parker, E. A., Grant, S. B., Cao, Y., Rippy, M. A., McGuire, K. J., Holden, P. A., Feraud, M., Avasarala, S., Liu, H., Hung, W. C., Rugh, M., Jay, J., Peng, J., Shao, S., & Li, D. (2021). Predicting Solute Transport Through Green Stormwater Infrastructure With Unsteady Transit Time Distribution Theory. Water Resources Research, 57(2), e2020WR028579. https://doi.org/10.1029/2020WR028579
- Rinaldo, A., Benettin, P., Harman, C. J., Hrachowitz, M., Mcguire, K. J., Velde, Y. Van Der, Bertuzzo, E., & Botter, G. (2015). Storage selection functions: A coherent framework for quantifying how catchments store and release water and solutes. Water Resourses Research, 51, 1-8. https://doi.org/10.1002/2015WR017273
- Savenije, H. H. G., & Hrachowitz, M. (2017). HESS Opinions "catchments as meta-organisms - A new blueprint for hydrological modelling." Hydrology and Earth System Sciences, 21(2). https://doi.org/10.5194/hess-21-1107-2017
- Sivapalan, M. (2003). Process complexity at hillslope scale, process simplicity at the watershed scale: is there a connection? Hydrological Processes, 17(5), 1037-1041. https://doi.org/10.1002/hyp.5109
- Smith, A. A., Tetzlaff, D., & Soulsby, C. (2018). On the Use of StorAge Selection Functions to Assess Time-Variant Travel Times in Lakes. Water Resources Research, 54(7), 5163-5185. https://doi.org/https://doi.org/10.1029/2017WR021242
- Stewart, M. K., Morgenstern, U., Mcdonnell, J. J., & Pfister, L. (2012). The "hidden streamflow" challenge in catchment hydrology: A call to action for stream water transit time analysis. Hydrological Processes, 26(13), 2061-2066. https://doi.org/10.1002/hyp.9262
- Tashie, A., Pavelsky, T., & Band, L. E. (2020). An Empirical Reevaluation of Streamflow Recession Analysis at the Continental Scale. Water Resources Research, 56(1), 1-18. https://doi.org/10.1029/2019WR025448
- Troch, P. A., Berne, A., Bogaart, P., Harman, C., Hilberts, A. G. J., Lyon, S. W., Paniconi, C., Pauwels, V. R. N., Rupp, D. E., Selker, J. S., Teuling, A. J., Uijlenhoet, R., & Verhoest, N. E. C. (2013). The importance of hydraulic groundwater theory in catchment hydrology: The legacy of Wilfried Brutsaert and Jean-Yves Parlange. Water Resources Research, 49(9), 5099-5116. https://doi.org/10.1002/wrcr.20407
- van der Velde, Y., Heidbuchel, I., Lyon, S. W., Nyberg, L., Rodhe, A., Bishop, K., & Troch, P. a. (2014). Consequences of mixing assumptions for time-variable travel time distributions. Hydrological Processes. https://doi.org/10.1002/hyp.10372
- van der Velde, Y., Torfs, P. J. J. F., van der Zee, S. E. a. T. M., & Uijlenhoet, R. (2012). Quantifying catchment-scale mixing and its effect on time-varying travel time distributions. Water Resources Research, 48(6), W06536. https://doi.org/10.1029/2011WR011310
- Wagener, T., Sivapalan, M., Troch, P., & Woods, R. (2007). Catchment Classification and Hydrologic Similarity. Geography Compass, 1, 1-31. https://doi.org/10.1111/j.1749-8198.2007.00039.x
- Wilusz, D. C., Harman, C. J., Ball, W. P., Maxwell, R. M., & Buda, A. R. (2020). Using Particle Tracking to Understand Flow Paths, Age Distributions, and the Paradoxical Origins of the Inverse Storage Effect in an Experimental Catchment. Water Resources Research, 56(4), e2019WR025140. https://doi.org/10.1029/2019WR025140