What can we learn from multi-data calibration of a process-based ecohydrological model?

Ala-aho, 2017, Integrated surface-subsurface model to investigate the role of groundwater in headwater catchment runoff generation: a minimalist approach to parameterisation, J. Hydrol., 547, 664, 10.1016/j.jhydrol.2017.02.023 Ala-aho, 2017, Using isotopes to constrain water flux and age estimates in snow-influenced catchments using the STARR (Spatially distributed Tracer-Aided Rainfall–Runoff) model, Hydrol. Earth Syst. Sci., 21, 5089, 10.5194/hess-21-5089-2017 Ali, 2014, A comparison of wetness indices for the prediction of observed connected saturated areas under contrasting conditions, Earth Surf. Process. Landforms, 39, 399, 10.1002/esp.3506 Band, 2001, Forest ecosystem processes at the watershed scale: hydrological and ecological controls of nitrogen export, Hydrol. Process., 15, 2013, 10.1002/hyp.253 Beck, 2011, Changes in forest productivity across Alaska consistent with biome shift, Ecol. Lett., 14, 373, 10.1111/j.1461-0248.2011.01598.x Beven, 1992, The future of distributed models: model calibration and uncertainty prediction, Hydrol. Process., 6, 279, 10.1002/hyp.3360060305 Beven, 2001, Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11, 10.1016/S0022-1694(01)00421-8 Bintanja, 2017, Towards a rain-dominated Arctic, Nat. Clim. Change, 7, 263, 10.1038/nclimate3240 Birkel, 2010, Towards a simple dynamic process conceptualization in rainfall–runoff models using multi-criteria calibration and tracers in temperate, upland catchments, Hydrol. Process., 24, 260 Birkel, 2011, Using time domain and geographic source tracers to conceptualize streamflow generation processes in lumped rainfall-runoff models, Water Resour. Res., 47, 10.1029/2010WR009547 Birkel, 2014, Developing a consistent process-based conceptualization of catchment functioning using measurements of internal state variables, Water Resour. Res., 50, 3481, 10.1002/2013WR014925 Blumstock, 2015, Baseflow dynamics: multi-tracer surveys to assess variable groundwater contributions to montane streams under low flows, J. Hydrol., 527, 1021, 10.1016/j.jhydrol.2015.05.019 Bonell, 2002, Ecohydrology—a completely new idea?, Hydrol. Sci. J., 47, 809, 10.1080/02626660209492984 Bossel, 1996, TREEDYN3 forest simulation model, Ecol. Model., 90, 187, 10.1016/0304-3800(95)00139-5 Brooks, 2015, Hydrological partitioning in the critical zone: recent advances and opportunities for developing transferable understanding of water cycle dynamics, Water Resour. Res., 51, 6973, 10.1002/2015WR017039 Cable, 2014, Permafrost thaw affects boreal deciduous plant transpiration through increased soil water, deeper thaw, and warmer soils, Ecohydrology, 7, 982, 10.1002/eco.1423 Chai, 2014, Root mean square error (RMSE) or mean absolute error (MAE)?–Arguments against avoiding RMSE in the literature, Geosci. Model Dev., 7, 1247, 10.5194/gmd-7-1247-2014 Clark, 2006, Unraveling uncertainties in hydrologic model calibration: addressing the problem of compensatory parameters, Geophys. Res. Lett., 33, 10.1029/2005GL025604 Clark, 2011, Pursuing the method of multiple working hypotheses for hydrological modeling, Water Resour. Res., 47, 10.1029/2010WR009827 Cohon, 1978 Cox, 1998, A canopy conductance and photosynthesis model for use in a GCM land surface scheme, J. Hydrol., 212, 79, 10.1016/S0022-1694(98)00203-0 Dee, 2011, The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553, 10.1002/qj.828 Drewry, 2010, Ecohydrological responses of dense canopies to environmental variability: 1. Interplay between vertical structure and photosynthetic pathway, J. Geophys. Res. Biogeosci., 115 Du, 2014, Validation and sensitivity test of the distributed hydrology soil-vegetation model (DHSVM) in a forested mountain watershed, Hydrol. Process., 28, 6196, 10.1002/hyp.10110 Duan, 1992, Effective and efficient global optimization for conceptual rainfall-runoff models, Water Resour. Res., 28, 1015, 10.1029/91WR02985 Duhem, 1954, The aim and structure of physical theory, Am. J. Phys., 22, 10.1119/1.1933818 Dye, 2003, Seasonality and trends of snow-cover, vegetation index, and temperature in northern Eurasia, Geophys. Res. Lett., 30, 10.1029/2002GL016384 Efstratiadis, 2010, One decade of multi-objective calibration approaches in hydrological modelling: a review, Hydrol. Sci. J., 55, 58, 10.1080/02626660903526292 Endrizzi, 2014, GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects, Geosci Model Dev, 7, 2831, 10.5194/gmd-7-2831-2014 Fairfield, 1991, Drainage networks from grid digital elevation models, Water Resour. Res., 27, 709, 10.1029/90WR02658 Fan, 2015, Groundwater in the Earth's critical zone: relevance to large-scale patterns and processes, Water Resour. Res., 51, 10.1002/2015WR017037 Fang, 2013, Multi-variable evaluation of hydrological model predictions for a headwater basin in the Canadian Rocky Mountains, Hydrol. Earth Syst. Sci., 17, 1635, 10.5194/hess-17-1635-2013 Fatichi, 2012, A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments: 1. Theoretical framework and plot-scale analysis, J. Adv. Model. Earth Syst., 4 Fatichi, 2016, An overview of current applications, challenges, and future trends in distributed process-based models in hydrology, J. Hydrol., 537, 45, 10.1016/j.jhydrol.2016.03.026 Geris, 2015, The relative role of soil type and tree cover on water storage and transmission in northern headwater catchments, Hydrol. Process., 29, 1844, 10.1002/hyp.10289 Goddéris, 2013, Earthcasting the future critical zone, Elem. Sci. Anthr, 1, 19, 10.12952/journal.elementa.000019 Gong, 2016, Modeling the effects of plant-interspace heterogeneity on water-energy balances in a semiarid ecosystem, Agric. For. Meteorol., 221, 189, 10.1016/j.agrformet.2016.01.144 Goody, 1995 Gupta, 1998, Toward improved calibration of hydrologic models: multiple and noncommensurable measures of information, Water Resour. Res., 34, 751, 10.1029/97WR03495 Guse, 2016, Demasking the integrated information of discharge: advancing sensitivity analysis to consider different hydrological components and their rates of change, Water Resour. Res., 52, 8724, 10.1002/2016WR018894 He, 2015, Diagnostic calibration of a hydrological model in a mountain area by hydrograph partitioning, Hydrol. Earth Syst. Sci., 19, 1807, 10.5194/hess-19-1807-2015 Hinzman, 2013, Trajectory of the Arctic as an integrated system, Ecol. Appl., 23, 1837, 10.1890/11-1498.1 Jarvis, 1976, The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field, Philos. Trans. R. Soc. Lond. B Biol. Sci., 273, 593, 10.1098/rstb.1976.0035 Jiménez Cisneros, 2014 Jobbágy, 2011, Water subsidies from mountains to deserts: their role in sustaining groundwater-fed oases in a sandy landscape, Ecol. Appl., 21, 678, 10.1890/09-1427.1 Kaminski, 2013, The BETHY/JSBACH carbon cycle data assimilation system: experiences and challenges, J. Geophys. Res. Biogeosciences, 118, 1414, 10.1002/jgrg.20118 Kirchner, 2006, Getting the right answers for the right reasons: linking measurements, analyses, and models to advance the science of hydrology, Water Resour. Res., 42, 10.1029/2005WR004362 Kirchner, 2001, Catchment-scale advection and dispersion as a mechanism for fractal scaling in stream tracer concentrations, J. Hydrol., 254, 82, 10.1016/S0022-1694(01)00487-5 Kling, 2012, Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios, J. Hydrol., 424, 264, 10.1016/j.jhydrol.2012.01.011 Krause, 2005, Comparison of different efficiency criteria for hydrological model assessment, Adv. Geosci., 5, 89, 10.5194/adgeo-5-89-2005 Kuchment, 2000, A distributed model of runoff generation in the permafrost regions, J. Hydrol., 240, 1, 10.1016/S0022-1694(00)00318-8 Landsberg, 1997, A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning, For. Ecol. Manag, 95, 209, 10.1016/S0378-1127(97)00026-1 Larsen, 2016, Calibration of a distributed hydrology and land surface model using energy flux measurements, Agric. For. Meteorol., 217, 74, 10.1016/j.agrformet.2015.11.012 Laudon, 2017, Save northern high-latitude catchments, Nat. Geosci., 10, 10.1038/ngeo2947 Law, 1956, The effect of afforestation upon the yield of water catchment areas, J. Br. Waterworks Assoc., 38, 489 Legates, 1999, Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35, 233, 10.1029/1998WR900018 Lessels, 2016, Water sources and mixing in riparian wetlands revealed by tracers and geospatial analysis, Water Resour. Res., 52, 456, 10.1002/2015WR017519 Lindström, 1997, Development and test of the distributed HBV-96 hydrological model, J. Hydrol., 201, 272, 10.1016/S0022-1694(97)00041-3 Lozano-Parra, 2014, Climate and topographic controls on simulated pasture production in a semiarid Mediterranean watershed with scattered tree cover, Hydrol. Earth Syst. Sci., 18, 1439, 10.5194/hess-18-1439-2014 Madsen, 2003, Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives, Adv. Water Resour., 26, 205, 10.1016/S0309-1708(02)00092-1 Maneta, 2013, A spatially distributed model to simulate water, energy, and vegetation dynamics using information from regional climate models, Earth Interact., 17, 1, 10.1175/2012EI000472.1 Maneta, 2013, Pilot-point based multi-objective calibration in a surface–subsurface distributed hydrological model, Hydrol. Sci. J., 58, 390, 10.1080/02626667.2012.754987 Maneta, 2007, Temporal instability of parameters in an event-based distributed hydrologic model applied to a small semiarid catchment, J. Hydrol., 341, 207, 10.1016/j.jhydrol.2007.05.010 Maneta, 2008, Continuous spatially distributed simulation of surface and subsurface hydrological processes in a small semiarid catchment, Hydrol. Process., 22, 2196, 10.1002/hyp.6817 Manoli, 2017, Competition for light and water in a coupled soil-plant system, Adv. Water Resour., 108, 216, 10.1016/j.advwatres.2017.08.004 Maxwell, 2016, Connections between groundwater flow and transpiration partitioning, Science, 353, 377, 10.1126/science.aaf7891 Mays, 2010 McClelland, 2006, A pan-arctic evaluation of changes in river discharge during the latter half of the 20th century, Geophys. Res. Lett., 33, 10.1029/2006GL025753 McDonnell, 2007, Moving beyond heterogeneity and process complexity: a new vision for watershed hydrology, Water Resour. Res., 43, 10.1029/2006WR005467 Méndez-Barroso, 2014, A modeling approach reveals differences in evapotranspiration and its partitioning in two semiarid ecosystems in Northwest Mexico, Water Resour. Res., 50, 3229, 10.1002/2013WR014838 Morris, 1991, Factorial sampling plans for preliminary computational experiments, Technometrics, 33, 161, 10.1080/00401706.1991.10484804 Naito, 2015, Patterns of shrub expansion in Alaskan arctic river corridors suggest phase transition, Ecol. Evol., 5, 87, 10.1002/ece3.1341 Nash, 1970, River flow forecasting through conceptual models part I — a discussion of principles, J. Hydrol., 10, 282, 10.1016/0022-1694(70)90255-6 National Research Council, 2012 Newman, 2006, Ecohydrology of water-limited environments: a scientific vision, Water Resour. Res., 42, 10.1029/2005WR004141 Niu, 2015, Modeling watershed-scale solute transport using an integrated, process-based hydrologic model with applications to bacterial fate and transport, J. Hydrol., 529, 35, 10.1016/j.jhydrol.2015.07.013 Met Office, 2017 Paniconi, 2015, Physically based modeling in catchment hydrology at 50: survey and outlook, Water Resour. Res., 51, 7090, 10.1002/2015WR017780 Peng, 2002, TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics, Ecol. Model., 153, 109, 10.1016/S0304-3800(01)00505-1 Peterson, 2002, Increasing river discharge to the arctic ocean, Science, 298, 2171, 10.1126/science.1077445 Peylin, 2016, A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle, Geosci. Model Dev., 9, 3321, 10.5194/gmd-9-3321-2016 Piao, 2008, Net carbon dioxide losses of northern ecosystems in response to autumn warming, Nature, 451, 49, 10.1038/nature06444 Pierini, 2014, Using observations and a distributed hydrologic model to explore runoff thresholds linked with mesquite encroachment in the Sonoran Desert, Water Resour. Res., 50, 8191, 10.1002/2014WR015781 Pomeroy, 2007, The cold regions hydrological model: a platform for basing process representation and model structure on physical evidence, Hydrol. Process., 21, 2650, 10.1002/hyp.6787 Pomeroy, 2013, Predicting in ungauged basins using physical principles obtained using the deductive, inductive, and abductive reasoning approach, Putt. Predict. Ungauged Basins Pract, 43 Rajib, 2016, Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture, J. Hydrol., 536, 192, 10.1016/j.jhydrol.2016.02.037 Rodriguez-Iturbe, 2007, Challenges in humid land ecohydrology: interactions of water table and unsaturated zone with climate, soil, and vegetation, Water Resour. Res., 43, 10.1029/2007WR006073 Rouhani, 2007, Parameter estimation in semi-distributed hydrological catchment modelling using a multi-criteria objective function, Hydrol. Process., 21, 2998, 10.1002/hyp.6527 Seibert, 2003, Reliability of model predictions outside calibration conditions, Nord. Hydrol, 34, 477, 10.2166/nh.2003.0019 Shafii, 2017, A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework, Water Resour. Res., 53, 10.1002/2016WR019736 Sorooshian, 1980, Stochastic parameter estimation procedures for hydrologie rainfall-runoff models: correlated and heteroscedastic error cases, Water Resour. Res., 16, 430, 10.1029/WR016i002p00430 Soulsby, 2015, Stream water age distributions controlled by storage dynamics and nonlinear hydrologic connectivity: modeling with high-resolution isotope data, Water Resour. Res., 51, 7759, 10.1002/2015WR017888 Soulsby, 2016, Using geophysical surveys to test tracer-based storage estimates in headwater catchments, Hydrol. Process., 30, 4434 Sprenger, 2017, Evaporation fractionation in a peatland drainage network affects stream water isotope composition, Water Resour. Res., 53, 851, 10.1002/2016WR019258 Tague, 2009, Assessing climate change impacts on alpine stream-flow and vegetation water use: mining the linkages with subsurface hydrologic processes, Hydrol. Process., 23, 1815, 10.1002/hyp.7288 Tang, 2007, Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications, Adv. Water Resour., 30, 335, 10.1016/j.advwatres.2006.06.006 Tetzlaff, 2007, Conceptualization of runoff processes using a geographical information system and tracers in a nested mesoscale catchment, Hydrol. Process., 21, 1289, 10.1002/hyp.6309 Tetzlaff, 2013, Catchments on the cusp? Structural and functional change in northern ecohydrology, Hydrol. Process., 27, 766, 10.1002/hyp.9700 Tetzlaff, 2014, Storage dynamics in hydropedological units control hillslope connectivity, runoff generation, and the evolution of catchment transit time distributions, Water Resour. Res., 50, 969, 10.1002/2013WR014147 Tetzlaff, 2015, A preliminary assessment of water partitioning and ecohydrological coupling in northern headwaters using stable isotopes and conceptual runoff models, Hydrol. Process., 29, 5153, 10.1002/hyp.10515 Tetzlaff, 2015, Tracer-based assessment of flow paths, storage and runoff generation in northern catchments: a review, Hydrol. Process., 29, 3475, 10.1002/hyp.10412 Thorstensen, 2015, Using densely distributed soil moisture observations for calibration of a hydrologic model, J. Hydrometeorol., 17, 571, 10.1175/JHM-D-15-0071.1 Tolson, 2007, Dynamically dimensioned search algorithm for computationally efficient watershed model calibration, Water Resour. Res., 43, 10.1029/2005WR004723 Uhlenbrook, 1999, Prediction uncertainty of conceptual rainfall-runoff models caused by problems in identifying model parameters and structure, Hydrol. Sci. J., 44, 779, 10.1080/02626669909492273 Wang, 2017, Assessing the environmental controls on Scots pine transpiration and the implications for water partitioning in a boreal headwater catchment, Agric. For. Meteorol., 240, 58, 10.1016/j.agrformet.2017.04.002 Wang, 2017, Testing the maximum entropy production approach for estimating evapotranspiration from closed canopy shrubland in a low-energy humid environment, Hydrol. Process., 10.1002/hyp.11363 Wei, 2016, Simulated water budget of a small forested watershed in the continental/maritime hydroclimatic region of the United States, Hydrol. Process., 30, 2000, 10.1002/hyp.10769 van Werkhoven, 2009, Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models, Adv. Water Resour., 32, 1154, 10.1016/j.advwatres.2009.03.002 White, 2015, The role of critical zone observatories in critical zone science, Dev. Earth Surf. Process, 19, 15, 10.1016/B978-0-444-63369-9.00002-1 Williams, 2007, Projected distributions of novel and disappearing climates by 2100 AD, Proc. Natl. Acad. Sci., 104, 5738, 10.1073/pnas.0606292104 Zhang, 2014, Runoff sensitivity to global mean temperature change in the CMIP5 Models, Geophys. Res. Lett., 41, 10.1002/2014GL060382