Constitution of a catchment virtual observatory for sharing flow and transport models outputs

Predicting hydrological catchment behaviour based on measurable (and preferably widely available) catchment characteristics has been one of the main goals of hydrological modelling. Residence time distributions provide synoptic information about catchment functioning and can be useful metrics to predict their behaviours. Moreover, residence time distributions highlight a wide range of characteristic scales (spatial and temporal) and mixing processes. However, catchment-specific heterogeneity means that the link between residence time distributions and catchment characteristics is complex. Investigating this link for a wide range of catchments could reveal the role of topography, geology, land-use, climate and other factors in controlling catchment hydrology. Meaningful comparison is often challenging given the diversity of data and model structures and formats. To address this need, we are introducing a new virtual platform called Catchment virtual Observatory for Sharing flow and transport models outputs (COnSOrT). The goal of COnSOrT is to promote catchment intercomparison by sharing calibrated model outputs. Compiling commensurable results in COnSOrT will help evaluate model performance, quantify inter-catchment controls on hydrology, and identify research gaps and priorities in catchment science. Researchers interested in sharing or using calibrated model results are invited to participate in the virtual observatory. Participants may test post-processing methods on a wide range of catchment environments to evaluate the generality of their findings.

[1]  P. Troch,et al.  The master transit time distribution of variable flow systems , 2012 .

[2]  J. Tóth.  A Theoretical Analysis of Groundwater Flow in Small Drainage Basins , 1963 .

[3]  D. Allen,et al.  Modeling coupled surface water – Groundwater processes in a small mountainous headwater catchment , 2014 .

[4]  Duncan E. Farrow,et al.  A generalized Damköhler number for classifying material processing in hydrological systems , 2013 .

[5]  B. Scanlon,et al.  Choosing appropriate techniques for quantifying groundwater recharge , 2002 .

[6]  D. Wolock,et al.  Effects of basin size on low‐flow stream chemistry and subsurface contact time in the Neversink River watershed, New York , 1997 .

[7]  Doerthe Tetzlaff,et al.  Inter‐catchment comparison to assess the influence of topography and soils on catchment transit times in a geomorphic province; the Cairngorm mountains, Scotland , 2009 .

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

[9]  Kate Maher,et al.  The role of fluid residence time and topographic scales in determining chemical fluxes from landscapes , 2011 .

[10]  Jeffrey J. McDonnell,et al.  On the relationships between catchment scale and streamwater mean residence time , 2003 .

[11]  E. Todini.  Hydrological catchment modelling: past, present and future , 2007 .

[12]  J. McDonnell,et al.  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 , 2014 .

[13]  William B. Bowden,et al.  Patterns and persistence of hydrologic carbon and nutrient export from collapsing upland permafrost , 2015 .

[14]  H. Laudon,et al.  Aqua Incognita: the unknown headwaters , 2008 .

[15]  Daniel J. Goode,et al.  Direct Simulation of Groundwater Age , 1996 .

[16]  B. Smerdon,et al.  A review of methods for modelling environmental tracers in groundwater: Advantages of tracer concentration simulation , 2014 .

[17]  Andrea Rinaldo,et al.  Modeling chloride transport using travel time distributions at Plynlimon, Wales , 2015 .

[18]  Henk M. Haitjema,et al.  Analytic Element Modeling of Groundwater Flow , 1995 .

[19]  P. Davy,et al.  Is the Dupuit assumption suitable for predicting the groundwater seepage area in hillslopes? , 2014 .

[20]  Lutz Breuer,et al.  Understanding uncertainties when inferring mean transit times of water trough tracer-based lumped-parameter models in Andean tropical montane cloud forest catchments , 2014 .

[21]  Kevin Bishop,et al.  Transit Times for Water in a Small Till Catchment from a Step Shift in the Oxygen 18 Content of the Water Input , 1996 .

[22]  J. McDonnell,et al.  The exponential decline in saturated hydraulic conductivity with depth: a novel method for exploring its effect on water flow paths and transit time distribution , 2016 .

[23]  J. McDonnell,et al.  A review and evaluation of catchment transit time modeling , 2006 .

[24]  Doerthe Tetzlaff,et al.  Conceptualizing catchment processes: simply too complex? , 2008 .

[25]  C. Alewell,et al.  Importance of vegetation, topography and flow paths for water transit times of base flow in alpine headwater catchments , 2013 .

[26]  M. V. Genuchten,et al.  Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone , 2003 .

[27]  Keith Beven,et al.  Modelling everything everywhere: a new approach to decision-making for water management under uncertainty , 2012 .

[28]  Doerthe Tetzlaff,et al.  Catchment processes and heterogeneity at multiple scales—benchmarking observations, conceptualization and prediction , 2010 .

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

[30]  A. Rodhe,et al.  Consequences of mixing assumptions for time‐variable travel time distributions , 2015 .

[31]  Doerthe Tetzlaff,et al.  How does landscape structure influence catchment transit time across different geomorphic provinces? , 2009 .

[32]  Keith Beven,et al.  On virtual observatories and modelled realities (or why discharge must be treated as a virtual variable) , 2012 .

[33]  F. Phillips,et al.  Are we missing the tail (and the tale) of residence time distributions in watersheds? , 2013 .

[34]  P. Goderniaux,et al.  Partitioning a regional groundwater flow system into shallow local and deep regional flow compartments , 2013 .

[35]  L. Hubert‐Moy,et al.  Upscaling Nitrogen Removal Capacity from Local Hotspots to Low Stream Orders’ Drainage Basins , 2015, Ecosystems.

[36]  K. J. McGuirea,et al.  Evaluation of mean residence time in subsurface waters using oxygen-18 fluctuations during drought conditions in the mid-Appalachians , 2002 .

[37]  M. Sivapalan.  Prediction in ungauged basins: a grand challenge for theoretical hydrology , 2003 .

[38]  C. Luce.  Runoff Prediction in Ungauged Basins: Synthesis Across Processes, Places and Scales , 2014 .

[39]  Doerthe Tetzlaff,et al.  Connectivity between landscapes and riverscapes—a unifying theme in integrating hydrology and ecology in catchment science? , 2007 .

[40]  J. Dreuzy,et al.  Inferring transit time distributions from atmospheric tracer data: Assessment of the predictive capacities of Lumped Parameter Models on a 3D crystalline aquifer model , 2014 .

[41]  J. Böhlke,et al.  Comparison of particle-tracking and lumped-parameter age-distribution models for evaluating vulnerability of production wells to contamination , 2012, Hydrogeology Journal.

[42]  Thomas C. Winter,et al.  Relation of streams, lakes, and wetlands to groundwater flow systems , 1999 .

[43]  J. McDonnell,et al.  A decade of Predictions in Ungauged Basins (PUB)—a review , 2013 .

[44]  Wayne T. Swank,et al.  Forest Hydrology and Ecology at Coweeta , 1988, Ecological Studies.

[45]  Timothy R. Ginn,et al.  On the distribution of multicomponent mixtures over generalized exposure time in subsurface flow and reactive transport: Foundations, and formulations for groundwater age, chemical heterogeneity, and biodegradation , 1999 .

[46]  A. Hartley,et al.  Linking metrics of hydrological function and transit times to landscape controls in a heterogeneous mesoscale catchment , 2012 .

[47]  G. Likens.  The Hubbard Brook Ecosystem Study: Celebrating 50 Years , 2013 .

[48]  Ciaran J. Harman,et al.  Time‐variable transit time distributions and transport: Theory and application to storage‐dependent transport of chloride in a watershed , 2015 .

[49]  R. Uijlenhoet,et al.  Quantifying catchment‐scale mixing and its effect on time‐varying travel time distributions , 2012 .

[50]  R. Allan Freeze,et al.  Theoretical analysis of regional groundwater flow: 2. Effect of water‐table configuration and subsurface permeability variation , 1967 .

[51]  Mcd.  A combined tracer-hydrometric approach to assess the effect of catchment scale on water flow path , source and age , 2010 .

[52]  E. O'Loughlin,et al.  Saturation regions in catchments and their relations to soil and topographic properties , 1981 .

[53]  K. Schilling,et al.  How paired is paired? Comparing nitrate concentrations in three iowa drainage districts. , 2013, Journal of environmental quality.

[54]  B. Ladouche,et al.  Isotope hydrological study of mean transit time in the granitic Strengbach catchment (Vosges massif, France): application of the FlowPC model with modified input function , 2006 .

[55]  S. Frei,et al.  Exposure times rather than residence times control redox transformation efficiencies in riparian wetlands , 2016 .

[56]  Jacques Baudry,et al.  Proximate and ultimate controls on carbon and nutrient dynamics of small agricultural catchments , 2015 .

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

[58]  C. Birkel,et al.  Modelling catchment‐scale water storage dynamics: reconciling dynamic storage with tracer‐inferred passive storage , 2011 .

[59]  H. Haitjema,et al.  Are Water Tables a Subdued Replica of the Topography? , 2005, Ground water.

[60]  Doerthe Tetzlaff,et al.  Regionalization of transit time estimates in montane catchments by integrating landscape controls , 2009 .

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

[62]  James M. Buttle,et al.  Fundamentals of Small Catchment Hydrology , 1998 .

[63]  M. Hrachowitz,et al.  Sensitivity of mean transit time estimates to model conditioning and data availability , 2011 .

[64]  J. Tóth,et al.  A theory of groundwater motion in small drainage basins in central Alberta, Canada , 1962 .

[65]  S. Ge,et al.  Effect of exponential decay in hydraulic conductivity with depth on regional groundwater flow , 2009 .

[66]  M. Cardenas,et al.  Groundwater flow, transport, and residence times through topography‐driven basins with exponentially decreasing permeability and porosity , 2010 .

[67]  S. Waldron,et al.  Earth System , 2005 .

[68]  Keith Beven,et al.  The role of bedrock topography on subsurface storm flow , 2002 .

[69]  W. Gburek,et al.  Patterns of contaminant transport in a layered fractured aquifer , 1999 .

[70]  Markus Weiler,et al.  Integrated response and transit time distributions of watersheds by combining hydrograph separation and long-term transit time modeling , 2010 .

[71]  M. Sophocleous.  Interactions between groundwater and surface water: the state of the science , 2002 .

[72]  S. Dunn,et al.  High‐frequency storm event isotope sampling reveals time‐variant transit time distributions and influence of diurnal cycles , 2012 .

[73]  D. Tetzlaff,et al.  Towards simple approaches for mean residence time estimation in ungauged basins using tracers and soil distributions , 2008 .

[74]  I. Simmers,et al.  Groundwater recharge: an overview of processes and challenges , 2002 .

[75]  M. Sivapalan,et al.  Nitrate attenuation in agricultural catchments: Shifting balances between transport and reaction , 2006 .

[76]  D. Montgomery,et al.  Source areas, drainage density, and channel initiation , 1989 .

[77]  M. Cardenas.  Potential contribution of topography‐driven regional groundwater flow to fractal stream chemistry: Residence time distribution analysis of Tóth flow , 2007 .

[78]  M. Voltz,et al.  Estimating the role of a ditch network in groundwater recharge in a Mediterranean catchment using a water balance approach , 2009 .

[79]  Doerthe Tetzlaff,et al.  Gamma distribution models for transit time estimation in catchments: Physical interpretation of parameters and implications for time‐variant transit time assessment , 2010 .

[80]  Jeremy B. Jones,et al.  Nitrogen loss from watersheds of interior Alaska underlain with discontinuous permafrost , 2005 .

[81]  Martin Berggren,et al.  Patterns and Dynamics of Dissolved Organic Carbon (DOC) in Boreal Streams: The Role of Processes, Connectivity, and Scaling , 2011, Ecosystems.

[82]  W. Gburek,et al.  Evaluation of mean residence time in subsurface waters using oxygen-18 fluctuations during drought conditions in the mid-Appalachians , 2002 .

[83]  L. Aquilina,et al.  Contribution of age data to the characterization of complex aquifers , 2012 .

[84]  Tomas Vitvar,et al.  Estimation of mean water residence times and runoff generation by180 measurements in a Pre-Alpine catchment (Rietholzbach, Eastern Switzerland) , 1997 .

[85]  L. Aquilina,et al.  Coupling 3D groundwater modeling with CFC-based age dating to classify local groundwater circulation in an unconfined crystalline aquifer , 2016 .

[86]  J. Welker,et al.  The role of topography on catchment‐scale water residence time , 2005 .

[87]  J. Downing,et al.  Plumbing the Global Carbon Cycle: Integrating Inland Waters into the Terrestrial Carbon Budget , 2007, Ecosystems.

[88]  G. Likens,et al.  An Ecological Study. (Book Reviews: Pattern and Process in a Forested Ecosystem. Disturbance, Development and the Steady State Based on the Hubbard Brook Ecosystem Study) , 1981 .

[89]  M. Weiler,et al.  Reevaluation of transit time distributions, mean transit times and their relation to catchment topography , 2014 .

[90]  B. Moldan,et al.  Biogeochemistry of small catchments : a tool for environmental research , 1994 .

[91]  H. Laudon,et al.  The Krycklan Catchment Study—A flagship infrastructure for hydrology, biogeochemistry, and climate research in the boreal landscape , 2013 .

[92]  Doerthe Tetzlaff,et al.  Catchment‐scale estimates of flow path partitioning and water storage based on transit time and runoff modelling , 2011 .

[93]  Doerthe Tetzlaff,et al.  Generality of fractal 1/f scaling in catchment tracer time series, and its implications for catchment travel time distributions , 2010 .

[94]  H. Laudon,et al.  Nitrogen export from a boreal stream network following forest harvesting: seasonal nitrate removal and conservative export of organic forms , 2015 .

[95]  Doerthe Tetzlaff,et al.  Transit time distributions of a conceptual model: their characteristics and sensitivities , 2010 .

[96]  L. Hinzman,et al.  Towards improved parameterization of a macroscale hydrologic model in a discontinuous permafrost boreal forest ecosystem , 2013 .