Improving the theoretical underpinnings of process-based hydrologic models
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Martyn P. Clark | Jeffrey R. Arnold | Jim Freer | Bettina Schaefli | Bettina Schaefli | Stanislaus J. Schymanski | Luis Samaniego | Charles H. Luce | Bethanna Jackson | R. Dan Moore | Erkan Istanbulluoglu | Serena Ceola
[1] S. Schymanski,et al. An optimality-based model of the coupled soil moisture and root dynamics , 2008 .
[2] R. Dickinson,et al. The Representation of Snow in Land Surface Schemes: Results from PILPS 2(d) , 2001 .
[3] Hubert H. G. Savenije,et al. A framework to assess the realism of model structures using hydrological signatures , 2012 .
[4] Keith Beven,et al. TOPMODEL : a critique. , 1997 .
[5] Julien Lerat,et al. Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments , 2012 .
[6] Jeffrey J. McDonnell,et al. On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration , 2002 .
[7] John W. Pomeroy,et al. Storage dynamics simulations in prairie wetland hydrology models: evaluation and parameterization , 2013 .
[8] D. Pury,et al. Simple scaling of photosynthesis from leaves to canopies without the errors of big‐leaf models , 1997 .
[9] T. C. Chamberlin. The Method of Multiple Working Hypotheses , 1931, The Journal of Geology.
[10] E. Wood,et al. Little change in global drought over the past 60 years , 2012, Nature.
[11] Regine Hock,et al. Temperature index melt modelling in mountain areas , 2003 .
[12] J. Kirchner. Getting the right answers for the right reasons: Linking measurements, analyses, and models to advance the science of hydrology , 2006 .
[13] Enrico Bertuzzo,et al. Hydrologic controls on basin‐scale distribution of benthic invertebrates , 2014 .
[14] Keith Beven,et al. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system , 2002 .
[15] Jeffrey J. McDonnell,et al. Threshold relations in subsurface stormflow: 2. The fill and spill hypothesis , 2006 .
[16] Steven T. Corneliussen Steven T. Corneliussen. Should scientists think harder about explaining the concept “theory”? , 2015 .
[17] K. Beven. Rainfall-Runoff Modelling: The Primer , 2012 .
[18] Kenneth W. Harrison,et al. Land surface Verification Toolkit (LVT) – a generalized framework for land surface model evaluation , 2012 .
[19] R. J. Granger,et al. Storage dynamics and streamflow in a catchment with a variable contributing area , 2009 .
[20] S. Schymanski,et al. An optimality‐based model of the dynamic feedbacks between natural vegetation and the water balance , 2009 .
[21] Eric F. Wood,et al. A land-surface hydrology parameterization with subgrid variability for general circulation models , 1992 .
[22] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .
[23] Dmitri Kavetski,et al. A unified approach for process‐based hydrologic modeling: 2. Model implementation and case studies , 2015 .
[24] 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 .
[25] Yuqiong Liu,et al. Reconciling theory with observations: elements of a diagnostic approach to model evaluation , 2008 .
[26] R. Koster,et al. Modeling the land surface boundary in climate models as a composite of independent vegetation stands , 1992 .
[27] Erwin Zehe,et al. HESS Opinions: Functional units: a novel framework to explore the link between spatial organization and hydrological functioning of intermediate scale catchments , 2014 .
[28] B. McGlynn,et al. Hierarchical controls on runoff generation: Topographically driven hydrologic connectivity, geology, and vegetation , 2011 .
[29] Dmitri Kavetski,et al. Reply to comment by K. Beven et al. on “Pursuing the method of multiple working hypotheses for hydrological modeling” , 2012 .
[30] J. Jacobs. Ecohydrology: Darwinian Expression of Vegetation Form and Function , 2003 .
[31] D. Lawrence,et al. Improving the representation of hydrologic processes in Earth System Models , 2015 .
[32] Keith Beven,et al. A dynamic TOPMODEL , 2001 .
[33] Günter Blöschl,et al. Hydrologic synthesis: Across processes, places, and scales , 2006 .
[34] Pablo A. Mendoza,et al. Implications of the Methodological Choices for Hydrologic Portrayals of Climate Change over the Contiguous United States: Statistically Downscaled Forcing Data and Hydrologic Models , 2016 .
[35] H. Kyburg,et al. How the laws of physics lie , 1984 .
[36] Dmitri Kavetski,et al. Catchment properties, function, and conceptual model representation: is there a correspondence? , 2014 .
[37] John Wainwright,et al. Sediment connectivity: a framework for understanding sediment transfer at multiple scales , 2015 .
[38] W. Gray,et al. A unifying framework for watershed thermodynamics: constitutive relationships , 1999 .
[39] Richard P. Hooper,et al. Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology , 2007 .
[40] Erwin Zehe,et al. A thermodynamic approach to link self-organization, preferential flow and rainfall-runoff behaviour , 2013 .
[41] Eric F. Wood,et al. Predicting the Discharge of Global Rivers , 2001, Journal of Climate.
[42] Gary James Jason,et al. The Logic of Scientific Discovery , 1988 .
[43] J. Freer,et al. Consistency between hydrological models and field observations: linking processes at the hillslope scale to hydrological responses at the watershed scale , 2009 .
[44] Jan Seibert,et al. Reliability of Model Predictions Outside Calibration Conditions , 2003 .
[45] Peter Lehmann,et al. Hydrology and Earth System Sciences Rainfall Threshold for Hillslope Outflow: an Emergent Property of Flow Pathway Connectivity , 2022 .
[46] James C. I. Dooge,et al. Looking for hydrologic laws , 1986 .
[47] Richard P. Hooper,et al. Testing and validating environmental models , 1996 .
[48] Keith Beven,et al. Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process , 2007 .
[49] Dmitri Kavetski,et al. Elements of a flexible approach for conceptual hydrological modeling: 1. Motivation and theoretical development , 2011 .
[50] W. Collins,et al. The Community Earth System Model: A Framework for Collaborative Research , 2013 .
[51] Jeffrey J. McDonnell,et al. Gauging the Ungauged Basin: Relative Value of Soft and Hard Data , 2015 .
[52] Murugesu Sivapalan,et al. Pattern, Process and Function: Elements of a Unified Theory of Hydrology at the Catchment Scale , 2006 .
[53] K. Beven,et al. Toward a generalization of the TOPMODEL concepts:Topographic indices of hydrological similarity , 1996 .
[54] K. Beven,et al. A physically based, variable contributing area model of basin hydrology , 1979 .
[55] Keith Beven,et al. The role of bedrock topography on subsurface storm flow , 2002 .
[56] Jeffrey J. McDonnell,et al. Virtual experiments: a new approach for improving process conceptualization in hillslope hydrology , 2004 .
[57] M. Sivapalan,et al. A unifying framework for watershed thermodynamics: balance equations for mass, momentum, energy and entropy, and the second law of thermodynamics , 1998 .
[58] Fubao Sun,et al. A general framework for understanding the response of the water cycle to global warming over land and ocean , 2013 .
[59] T. C. Chamberlin. The Method of Multiple Working Hypotheses: With this method the dangers of parental affection for a favorite theory can be circumvented. , 1965, Science.
[60] Felipe J. Colón-González,et al. Multimodel assessment of water scarcity under climate change , 2013, Proceedings of the National Academy of Sciences.
[61] Peter A. Troch,et al. What makes Darwinian hydrology "Darwinian"? Asking a different kind of question about landscapes , 2014 .
[62] Dmitri Kavetski,et al. A unified approach for process‐based hydrologic modeling: 1. Modeling concept , 2015 .
[63] Hubert H. G. Savenije,et al. On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information , 2009 .
[64] T. Dawson,et al. Contrasting drought-response strategies in California redwoods. , 2015, Tree physiology.
[65] Larry Mahrt,et al. Grid-Averaged Surface Fluxes , 1987 .
[66] M. Huss,et al. Strong Alpine glacier melt in the 1940s due to enhanced solar radiation , 2009 .
[67] Sabine Attinger,et al. Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins , 2016 .
[68] Balaji Rajagopalan,et al. Are we unnecessarily constraining the agility of complex process‐based models? , 2015 .
[69] Sabine Attinger,et al. Implications of distributed hydrologic model parameterization on water fluxes at multiple scales and locations , 2013 .
[70] A. Rinaldo,et al. SEHR-ECHO v1.0: a Spatially Explicit Hydrologic Response model for ecohydrologic applications , 2014 .
[71] K. Mitchell,et al. A parameterization of snowpack and frozen ground intended for NCEP weather and climate models , 1999 .
[72] Enrico Bertuzzo,et al. Transport at basin scales: 1. Theoretical framework , 2005 .
[73] Murugesu Sivapalan,et al. Power law catchment‐scale recessions arising from heterogeneous linear small‐scale dynamics , 2009 .
[74] Michael N. Gooseff,et al. Hydrologic connectivity between landscapes and streams: Transferring reach‐ and plot‐scale understanding to the catchment scale , 2009 .
[75] John S. Selker,et al. Environmental temperature sensing using Raman spectra DTS fiber‐optic methods , 2009 .
[76] Murugesu Sivapalan,et al. A test of the optimality approach to modelling canopy properties and CO2 uptake by natural vegetation. , 2007, Plant, cell & environment.
[77] Keith W. Oleson,et al. Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models , 2002 .
[78] Dmitri Kavetski,et al. Pursuing the method of multiple working hypotheses for hydrological modeling , 2011 .
[79] P. Milly,et al. On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration , 2011 .
[80] Ming Ye,et al. Towards a comprehensive assessment of model structural adequacy , 2012 .
[81] S. Attinger,et al. Multiscale parameter regionalization of a grid‐based hydrologic model at the mesoscale , 2010 .
[82] Atsumu Ohmura,et al. Physical Basis for the Temperature-Based Melt-Index Method , 2001 .
[83] Hoshin Vijai Gupta,et al. Large-sample hydrology: a need to balance depth with breadth , 2013 .
[84] Erwin Zehe,et al. Advancing catchment hydrology to deal with predictions under change , 2013 .
[85] Douglas B. Clark,et al. Representing the effects of subgrid variability of soil moisture on runoff generation in a land surface model , 2008 .
[86] W. J. Shuttleworth,et al. COSMOS: the COsmic-ray Soil Moisture Observing System , 2012 .
[87] K. Oleson,et al. Modeling stomatal conductance in the earth system: linking leaf water-use efficiency and water transport along the soil–plant–atmosphere continuum , 2014 .
[88] Yves Lejeune,et al. A comparison of 1701 snow models using observations from an alpine site , 2013 .
[89] Zong-Liang Yang,et al. Validation of the energy budget of an alpine snowpack simulated by several snow models (Snow MIP project) , 2004, Annals of Glaciology.
[90] Murugesu Sivapalan,et al. Using an optimality model to understand medium and long-term responses of vegetation water use to elevated atmospheric CO2 concentrations , 2015, AoB PLANTS.
[91] Keith Beven,et al. Uniqueness of place and process representations in hydrological modelling , 2000 .
[92] Murugesu Sivapalan,et al. Effects of hydraulic conductivity variability on hillslope‐scale shallow subsurface flow response and storage‐discharge relations , 2009 .
[93] Keith Beven,et al. Searching for the Holy Grail of scientific hydrology: Q t =( S, R, Δt ) A as closure , 2006 .
[94] R. Moore,et al. Observations and modeling of hillslope throughflow temperatures in a coastal forested catchment , 2015 .
[95] Jatin Narula,et al. Maximum entropy production allows a simple representation of heterogeneity in semiarid ecosystems , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.
[96] D. Marks,et al. Radiative transfer modeling of a coniferous canopy characterized by airborne remote sensing , 2008 .
[97] Jan Vanderborght,et al. Proof of concept of regional scale hydrologic simulations at hydrologic resolution utilizing massively parallel computer resources , 2010 .
[98] Andrea Rinaldo,et al. Optimal Channel Networks - a Framework for the Study of River Basin Morphology , 1993 .
[99] Keith Loague,et al. Physics‐based hydrologic‐response simulation: Seeing through the fog of equifinality , 2006 .
[100] Jeffrey J. McDonnell,et al. Are all runoff processes the same? , 2013 .
[101] J. McDonnell,et al. Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures , 2004 .
[102] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins , 2011 .
[103] S. Sorooshian,et al. The distributed model intercomparison project - Phase 2: Experiment design and summary results of the western basin experiments , 2013 .
[104] Martyn P. Clark,et al. Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models , 2008 .
[105] Hoshin Vijai Gupta,et al. The quantity and quality of information in hydrologic models , 2015 .
[106] Doerthe Tetzlaff,et al. Do time‐variable tracers aid the evaluation of hydrological model structure? A multimodel approach , 2012 .
[107] William J. Sutherland,et al. The best solution , 2005, Nature.
[108] M. Wigmosta,et al. A distributed hydrology-vegetation model for complex terrain , 1994 .
[109] Philipp Kraft,et al. CMF: A Hydrological Programming Language Extension For Integrated Catchment Models , 2011, Environ. Model. Softw..
[110] A. Jakeman,et al. How much complexity is warranted in a rainfall‐runoff model? , 1993 .
[111] N. McDowell,et al. The interdependence of mechanisms underlying climate-driven vegetation mortality. , 2011, Trends in ecology & evolution.
[112] Peter Troch,et al. Dealing with Landscape Heterogeneity in Watershed Hydrology: A Review of Recent Progress toward New Hydrological Theory , 2009 .
[113] Jaap Schellekens,et al. Modelling of hydrological responses: the representative elementary watershed approach as an alternative blueprint for watershed modelling , 2003 .
[114] Alessandro Marani,et al. Energy dissipation, runoff production, and the three-dimensional structure of river basins , 1992 .
[115] Eric F. Wood,et al. One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model , 1996 .
[116] Ciaran J. Harman,et al. HESS Opinions: Hydrologic predictions in a changing environment: behavioral modeling , 2011, Hydrology and Earth System Sciences.
[117] D. Lettenmaier,et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .
[118] J. Famiglietti,et al. Multiscale modeling of spatially variable water and energy balance processes , 1994 .
[119] Dmitri Kavetski,et al. Towards more systematic perceptual model development: a case study using 3 Luxembourgish catchments , 2015 .
[120] R. Moore,et al. A distribution function approach to rainfall runoff modeling , 1981 .
[121] Reed M. Maxwell,et al. Quantifying the effects of three-dimensional subsurface heterogeneity on Hortonian runoff processes using a coupled numerical, stochastic approach , 2008 .
[122] Doerthe Tetzlaff,et al. Developing a consistent process‐based conceptualization of catchment functioning using measurements of internal state variables , 2014 .
[123] R. H. Hawkins,et al. STEADY‐STATE ANALYSIS OF INFILTRATION AND OVERLAND FLOW FOR SPATIALLY‐VARIED HILLSLOPES , 1987 .
[124] Keith Beven,et al. Do we need a Community Hydrological Model? , 2015 .
[125] Keith Beven,et al. A manifesto for the equifinality thesis , 2006 .
[126] D. Lawrence,et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .
[127] Peter A. Troch,et al. The future of hydrology: An evolving science for a changing world , 2010 .
[128] M. Sivapalan,et al. Threshold behaviour in hydrological systems as (human) geo-ecosystems: Manifestations, controls, implications , 2009 .
[129] Praveen Kumar,et al. A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure , 2000 .
[130] R. Freeze,et al. Blueprint for a physically-based, digitally-simulated hydrologic response model , 1969 .
[131] William E. Dietrich,et al. Hydraulic Food-Chain ModelsAn approach to the study of food-web dynamics in large rivers , 1995 .
[132] James P. McNamara,et al. Simulated soil water storage effects on streamflow generation in a mountainous snowmelt environment, Idaho, USA , 2009 .
[133] Erwin Zehe,et al. Dynamical process upscaling for deriving catchment scale state variables and constitutive relations for meso-scale process models , 2006 .
[134] Maarten G. Kleinhans,et al. Terra Incognita: Explanation and Reduction in Earth Science , 2005 .
[135] Keith Beven,et al. Modelling hydrologic responses in a small forested catchment (Panola Mountain, Georgia, USA): a comparison of the original and a new dynamic TOPMODEL , 2003 .
[136] David G. Tarboton,et al. Sub-grid parameterization of snow distribution for an energy and mass balance snow cover model , 1999 .
[137] Kelly K. Caylor,et al. Ecohydrological optimization of pattern and processes in water‐limited ecosystems: A trade‐off‐based hypothesis , 2006 .
[138] Clifford I. Voss,et al. Climate change impacts on the temperature and magnitude of groundwater discharge from shallow, unconfined aquifers , 2014 .
[139] Göran Lindström,et al. Virtual laboratories: new opportunities for collaborative water science , 2014, Hydrology and Earth System Sciences.
[140] Dara Entekhabi,et al. Embedding landscape processes into triangulated terrain models , 2005, Int. J. Geogr. Inf. Sci..
[141] Charles H. Luce,et al. Macroscale hydrologic modeling of ecologically relevant flow metrics , 2010 .
[142] Keith Beven,et al. Comment on “Pursuing the method of multiple working hypotheses for hydrological modeling” by P. Clark et al. , 2012 .
[143] Christina L. Tague,et al. RHESSys: Regional Hydro-Ecologic Simulation System—An Object- Oriented Approach to Spatially Distributed Modeling of Carbon, Water, and Nutrient Cycling , 2004 .