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

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

[1]  R. Hawkins,et al.  FLOW PATH OF RAIN FROM THE SOIL SURFACE TO THE WATER TABLE , 1965 .

[2]  John D. Hewlett,et al.  Non-Point and Diffused Water Sources: A Variable Source Area Problem , 1975 .

[3]  J. Martinec,et al.  Subsurface flow from snowmelt traced by tritium , 1975 .

[4]  M. Mosley Streamflow generation in a forested watershed, New Zealand , 1979 .

[5]  K. Beven Kinematic subsurface stormflow , 1981 .

[6]  M. P. Mosley,et al.  Subsurface flow velocities through selected forest soils, South Island, New Zealand , 1982 .

[7]  K. Beven,et al.  Macropores and water flow in soils , 1982 .

[8]  A. Pearce,et al.  Storm runoff generation in humid headwater catchments 1 , 1986 .

[9]  Andrew J. Pearce,et al.  Storm Runoff generation in humid headwater catchments 2. A case study of hillslope and low-order stream response , 1986 .

[10]  M. Kavvas,et al.  A modified diffusion equation for flood propagation in trapezoidal channels , 1986 .

[11]  Richard P. Hooper,et al.  Assessing the Birkenes Model of stream acidification using a multisignal calibration methodology , 1988 .

[12]  Jeffrey J. McDonnell,et al.  A rationale for old water discharge through macropores in a steep, humid catchment. , 1990 .

[13]  J. McDonnell,et al.  Hydrograph Separation Using Continuous Open System Isotope Mixing , 1995 .

[14]  Keith Beven,et al.  Use of spatially distributed water table observations to constrain uncertainty in a rainfall–runoff model , 1998 .

[15]  K. Beven,et al.  On constraining the predictions of a distributed model: The incorporation of fuzzy estimates of saturated areas into the calibration process , 1998 .

[16]  S. P. Anderson,et al.  Unsaturated zone processes and the hydrologic response of a steep, unchanneled catchment , 1998 .

[17]  K. Bevenb,et al.  Use of spatially distributed water table observations to constrain uncertainty in a rainfall – runoff model , 1998 .

[18]  J. Kirchner,et al.  Fractal stream chemistry and its implications for contaminant transport in catchments , 2000, Nature.

[19]  Todd C. Rasmussen,et al.  Tracer vs. pressure wave velocities through unsaturated saprolite , 2000 .

[20]  J. Kirchner,et al.  Catchment-scale advection and dispersion as a mechanism for fractal scaling in stream tracer concentrations , 2001 .

[21]  Brian L. McGlynn,et al.  A review of the evolving perceptual model of hillslope flowpaths at the Maimai catchments, New Zealand , 2002 .

[22]  Keith Beven,et al.  Testing the distributed water table predictions of TOPMODEL (allowing for uncertainty in model calibration): The death of TOPMODEL? , 2002 .

[23]  Jeffrey J. McDonnell,et al.  On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration , 2002 .

[24]  Peter Singer,et al.  One world , 2002 .

[25]  Kevin Bishop,et al.  Simulating interactions between saturated and unsaturated storage in a conceptual runoff model , 2003 .

[26]  J. Kirchner A double paradox in catchment hydrology and geochemistry , 2003 .

[27]  J. McDonnell,et al.  Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures , 2004 .

[28]  Kevin Bishop,et al.  Resolving the Double Paradox of rapidly mobilized old water with highly variable responses in runoff chemistry , 2004 .

[29]  Kellie B. Vaché,et al.  On the use of multiple criteria for a posteriori model rejection: Soft data to characterize model performance , 2004 .

[30]  Keith Beven,et al.  Robert E. Horton and abrupt rises of ground water , 2004 .

[31]  Keith Beven,et al.  Data‐based modelling of runoff and chemical tracer concentrations in the Haute‐Mentue research catchment (Switzerland) , 2005 .

[32]  Ann Louise Heathwaite,et al.  Inadmissible evidence: knowledge and prediction in land and riverscapes , 2005 .

[33]  Philip Jordan,et al.  High-resolution phosphorus transfers at the catchment scale: the hidden importance of non-storm transfers , 2005 .

[34]  J. Kirchner Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology , 2006 .

[35]  Kellie B. Vaché,et al.  A process‐based rejectionist framework for evaluating catchment runoff model structure , 2006 .

[36]  Keith Beven,et al.  A manifesto for the equifinality thesis , 2006 .

[37]  Keith Beven,et al.  Searching for the Holy Grail of scientific hydrology: Q t =( S, R, Δt ) A as closure , 2006 .

[38]  Gregory E Schwarz,et al.  The Role of Headwater Streams in Downstream Water Quality1 , 2007, Journal of the American Water Resources Association.

[39]  Keith Beven,et al.  Modelling the Chloride Signal at the Plynlimon Catchments, Wales Using a Modified Dynamic TOPMODEL. , 2007 .

[40]  A. Musy,et al.  Flow, mixing, and displacement in using a data‐based hydrochemical model to predict conservative tracer data , 2007 .

[41]  Keith Beven,et al.  Modelling the chloride signal at Plynlimon, Wales, using a modified dynamic TOPMODEL incorporating conservative chemical mixing (with uncertainty) , 2007 .

[42]  Markus Weiler,et al.  Conceptualizing lateral preferential flow and flow networks and simulating the effects on gauged and ungauged hillslopes , 2007 .

[43]  In Sopper Factors affecting the response of small watersheds to precipitation in humid areas , 2009 .

[44]  Jeffrey J. McDonnell,et al.  High‐frequency field‐deployable isotope analyzer for hydrological applications , 2009 .

[45]  Doerthe Tetzlaff,et al.  Towards a simple dynamic process conceptualization in rainfall–runoff models using multi-criteria calibration and tracers in temperate, upland catchments , 2009 .

[46]  Jeffrey J. McDonnell,et al.  A new time‐space accounting scheme to predict stream water residence time and hydrograph source components at the watershed scale , 2009 .

[47]  Keith Beven,et al.  Gauging the ungauged basin: how many discharge measurements are needed? , 2009 .

[48]  Keith Beven,et al.  How old is streamwater? Open questions in catchment transit time conceptualization, modelling and analysis , 2010 .

[49]  Dmitri Kavetski,et al.  Assessing the impact of mixing assumptions on the estimation of streamwater mean residence time , 2010 .

[50]  Doerthe Tetzlaff,et al.  Using time domain and geographic source tracers to conceptualize streamflow generation processes in lumped rainfall‐runoff models , 2011 .

[51]  Keith Beven,et al.  A discrete particle representation of hillslope hydrology: hypothesis testing in reproducing a tracer experiment at Gårdsjön, Sweden , 2011 .

[52]  Keith Beven,et al.  On the colour and spin of epistemic error (and what we might do about it) , 2011 .

[53]  Keith Beven,et al.  On red herrings and real herrings: disinformation and information in hydrological inference , 2011 .

[54]  Dmitri Kavetski,et al.  Pursuing the method of multiple working hypotheses for hydrological modeling , 2011 .

[55]  Keith Beven,et al.  Catchment travel time distributions and water flow in soils , 2011 .

[56]  Rachel Cassidy,et al.  Limitations of instantaneous water quality sampling in surface-water catchments: Comparison with near-continuous phosphorus time-series data , 2011 .

[57]  Heather Wickham,et al.  High-frequency water quality time series in precipitation and streamflow: from fragmentary signals to scientific challenge. , 2012, The Science of the total environment.

[58]  J. Freer,et al.  Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality , 2012 .

[59]  Keith Beven,et al.  Causal models as multiple working hypotheses about environmental processes , 2012 .

[60]  Keith Beven,et al.  Comment on “Pursuing the method of multiple working hypotheses for hydrological modeling” by P. Clark et al. , 2012 .

[61]  Doerthe Tetzlaff,et al.  What can flux tracking teach us about water age distribution patterns and their temporal dynamics , 2012 .

[62]  Keith Beven,et al.  A guide to good practice in modeling semantics for authors and referees , 2013 .

[63]  Keith Beven,et al.  Macropores and water flow in soils revisited , 2013 .

[64]  Chong-Yu Xu,et al.  Disinformative data in large-scale hydrological modelling , 2013 .

[65]  Jeffrey J. McDonnell,et al.  Are all runoff processes the same? , 2013 .

[66]  K. Beven,et al.  Integrated modeling of flow and residence times at the catchment scale with multiple interacting pathways , 2013 .

[67]  J. McDonnell,et al.  A new multisource and high‐frequency approach to measuring δ2H and δ18O in hydrological field studies , 2013 .

[68]  Jeffrey J. McDonnell,et al.  Hydrograph separation using stable isotopes: Review and evaluation , 2013 .

[69]  Keith Beven,et al.  Concepts of Information Content and Likelihood in Parameter Calibration for Hydrological Simulation Models , 2014 .

[70]  Hoshin Vijai Gupta,et al.  Debates—the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science , 2014 .

[71]  Upmanu Lall Debates—The future of hydrological sciences: A (common) path forward? One water. One world. Many climes. Many souls , 2014 .