Improving the representation of hydrologic processes in Earth System Models

Water Resources Research

Volumn 51, Issue 8, 2015, Pages 5929-5956

  Clark, Martyn P ^a   Fan, Ying ^b   Lawrence, David M ^a   Adam, Jennifer C ^c   Bolster, Diogo ^d   Gochis, David J ^a   Hooper, Richard P ^e   Kumar, Mukesh ^f   Leung, L Ruby ^g   Mackay, D Scott ^h   Maxwell, Reed M ⁱ   Shen, Chaopeng ^j   Swenson, Sean C ^a   Zeng, Xubin ^k  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c Washington State University   (United States)

^d University of Notre Dame   (United States)

^e Consortium of Universities for the Advancement of Hydrologic Science Inc ^*  (United States)

^f DUKE UNIVERSITY   (United States)

^g PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

^h UNIVERSITY AT BUFFALO   (United States)

ⁱ Department of Geology and Geological Engineering   (United States)

^j The Pennsylvania State University   (United States)

^k UNIVERSITY OF ARIZONA   (United States)

more..

Author keywords

benchmarking; Earth System Model; heterogeneity; hydrologic processes

Indexed keywords

CARBON; FORESTRY; GROUNDWATER; HYDROLOGY; SURFACE WATERS; WATERSHEDS;

EARTH SYSTEM MODEL; GLOBAL ENVIRONMENTAL CHANGE; GROUND WATER-SURFACE WATER INTERACTIONS; HETEROGENEITY; HYDROLOGIC CONNECTIVITY; HYDROLOGIC PROCESS; RIGOROUS EVALUATION; SPATIAL VARIABILITY;

BENCHMARKING;

BENCHMARKING; EARTH; ENVIRONMENTAL CHANGE; HETEROGENEITY; HYDROLOGICAL CHANGE; RIVER BASIN;

EID: 84941959487     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017096     Document Type: Article

References (282)

1. Abramowitz, G., (2012), Towards a public, standardized, diagnostic benchmarking system for land surface models, Geosci. Model Dev., 5, 819-827, doi: 10.5194/gmd-5-819-2012.
2. Abramowitz, G., R. Leuning, M. Clark, and, A. Pitman, (2008), Evaluating the performance of land surface models, J. Clim., 21, 5468-5481.
3. Adam, J. C., J. C. Stephens, S. H. Chung, M. P. Brady, R. D. Evans, C. E. Kruger, B. K. Lamb, M. Liu, C. O. Stöckle, and, J. K. Vaughan, (2014), BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management, Clim. Change, 129, 555-571.
4. Alcamo, J., P. Döll, T. Henrichs, F. Kaspar, B. Lehner, T. Rösch, and, S. Siebert, (2003), Development and testing of the WaterGAP 2 global model of water use and availability, Hydrol. Sci. J., 48, 317-337.
5. Alkama, R., B. Decharme, H. Douville, M. Becker, A. Cazenave, J. Sheffield, A. Voldoire, S. Tyteca, and, P. Le Moigne, (2010), Global evaluation of the ISBA-TRIP continental hydrological system. Part I: Comparison to GRACE terrestrial water storage estimates and in situ river discharges, J. Hydrometeorol., 11, 583-600.
6. Allen, G. H., and, T. M. Pavelsky, (2015), Patterns of river width and surface area revealed by the satellite-derived North American River Width (NARWidth) data set, Geophys. Res. Lett., 42, 395-402, doi: 10.1002/2014GL062764.
7. Avissar, R., and, R. A. Pielke, (1989), A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology, Mon. Weather Rev., 117, 2113-2136.
8. Baldocchi, D., and, T. Meyers, (1998), On using eco-physiological, micrometeorological and biogeochemical theory to evaluate carbon dioxide, water vapor and trace gas fluxes over vegetation: A perspective, Agric. For. Meteorol., 90, 1-25.
9. Balsamo, G., P. Viterbo, A. Beljaars, B. van den Hurk, M. Hirschi, A. K. Betts, and, K. Scipal, (2009), A revised hydrology for the ECMWF model: Verification from field site to terrestrial water storage and impact in the integrated forecast system, J. Hydrometeorol., 10, 623-643, doi: 10.1175/2008JHM1068.1.
10. Balsamo, G., F. Pappenberger, E. Dutra, P. Viterbo, and, B. van den Hurk, (2011), A revised land hydrology in the ECMWF model: A step towards daily water flux prediction in a fully-closed water cycle, Hydrol. Processes, 25, 1046-1054, doi: 10.1002/hyp.7808.
11. Barnett, T. P., J. C. Adam, and, D. P. Lettenmaier, (2005), Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303-309.
12. Best, M. J., et al., (2011), The Joint UK Land Environment Simulator (JULES), model description-Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677-699, doi: 10.5194/gmd-4-677-2011.
13. Beven, K., (1993), Prophecy, reality and uncertainty in distributed hydrological modeling, Adv. Water Resour., 16, 41-51, doi: 10.1016/0309-1708(93)90028-E.
14. Beven, K., (2001), How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1-12.
15. Beven, K., (2007), Towards integrated environmental models of everywhere: Uncertainty, data and modelling as a learning process, Hydrol. Earth Syst. Sci., 11, 460-467.
16. Beven, K., (2012), Causal models as multiple working hypotheses about environmental processes, C. R. Geosci., 344, 77-88, doi: 10.1016/j.crte.2012.01.005.
17. Beven, K., and, J. Freer, (2001), A dynamic TOPMODEL, Hydrol. Processes, 15, 1993-2011, doi: 10.1002/hyp.252.
18. Beven, K., and, P. Germann, (1981), Water-flow in soil macropores. 2. A combined flow model, J. Soil Sci., 32, 15-29.
19. Beven, K., and, P. Germann, (1982), Macropores and water-flow in soils, Water Resour. Res., 18, 1311-1325, doi: 10.1029/WR018i005p01311.
20. Beven, K. J., and, H. L. Cloke, (2012), Comment on "Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water" by Eric F. Wood et al., Water Resour. Res., 48, W01801, doi: 10.1029/2011WR010982.
21. Beven, K. J., and, M. J. Kirkby, (1979), A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. J., 24 (1), 43-69, doi: 10.1080/02626667909491834.
22. Beven, K. J., P. Smith, I. Westerberg, and, J. Freer, (2012), Comment on "Pursuing the method of multiple working hypotheses for hydrological modeling" by M. P. Clark et al., Water Resour. Res., 48, W11801, doi: 10.1029/2012WR012282.
23. Blyth, E., D. Clark, R. Ellis, C. Huntingford, S. Los, M. Pryor, M. Best, and, S. Sitch, (2011), A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale, Geosci. Model Dev., 4, 255-269.
24. Bogaart, P., and, P. Troch, (2006), Curvature distribution within hillslopes and catchments and its effect on the hydrological response, Hydrol. Earth Syst. Sci., 10, 925-936.
25. Bogaart, P. W., D. E. Rupp, J. S. Selker, and, Y. Velde, (2013), Late-time drainage from a sloping Boussinesq aquifer, Water Resour. Res., 49, 7498-7507, doi: 10.1002/2013WR013780.
26. Bonan, G., M. Williams, R. Fisher, and, K. Oleson, (2014), Modeling stomatal conductance in the earth system: Linking leaf water-use efficiency and water transport along the soil-plant-atmosphere continuum, Geosci. Model Dev., 7, 2193-2222.
27. Bonan, G. B., S. Levis, L. Kergoat, and, K. W. Oleson, (2002), Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models, Global Biogeochem. Cycles, 16 (2), doi: 10.1029/2000GB001360.
28. Boone, A., and, P. J. Wetzel, (1996), Issues related to low resolution modeling of soil moisture: Experience with the PLACE model, Global Planet. Change, 13, 161-181, doi: 10.1016/0921-8181(95)00044-5.
29. Boone, A., F. Habets, J. Noilhan, D. Clark, P. Dirmeyer, S. Fox, Y. Gusev, I. Haddeland, R. Koster, and, D. Lohmann, (2004), The Rhone-Aggregation land surface scheme intercomparison project: An overview, J. Clim., 17, 187-208.
30. Boucher, O., G. Myhre, and, A. Myhre, (2004), Direct human influence of irrigation on atmospheric water vapour and climate, Clim. Dyn., 22, 597-603.
31. Camporese, M., C. Paniconi, M. Putti, and, P. Salandin, (2009), Ensemble Kalman filter data assimilation for a process-based catchment scale model of surface and subsurface flow, Water Resour. Res., 45, W10421, doi: 10.1029/2008WR007031.
32. Camporese, M., C. Paniconi, M. Putti, and, S. Orlandini, (2010), Surface-subsurface flow modeling with path-based runoff routing, boundary condition-based coupling, and assimilation of multisource observation data, Water Resour. Res., 46, W02512, doi: 10.1029/2008WR007536.
33. Campoy, A., A. Ducharne, F. Cheruy, F. Hourdin, J. Polcher, and, J. Dupont, (2013), Response of land surface fluxes and precipitation to different soil bottom hydrological conditions in a general circulation model, J. Geophys. Res. Atmos., 118, 10,725-10,739, doi: 10.1002/jgrd.50627.
34. Carrillo, G., P. Troch, M. Sivapalan, T. Wagener, C. Harman, and, K. Sawicz, (2011), Catchment classification: Hydrological analysis of catchment behavior through process-based modeling along a climate gradient, Hydrol. Earth Syst. Sci., 15, 3411-3430.
35. Celia, M. A., E. T. Bouloutas, and, R. L. Zarba, (1990), A general mass-conservative numerical solution for the unsaturated flow equation, Water Resour. Res., 26, 1483-1496, doi: 10.1029/90WR00196.
36. Chaney, N. W., J. K. Roundy, J. E. Herrera-Estrada, and, E. F. Wood, (2014), High-resolution modeling of the spatial heterogeneity of soil moisture: Applications in network design, Water Resour. Res., 51, 619-638, doi: 10.1002/2013WR014964.
37. Chen, F., and, R. Avissar, (1994), Impact of land-surface moisture variability on local shallow convective cumulus and precipitation in large-scale models, J. Appl. Meteorol., 33, 1382-1401.
38. Chen, F., and, J. Dudhia, (2001), Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity, Mon. Weather Rev., 129, 569-585, doi: 10.1175/1520-0493(2001)129 <0569:CAALSH>2.0.CO;2.
39. Chen, F., K. Mitchell, J. Schaake, Y. Xue, H. L. Pan, V. Koren, Q. Y. Duan, M. Ek, and, A. Betts, (1996), Modeling of land surface evaporation by four schemes and comparison with FIFE observations, J. Geophys. Res., 101, 7251-7268.
40. Clapp, R. B., and, G. M. Hornberger, (1978), Empirical equations for some soil hydraulic properties, Water Resour. Res., 14, 601-604.
41. Clark, D. B., and, N. Gedney, (2008), Representing the effects of subgrid variability of soil moisture on runoff generation in a land surface model, J. Geophys. Res., 113, D10111, doi: 10.1029/2007JD008940.
42. Clark, M. P., A. G. Slater, D. E. Rupp, R. A. Woods, J. A. Vrugt, H. V. Gupta, T. Wagener, and, L. E. Hay, (2008), Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models, Water Resour. Res., 44, W00B02, doi: 10.1029/2007WR006735.
43. Clark, M. P., D. E. Rupp, R. A. Woods, H. J. Tromp-van Meerveld, N. E. Peters, and, J. E. Freer, (2009), Consistency between hydrological models and field observations: Linking processes at the hillslope scale to hydrological responses at the watershed scale, Hydrol. Processes, 23, 311-319, doi: 10.1002/hyp.7154.
44. Clark, M. P., D. Kavetski, and, F. Fenicia, (2011), Pursuing the method of multiple working hypotheses for hydrological modeling, Water Resour. Res., 47, W09301, doi: 10.1029/2010WR009827.
45. Clark, M. P., D. Kavetski, and, F. Fenicia, (2012), Reply to comment by K. Beven et al. on "Pursuing the method of multiple working hypotheses for hydrological modeling", Water Resour. Res., 48, W11802, doi: 10.1029/2012WR012547.
46. Clark, M. P., et al., (2015a), A unified approach to process-based hydrologic modeling. Part 1: Modeling concept, Water Resour. Res., 51, 2498-2514, doi: 10.1002/2015WR017198.
47. Clark, M. P., et al., (2015b), A unified approach for process-based hydrologic modeling: Part 2. Model implementation and example applications, Water Resour. Res., 51, 2515-2542, doi: 10.1002/2015WR017200.
48. Cox, P. M., R. A. Betts, C. B. Bunton, R. L. H. Essery, P. R. Rowntree, and, J. Smith, (1999), The impact of new land surface physics on the GCM simulation of climate and climate sensitivity, Clim. Dyn., 15, 183-203, doi: 10.1007/s003820050276.
49. Dai, Y., R. E. Dickinson, and, Y.-P. Wang, (2004), A two-big-leaf model for canopy temperature, photosynthesis, and stomatal conductance, J. Clim., 17, 2281-2299, doi: 10.1175/1520-0442(2004)017 <2281:ATMFCT>2.0.CO;2.
50. De Rooij, G. H., (2010), Comments on "Improving the Numerical Simulation of Soil Moisture-Based Richards Equation for Land Models with a Deep or Shallow Water Table", J. Hydrometeorol., 11, 1044-1050.
51. de Rosnay, P., and, J. Polcher, (1998), Modelling root water uptake in a complex land surface scheme coupled to a GCM, Hydrol. Earth Syst. Sci., 2, 239-255.
52. de Rosnay, P., M. Bruen, and, J. Polcher, (2000), Sensitivity of surface fluxes to the number of layers in the soil model used in GCMs, Geophys. Res. Lett., 27, 3329-3332, doi: 10.1029/2000GL011574.
53. de Rosnay, P., J. Polcher, M. Bruen, and, K. Laval, (2002), Impact of a physically based soil water flow and soil-plant interaction representation for modeling large-scale land surface processes, J. Geophys. Res., 107 (D11), doi: 10.1029/2001JD000634.
54. Decharme, B., R. Alkama, H. Douville, M. Becker, and, A. Cazenave, (2010), Global evaluation of the ISBA-TRIP continental hydrological system. Part II: Uncertainties in river routing simulation related to flow velocity and groundwater storage, J. Hydrometeorol., 11, 601-617.
55. Decharme, B., R. Alkama, F. Papa, S. Faroux, H. Douville, and, C. Prigent, (2012), Global off-line evaluation of the ISBA-TRIP flood model, Clim. Dyn., 38, 1389-1412.
56. Dirmeyer, P. A., R. D. Koster, and, Z. C. Guo, (2006), Do global models properly represent the feedback between land and atmosphere?, J. Hydrometeorol., 7, 1177-1198, doi: 10.1175/JHM532.1.
57. Dolman, J. A., and, D. Gregory, (1992), The parametrization of rainfall interception in GCMs, Q. J. R. Meteorol. Soc., 118, 455-467.
58. Domec, J. C., J. Ogée, A. Noormets, J. Jouangy, M. Gavazzi, E. Treasure, G. Sun, S. G. McNulty, and, J. S. King, (2012), Interactive effects of nocturnal transpiration and climate change on the root hydraulic redistribution and carbon and water budgets of southern United States pine plantations, Tree Physiol., 32, 707-723, doi: 10.1093/treephys/tps018.
59. Dooge, J. C. I., (1986), Looking for hydrologic laws, Water Resour. Res., 22, 46S-58S, doi: 10.1029/WR022i09Sp0046S.
60. d'Orgeval, T., J. Polcher, and, P. de Rosnay, (2008), Sensitivity of the West African hydrological cycle in ORCHIDEE to infiltration processes, Hydrol. Earth Syst. Sci., 12, 1387-1401.
61. Douville, H., (2004), Relevance of soil moisture for seasonal atmospheric predictions: Is it an initial value problem?, Clim. Dyn., 22, 429-446.
62. Downer, C. W., and, F. L. Ogden, (2004), GSSHA: Model to simulate diverse stream flow producing processes, J. Hydrol. Eng., 9, 161-174.
63. Drewniak, B., J. Song, J. Prell, V. Kotamarthi, and, R. Jacob, (2013), Modeling agriculture in the community land model, Geosci. Model Dev., 6, 495-515.
64. Ducharne, A., R. D. Koster, M. J. Suarez, M. Stieglitz, and, P. Kumar, (2000), A catchment-based approach to modeling land surface processes in a general circulation model: 2. Parameter estimation and model demonstration, J. Geophys. Res., 105, 24,823-24,838, doi: 10.1029/2000JD900328.
65. Dunne, J. P., J. G. John, A. J. Adcroft, S. M. Griffies, R. W. Hallberg, E. Shevliakova, R. J. Stouffer, W. Cooke, K. A. Dunne, and, M. J. Harrison, (2012), GFDL's ESM2 global coupled climate-carbon Earth System Models. Part I: Physical formulation and baseline simulation characteristics, J. Clim., 25, 6646-6665.
66. Eagleson, P. S., (1986), The emergence of global-scale hydrology, Water Resour. Res., 22, 6S-14S.
67. ECMWF (2014), IFS Documentation-Cy40r1 Operational Implementation, 22 November 2013. Part IV: Physical Processes, 190 pp., European Centre for Medium-Range Weather Forecasts, Reading, UK
68. Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and, J. D. Tarpley, (2003), Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model, J. Geophys. Res., 108 (D22), 8851, doi: 10.1029/2002JD003296.
69. Entekhabi, D., and, P. S. Eagleson, (1989), Land surface hydrology parameterization for atmospheric general circulation models including subgrid scale spatial variability, J. Clim., 2, 816-831.
70. Essery, R., P. Bunting, J. Hardy, T. Link, D. Marks, R. Melloh, J. Pomeroy, A. Rowlands, and, N. Rutter, (2008), Radiative transfer modeling of a coniferous canopy characterized by airborne remote sensing, J. Hydrometeorol., 9, 228-241, doi: 10.1175/2007JHM870.1.
71. Essery, R. L. H., M. J. Best, R. A. Betts, P. M. Cox, and, C. M. Taylor, (2003), Explicit representation of subgrid heterogeneity in a GCM land surface scheme, J. Hydrometeorol., 4, 530-543, doi: 10.1175/1525-7541(2003)004 <0530:EROSHI>2.0.CO;2.
72. Ewers, B., R. Oren, and, J. Sperry, (2000), Influence of nutrient versus water supply on hydraulic architecture and water balance in Pinus taeda, Plant Cell Environ., 23, 1055-1066.
73. Famiglietti, J. S., and, E. F. Wood, (1994), Multiscale modeling of spatially variable water and energy balance processes, Water Resour. Res., 30, 3061-3078, doi: 10.1029/94WR01498.
74. Fan, Y., (2015), Groundwater in the Earth's critical zone-Relevance to large-scale patterns and processes, Water Resour. Res., 51, 3052-3069, doi: 10.1002/2015WR017037.
75. Fan, Y., and, R. L. Bras, (1998), Analytical solutions to hillslope subsurface storm flow and saturation overland flow, Water Resour. Res., 34, 921-927.
76. Fan, Y., and, G. Miguez-Macho, (2011), A simple hydrologic framework for simulating wetlands in climate and earth system models, Clim. Dyn., 37, 253-278, doi: 10.1007/s00382-010-0829-8.
77. Fan, Y., G. Miguez-Macho, C. P. Weaver, R. Walko, and, A. Robock, (2007), Incorporating water table dynamics in climate modeling: 1. Water table observations and equilibrium water table simulations, J. Geophys. Res., 112, D10125, doi: 10.1029/2006JD008111.
78. Fan, Y., H. Li, and, G. Miguez-Macho, (2013), Global patterns of groundwater table depth, Science, 339, 940-943.
79. Fan, Y., S. Richard, R. Bristol, S. Peters, S. Ingebritsen, N. Moosdorf, A. Packman, T. Gleeson, I. Zaslavsky, and, S. Peckham, (2015), DigitalCrust-A 4D data system of material properties for transforming research on crustal fluid flow, Geofluids, 15, 372-379.
80. Feddes, R., E. Bresler, and, S. Neuman, (1974), Field test of a modified numerical model for water uptake by root systems, Water Resour. Res., 10, 1199-1206.
81. Feddes, R. A., H. Hoff, M. Bruen, T. Dawson, P. de Rosnay, P. Dirmeyer, R. B. Jackson, P. Kabat, A. Kleidon, and, A. Lilly, (2001), Modeling root water uptake in hydrological and climate models, Bull.Am. Meteorol. Soc., 82, 2797-2809.
82. Fenicia, F., D. Kavetski, H. H. G. Savenije, M. P. Clark, G. Schoups, L. Pfister, and, J. Freer, (2014), Catchment properties, function, and conceptual model representation: Is there a correspondence?, Hydrol. Processes, 28, 2451-2467, doi: 10.1002/hyp.9726.
83. Flato, G. M., (2011), Earth system models: An overview, WIREs Clim. Change, 2, 783-800.
84. Foley, J. A., R. DeFries, G. P. Asner, C. Barford, G. Bonan, S. R. Carpenter, F. S. Chapin, M. T. Coe, G. C. Daily, and, H. K. Gibbs, (2005), Global consequences of land use, Science, 309, 570-574.
85. Freer, J. E., H. McMillan, J. J. McDonnell, and, K. J. Beven, (2004), Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures, J. Hydrol., 291, 254-277, doi: 10.1016/j.jhydrol.2003.12.037.
86. Freeze, R. A., and, R. Harlan, (1969), Blueprint for a physically-based, digitally-simulated hydrologic response model, J. Hydrol., 9, 237-258, doi: 10.1016/0022-1694(69)90020-1.
87. Garrote, L., and, R. L. Bras, (1995), A distributed model for real-time flood forecasting using digital elevation models, J. Hydrol., 167, 279-306.
88. Gedney, N., and, P. M. Cox, (2003), The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity, J. Hydrometeorol., 4, 1265-1275, doi: 10.1175/1525-7541(2003)004 <1265:TSOGCM>2.0.CO;2.
89. Getirana, A. C., A. Boone, D. Yamazaki, and, N. Mognard, (2013), Automatic parameterization of a flow routing scheme driven by radar altimetry data: Evaluation in the Amazon basin, Water Resour. Res., 49, 614-629, doi: 10.1002/wrcr.20077.
90. Giorgi, F., and, R. Avissar, (1997), Representation of heterogeneity effects in earth system modeling: Experience from land surface modeling, Rev. Geophys., 35, 413-437, doi: 10.1029/97RG01754.
91. Gleason, C. J., and, L. C. Smith, (2014), Toward global mapping of river discharge using satellite images and at-many-stations hydraulic geometry, Proc. Natl. Acad. Sci. U. S. A., 111, 4788-4791.
92. Gochis, D. J., E. R. Vivoni, and, C. J. Watts, (2010), The impact of soil depth on land surface energy and water fluxes in the North American Monsoon region, J. Arid Environ., 74, 564-571.
93. Gochis, D. J., W. Yu, and, D. N. Yates, (2013), The WRF-Hydro Model Technical Description and User's Guide, Version 1.0., 120 pp., National Center for Atmospheric Research, Boulder, Colo.
94. Govindaraju, R., M. Kavvas, and, S. Jones, (1990), Approximate analytical solutions for overland flows, Water Resour. Res., 26, 2903-2912.
95. Grant, L., M. Seyfried, and, J. McNamara, (2004), Spatial variation and temporal stability of soil water in a snow-dominated, mountain catchment, Hydrol. Processes, 18, 3493-3511.
96. Guimberteau, M., G. Drapeau, J. Ronchail, B. Sultan, J. Polcher, J.-M. Martinez, C. Prigent, J.-L. Guyot, G. Cochonneau, and, J. Espinoza, (2012), Discharge simulation in the sub-basins of the Amazon using ORCHIDEE forced by new datasets, Hydrol. Earth Syst. Sci., 16, 911-935.
97. Gupta, H. V., T. Wagener, and, Y. Q. Liu, (2008), Reconciling theory with observations: Elements of a diagnostic approach to model evaluation, Hydrol. Processes, 22, 3802-3813, doi: 10.1002/hyp.6989.
98. Gupta, H. V., M. P. Clark, J. A. Vrugt, G. Abramowitz, and, M. Ye, (2012), Towards a comprehensive assessment of model structural adequacy, Water Resour. Res., 48, W08301, doi: 10.1029/2011WR011044.
99. Haddeland, I., D. P. Lettenmaier, and, T. Skaugen, (2006), Effects of irrigation on the water and energy balances of the Colorado and Mekong river basins, J. Hydrol., 324, 210-223.
100. Hahmann, A. N., and, R. E. Dickinson, (2001), A fine-mesh land approach for general circulation models and its impact on regional climate, J. Clim., 14, 1634-1646.
101. Hansson, K., J. Simunek, M. Mizoguchi, L. C. Lundin, and, M. T. van Genuchten, (2004), Water flow and heat transport in frozen soil: Numerical solution and freeze-thaw applications, Vadose Zone J., 3, 693-704.
102. Harbaugh, A. W., E. R. Banta, and, M. C. Hill, (2005), MODFLOW-2000, The US Geological Survey modular ground-water model: User guide to modularization concepts and the ground-water flow process, U.S. Geol. Surv. Open File Rep., 00-92, 121 pp.
103. Harper, J., M. Jones, and, N. Sackville Hamilton, (1991), The evolution of roots and the problems of analysing their behaviour, in Plant Root Growth: An Ecological Perspective, edited by, D. Atkinson, Blackwell Scientific Publications, Oxford, UK
104. Hickler, T., I. C. Prentice, B. Smith, M. T. Sykes, and, S. Zaehle, (2006), Implementing plant hydraulic architecture within the LPJ Dynamic Global Vegetation Model, Global Ecol. Biogeogr., 15, 567-577, doi: 10.1111/j.1466-822X.2006.00254.x.
105. Hilberts, A., E. Van Loon, P. Troch, and, C. Paniconi, (2004), The hillslope-storage Boussinesq model for non-constant bedrock slope, J. Hydrol., 291, 160-173.
106. Hodge, A., (2004), The plastic plant: Root responses to heterogeneous supplies of nutrients, New Phytol., 162, 9-24.
107. Huang, H. Y., and, S. A. Margulis, (2009), On the impact of surface heterogeneity on a realistic convective boundary layer, Water Resour. Res., 45, W04425, doi: 10.1029/2008WR007175.
108. Huang, H. Y., and, S. A. Margulis, (2013), Impact of soil moisture heterogeneity length scale and gradients on daytime coupled land-cloudy boundary layer interactions, Hydrol. Processes, 27, 1988-2003.
109. Huntington, T. G., (2006), Evidence for intensification of the global water cycle: Review and synthesis, J. Hydrol., 319, 83-95.
110. Hurrell, J. W., M. Holland, P. Gent, S. Ghan, J. E. Kay, P. Kushner, J.-F. Lamarque, W. Large, D. Lawrence, and, K. Lindsay, (2013), The community earth system model: A framework for collaborative research, Bull. Am. Meteorol. Soc., 94, 1339-1360.
111. Ivanov, V. Y., E. R. Vivoni, R. L. Bras, and, D. Entekhabi, (2004), Catchment hydrologic response with a fully distributed triangulated irregular network model, Water Resour. Res., 40, W11102, doi: 10.1029/2004WR003218.
112. Jackson, R., J. Canadell, J. Ehleringer, H. Mooney, O. Sala, and, E. Schulze, (1996), A global analysis of root distributions for terrestrial biomes, Oecologia, 108, 389-411.
113. Kirchner, J. W., R. P. Hooper, C. Kendall, C. Neal, and, G. Leavesley, (1996), Testing and validating environmental models, Sci. Total Environ., 183, 33-47.
114. Klemes, V., (1983), Conceptualization and scale in hydrology, J. Hydrol., 65, 1-23, doi: 10.1016/0022-1694(83)90208-1.
115. Koirala, S., P. J. F. Yeh, Y. Hirabayashi, S. Kanae, and, T. Oki, (2014), Global-scale land surface hydrologic modeling with the representation of water table dynamics, J. Geophys. Res. Atmos., 119, 75-89, doi: 10.1002/2013JD020398.
116. Kollet, S. J., and, R. M. Maxwell, (2006), Integrated surface-groundwater flow modeling: A free-surface overland flow boundary condition in a parallel groundwater flow model, Adv. Water Resour., 29, 945-958, doi: 10.1016/j.advwatres.2005.08.006.
117. Koren, V., J. Schaake, K. Mitchell, Q. Y. Duan, F. Chen, and, J. Baker, (1999), A parameterization of snowpack and frozen ground intended for NCEP weather and climate models, J. Geophys. Res., 104, 19,569-19,585, doi: 10.1029/1999JD900232.
118. Koster, R. D., and, P. C. D. Milly, (1997), The interplay between transpiration and runoff formulations in land surface schemes used with atmospheric models, J. Clim., 10, 1578-1591, doi: 10.1175/1520-0442(1997)010 <1578:TIBTAR>2.0.CO;2.
119. Koster, R. D., and, M. J. Suarez, (1992), Modeling the land surface boundary in climate models as a composite of independent vegetation stands, J. Geophys. Res., 97, 2697-2715, doi: 10.1029/91JD01696.
120. Koster, R. D., M. J. Suarez, A. Ducharne, M. Stieglitz, and, P. Kumar, (2000), A catchment-based approach to modeling land surface processes in a general circulation model: 1. Model structure, J. Geophys. Res., 105, 24,809-24,822, doi: 10.1029/2000JD900327.
121. Koster, R. D., et al., (2006), GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview, J. Hydrometeorol., 7, 590-610, doi: 10.1175/JHM510.1.
122. Koster, R. D., et al., (2011), The second phase of the Global Land-Atmosphere Coupling Experiment: Soil moisture contributions to subseasonal forecast skill, J. Hydrometeorol., 12, 805-822, doi: 10.1175/2011JHM1365.1.
123. Kowalczyk, E., Y. Wang, R. Law, H. Davies, J. McGregor, and, G. Abramowitz, (2006), The CSIRO Atmosphere Biosphere Land Exchange (CABLE) Model for Use in Climate Models and as an Offline Model, 37 pp., Commonwealth Scientific and Industrial Research Organization, Aspendale, Victoria, Australia.
124. Kraucunas, I., L. Clarke, J. Dirks, J. Hathaway, M. Hejazi, K. Hibbard, M. Huang, C. Jin, M. Kintner-Meyer, and, K. K. van Dam, (2014), Investigating the Nexus of climate, energy, water, and land at decision-relevant scales: The Platform for Regional Integrated Modeling and Analysis (PRIMA), Clim. Change, 129, 573-588.
125. Kuczera, G., and, M. Mroczkowski, (1998), Assessment of hydrologic parameter uncertainty and the worth of multiresponse data, Water Resour. Res., 34, 1481-1489.
126. Kuczera, G., B. Renard, M. Thyer, and, D. Kavetski, (2010), There are no hydrological monsters, just models and observations with large uncertainties!, Hydrol. Sci. J., 55, 980-991, doi: 10.1080/02626667.2010.504677.
127. Kumar, M., C. J. Duffy, and, K. M. Salvage, (2009), A second-order accurate, finite volume-based, integrated hydrologic modeling (FIHM) framework for simulation of surface and subsurface flow, Vadose Zone J., 8, 873-890.
128. Lai, C., and, G. Katul, (2000), The dynamic role of root-water uptake in coupling potential to actual transpiration, Adv. Water Resour., 23, 427-439.
129. Landry, C. C., K. A. Buck, M. S. Raleigh, and, M. P. Clark, (2014), Mountain system monitoring at Senator Beck Basin, San Juan Mountains, Colorado: A new integrative data source to develop and evaluate models of snow and hydrologic processes, Water Resour. Res., 50, 1773-1788, doi: 10.1002/2013WR013711.
130. Lawrence, D. M., et al., (2011), Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model, J. Adv. Model. Earth Syst., 3, M03001, doi: 10.1029/2011MS000045.
131. Lee, D. H., and, L. M. Abriola, (1999), Use of the Richards equation in land surface parameterizations, J. Geophys. Res., 104, 27,519-27,526.
132. Lehner, B., K. Verdin, and, A. Jarvis, (2008), New global hydrography derived from spaceborne elevation data, Eos Trans. AGU, 89, 93-94.
133. Leng, G., M. Huang, Q. Tang, W. J. Sacks, H. Lei, and, L. R. Leung, (2013), Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters, J. Geophys. Res. Atmos., 118, 9789-9803, doi: 10.1002/jgrd.50792.
134. Leng, G., M. Huang, Q. Tang, H. Gao, and, L. R. Leung, (2014), Modeling the effects of groundwater-fed irrigation on terrestrial hydrology over the conterminous United States, J. Hydrometeorol., 15, 957-972.
135. Leonard, L., and, C. J. Duffy, (2014), Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment, Environ. Modell. Software, 61, 174-190.
136. Leung, L. R., M. Huang, Y. Qian, and, X. Liang, (2011), Climate-soil-vegetation control on groundwater table dynamics and its feedbacks in a climate model, Clim. Dyn., 36, 57-81.
137. Li, H., M. S. Wigmosta, H. Wu, M. Huang, Y. Ke, A. M. Coleman, and, L. R. Leung, (2013), A physically based runoff routing model for land surface and earth system models, J. Hydrometeorol., 14, 808-828.
138. Li, H.-Y., L. R. Leung, A. Getirana, M. Huang, H. Wu, Y. Xu, J. Guo, and, N. Voisin, (2015), Evaluating global streamflow simulations by a physically-based routing model coupled with the Community Land Model, J. Hydrometeorol., 16, 948-971, doi: 10.1175/JHM-D-14-0079.1.
139. Liang, X., D. P. Lettenmaier, E. F. Wood, and, S. J. Burges, (1994), A simple hydrologically based model of land-surface water and energy fluxes for General Circulation Models, J. Geophys. Res., 99, 14,415-14,428, doi: 10.1029/94JD00483.
140. Liang, X., E. F. Wood, and, D. P. Lettenmaier, (1996), Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification, Global Planet. Change, 13, 195-206, doi: 10.1016/0921-8181(95)00046-1.
141. Liang, X., Z. Xie, and, M. Huang, (2003), A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model, J. Geophys. Res., 108 (D16), 8613, doi: 10.1029/2002JD003090.
142. Lohmann, D., R. Nolte-Holube, and, E. Raschke, (1996), A large-scale horizontal routing model to be coupled to land surface parametrization schemes, Tellus, Ser. A, 48, 708-721.
143. Lohmann, D., et al., (1998a), The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment: 3. Spatial and temporal analysis of water fluxes, Global Planet. Change, 19, 161-179, doi: 10.1016/s0921-8181(98)00046-0.
144. Lohmann, D., E. Raschke, B. Nijssen, and, D. P. Lettenmaier, (1998b), Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model, Hydrol. Sci. J., 43, 131-141, doi: 10.1080/02626669809492107.
145. Lohmann, D., K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, B. A. Cosgrove, J. Sheffield, Q. Duan, and, L. Luo, (2004), Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project, J. Geophys. Res., 109, D07S91, doi: 10.1029/2003JD003517.
146. Luo, L. F., et al., (2003), Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia, J. Hydrometeorol., 4, 334-351, doi: 10.1175/1525-7541(2003)4 <334:EOFSOS>2.0.CO;2.
147. Luo, Y., J. Randerson, G. Abramowitz, C. Bacour, E. Blyth, N. Carvalhais, P. Ciais, D. Dalmonech, J. Fisher, and, R. Fisher, (2012), A framework of benchmarking land models, Biogeosci., 9, 3857-3874.
148. Mackay, D. S., D. E. Ahl, B. E. Ewers, S. Samanta, S. T. Gower, and, S. N. Burrows, (2003), Physiological tradeoffs in the parameterization of a model of canopy transpiration, Adv. Water Resour., 26, 179-194.
149. Mahrt, L., (1987), Grid-averaged surface fluxes, Mon. Weather Rev., 115, 1550-1560, doi: 10.1175/1520-0493(1987)115 <1550:GASF>2.0.CO;2.
150. Mahrt, L., (2000), Surface heterogeneity and vertical structure of the boundary layer, Boundary Layer Meteorol., 96, 33-62.
151. Manabe, S., (1969), Climate and the ocean circulation: I. The atmospheric circulation and the hydrology of the earth's surface, Mon. Weather Rev., 97, 739-774.
152. Manabe, S., J. Smagorinsky, and, R. F. Strickler, (1965), Simulated climatology of a general circulation model with a hydrologic cycle, Mon. Weather Rev., 93, 769-798.
153. Manoli, G., S. Bonetti, J.-C. Domec, M. Putti, G. Katul, and, M. Marani, (2014), Tree root systems competing for soil moisture in a 3D soil-plant model, Adv. Water Resour., 66, 32-42.
154. Manzoni, S., G. Vico, A. Porporato, and, G. Katul, (2013), Biological constraints on water transport in the soil-plant-atmosphere system, Adv. Water Resour., 51, 292-304, doi: 10.1016/j.advwatres.2012.03.016.
155. Marble, J., and, J. A. Lough, (1997), The storage and aging of continental runoff in large reservoir systems of the world, Ambio, 26, 210-219.
156. Maxwell, R. M., (2010), Infiltration in arid environments: Spatial patterns between subsurface heterogeneity and water-energy balances, Vadose Zone J., 9, 970-983, doi: 10.2136/vzj2010.0014.
157. Maxwell, R. M., and, S. J. Kollet, (2008a), Quantifying the effects of three-dimensional subsurface heterogeneity on Hortonian runoff processes using a coupled numerical, stochastic approach, Adv. Water Resour., 31, 807-817, doi: 10.1016/j.advwatres.2008.01.020.
158. Maxwell, R. M., and, S. J. Kollet, (2008b), Interdependence of groundwater dynamics and land-energy feedbacks under climate change, Nat. Geosci., 1, 665-669, doi: 10.1038/ngeo315.
159. Maxwell, R. M., and, N. L. Miller, (2005), Development of a coupled land surface and groundwater model, J. Hydrometeorol., 6, 233-247, doi: 10.1175/JHM422.1.
160. Maxwell, R. M., F. K. Chow, and, S. J. Kollet, (2007), The groundwater-land-surface-atmosphere connection: Soil moisture effects on the atmospheric boundary layer in fully-coupled simulations, Adv. Water Resour., 30, 2447-2466, doi: 10.1016/j.advwatres.2007.05.018.
161. Maxwell, R. M., J. K. Lundquist, J. D. Mirocha, S. G. Smith, C. S. Woodward, and, A. F. Tompson, (2011), Development of a coupled groundwater-atmosphere model, Mon. Weather Rev., 139, 96-116.
162. Maxwell, R. M., et al., (2014), Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks, Water Resour. Res., 50, 1531-1549, doi: 10.1002/2013WR013725.
163. Maxwell, R. M., L. E. Condon, and, S. J. Kollet, (2015), A high resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3, Geosci. Model Dev., 8, 923-937, doi: 10.5194/gmdd-7-7317-2014.
164. McDonnell, J., et al., (2007), Moving beyond heterogeneity and process complexity: A new vision for watershed hydrology, Water Resour. Res., 43, W07301, doi: 10.1029/2006WR005467.
165. McDowell, N. G., et al., (2013), Evaluating theories of drought-induced vegetation mortality using a multimodel-experiment framework, New Phytol., 200, 304-321, doi: 10.1111/nph.12465.
166. Mendoza, P., M. Clark, M. Barlage, B. Rajagopalan, L. Samaniego, G. Abramowitz, and, H. V. Gupta, (2015), Are we unnecessarily constraining the agility of complex process-based models?, Water Resour. Res., 51, 716-728, doi: 10.1002/2014WR015820.
167. Mersel, M. K., L. C. Smith, K. M. Andreadis, and, M. T. Durand, (2013), Estimation of river depth from remotely sensed hydraulic relationships, Water Resour. Res., 49, 3165-3179, doi: 10.1002/wrcr.20176.
168. Miguez-Macho, G., and, Y. Fan, (2012a), The role of groundwater in the Amazon water cycle: 1. Influence on seasonal streamflow, flooding and wetlands, J. Geophys. Res., 117, D15113, doi: 10.1029/2012JD017539.
169. Miguez-Macho, G., and, Y. Fan, (2012b), The role of groundwater in the Amazon water cycle: 2. Influence on seasonal soil moisture and evapotranspiration, J. Geophys. Res., 117, D15114, doi: 10.1029/2012JD017540.
170. Miguez-Macho, G., Y. Fan, C. P. Weaver, R. Walko, and, A. Robock, (2007), Incorporating water table dynamics in climate modeling: 2. Formulation, validation, and soil moisture simulation, J. Geophys. Res., 112, D13108, doi: 10.1029/2006JD008112.
171. Miller, C. T., C. Abhishek, and, M. W. Farthing, (2006), A spatially and temporally adaptive solution of Richards' equation, Adv. Water Resour., 29, 525-545, doi: 10.1016/j.advwatres.2005.06.008.
172. Milly, P., and, K. A. Dunne, (2011), On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration, Earth Interact., 15, 1-14.
173. Milly, P. C. D., S. L. Malyshev, E. Shevliakova, K. A. Dunne, K. L. Findell, T. Gleeson, Z. Liang, P. Phillipps, R. J. Stouffer, and, S. Swenson, (2014), An enhanced model of land water and energy for global hydrologic and earth-system studies, J. Hydrometeorol., 15, 1739-1761, doi: 10.1175/JHM-D-13-0162.1.
174. Mizumura, K., (2006), Analytical solutions of nonlinear kinematic wave model, J. Hydrol. Eng., 11, 539-546.
175. Mizumura, K., and, Y. Ito, (2010), Analytical solution of nonlinear kinematic wave model with time-varying rainfall, J. Hydrol. Eng., 16, 736-745.
176. Mizumura, K., and, Y. Ito, (2011), Influence of moving rainstorms on overland flow of an open book type using kinematic wave, J. Hydrol. Eng., 16, 926-934.
177. Moore, R., and, R. Clarke, (1981), A distribution function approach to rainfall runoff modeling, Water Resour. Res., 17, 1367-1382, doi: 10.1029/WR017i005p01367.
178. Nazemi, A., and, H. Wheater, (2015a), On inclusion of water resource management in Earth system models-Part 1: Problem definition and representation of water demand, Hydrol. Earth Syst. Sci., 19, 33-61.
179. Nazemi, A., and, H. Wheater, (2015b), On inclusion of water resource management in Earth system models-Part 2: Representation of water supply and allocation and opportunities for improved modeling, Hydrol. Earth Syst. Sci., 19, 63-90.
180. Nearing, G. S., and, H. V. Gupta, (2014), The quantity and quality of information in hydrologic models, Water Resour. Res., 51, 524-538, doi: 10.1002/2014WR015895.
181. Ngo-Duc, T., K. Laval, G. Ramillien, J. Polcher, and, A. Cazenave, (2007), Validation of the land water storage simulated by Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) with Gravity Recovery and Climate Experiment (GRACE) data, Water Resour. Res., 43, W04427, doi: 10.1029/2006WR004941.
182. Nijssen, B., G. M. O'Donnell, D. P. Lettenmaier, D. Lohmann, and, E. F. Wood, (2001), Predicting the discharge of global rivers, J. Clim., 14, 3307-3323, doi: 10.1175/1520-0442(2001)014 <3307:PTDOGR>2.0.CO;2.
183. Nijssen, B., et al., (2003), Simulation of high latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e)-2: Comparison of model results with observations, Global Planet. Change, 38, 31-53, doi: 10.1016/S0921-8181(03)00004-3.
184. Nimmo, J. R., (2010), Theory for source-responsive and free-surface film modeling of unsaturated flow, Vadose Zone J., 9, 295-306.
185. Niu, G.-Y., and, Z. L. Yang, (2006), Effects of frozen soil on snowmelt runoff and soil water storage at a continental scale, J. Hydrometeorol., 7, 937-952, doi: 10.1175/JHM538.1.
186. Niu, G.-Y., Z. L. Yang, R. E. Dickinson, and, L. E. Gulden, (2005), A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models, J. Geophys. Res., 110, D21106, doi: 10.1029/2005JD006111.
187. Niu, G.-Y., Z. L. Yang, R. E. Dickinson, L. E. Gulden, and, H. Su, (2007), Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data, J. Geophys. Res., 112, D07103, doi: 10.1029/2006JD007522.
188. Niu, G.-Y., et al., (2011), The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements, J. Geophys. Res., 116, D12109, doi: 10.1029/2010JD015139.
189. Niu, G.-Y., C. Paniconi, P. A. Troch, R. L. Scott, M. Durcik, X. Zeng, T. Huxman, and, DC Goodrich, (2014), An integrated modelling framework of catchment-scale ecohydrological processes: 1. Model description and tests over an energy-limited watershed, Ecohydrology, 7, 427-439, doi: 10.1002/eco.1362.
190. Noh, J.-H., S.-R. Lee, and, H. Park, (2011), Prediction of cryo-SWCC during freezing based on pore-size distribution, Int. J. Geomech., 12, 428-438, doi: 10.1061/(ASCE)GM.1943-5622.0000134.
191. Norby, R. J., and, R. B. Jackson, (2000), Root dynamics and global change: Seeking an ecosystem perspective, New Phytol., 147, 3-12.
192. Oleson, K. W., et al., (2010), Technical description of version 4.0 of the Community Land Model, NCAR Tech. Note NCAR/TN-478+STR, National Center for Atmospheric Research, Boulder, Colo.
193. Painter, S. L., (2011), Three-phase numerical model of water migration in partially frozen geological media: Model formulation, validation, and applications, Comput. Geosci., 15, 69-85.
194. Panday, S., and, P. S. Huyakorn, (2004), A fully coupled physically-based spatially-distributed model for evaluating surface/subsurface flow, Adv. Water Resour., 27, 361-382.
195. Paniconi, C., P. A. Troch, E. E. van Loon, and, A. G. Hilberts, (2003), Hillslope storage Boussinesq model for subsurface flow and variable source areas along complex hillslopes: 2. Intercomparison with a three dimensional Richards equation model, Water Resour. Res., 39 (11), 1317, doi: 10.1029/2002WR001730.
196. Pappenberger, F., E. Dutra, F. Wetterhall, and, H. Cloke, (2012), Deriving global flood hazard maps of fluvial floods through a physical model cascade, Hydrol. Earth Syst. Sci., 16, 4143-4156.
197. Parker, J., R. Lenhard, and, T. Kuppusamy, (1987), A parametric model for constitutive properties governing multiphase flow in porous media, Water Resour. Res., 23, 618-624.
198. Parlange, J.-Y., C. Rose, and, G. Sander, (1981), Kinematic flow approximation of runoff on a plane: An exact analytical solution, J. Hydrol., 52, 171-176.
199. Pau, G., G. Bisht, and, W. Riley, (2014), A reduced-order modeling approach to represent subgrid-scale hydrological dynamics for land-surface simulations: Application in a polygonal tundra landscape, Geosci. Model Dev., 7, 2091-2105.
200. Pavelsky, T. M., M. T. Durand, K. M. Andreadis, R. E. Beighley, R. C. Paiva, G. H. Allen, and, Z. F. Miller, (2014), Assessing the potential global extent of SWOT river discharge observations, J. Hydrol., 519, 1516-1525.
201. Pedinotti, V., A. Boone, S. Ricci, S. Biancamaria, and, N. Mognard, (2014), Assimilation of satellite data to optimize large-scale hydrological model parameters: A case study for the SWOT mission, Hydrol. Earth Syst. Sci., 18, 4485-4507.
202. Perrin, C., C. Michel, and, V. Andreassian, (2003), Improvement of a parsimonious model for streamflow simulation, J. Hydrol., 279, 275-289, doi: 10.1016/S0022-1694(03)00225-7.
203. Pitman, A., (2003), The evolution of, and revolution in, land surface schemes designed for climate models, Int. J. Climatol., 23, 479-510.
204. Pitman, A., A. Henderson-Sellers, and, Z. Yang, (1990), Sensitivity of regional climates to localized precipitation in global models, Nature, 346, 734-737.
205. Poff, N. L., J. D. Allan, M. B. Bain, J. R. Karr, K. L. Prestegaard, B. D. Richter, R. E. Sparks, and, J. C. Stromberg, (1997), The natural flow regime, BioScience, 47, 769-784.
206. Pokhrel, Y., N. Hanasaki, S. Koirala, J. Cho, P. J.-F. Yeh, H. Kim, S. Kanae, and, T. Oki, (2012), Incorporating anthropogenic water regulation modules into a land surface model, J. Hydrometeorol., 13, 255-269.
207. Powell, T. L., et al., (2013), Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought, New Phytol., 200, 350-365, doi: 10.1111/nph.12390.
208. Qu, Y. Z., and, C. J. Duffy, (2007), A semidiscrete finite volume formulation for multiprocess watershed simulation, Water Resour. Res., 43, W08419, doi: 10.1029/2006WR005752.
209. Quijano, J. C., P. Kumar, D. T. Drewry, A. Goldstein, and, L. Misson, (2012), Competitive and mutualistic dependencies in multispecies vegetation dynamics enabled by hydraulic redistribution, Water Resour. Res., 48, W05518, doi: 10.1029/2011WR011416.
210. Reba, M. L., D. Marks, M. Seyfried, A. Winstral, M. Kumar, and, G. Flerchinger, (2011), A long-term data set for hydrologic modeling in a snow-dominated mountain catchment, Water Resour. Res., 47, W07702, doi: 10.1029/2010WR010030.
211. Riley, W., and, C. Shen, (2014), Characterizing coarse-resolution watershed soil moisture heterogeneity using fine-scale simulations, Hydrol. Earth Syst. Sci., 18, 2463-2483.
212. Rupp, D. E., and, J. S. Selker, (2005), Drainage of a horizontal Boussinesq aquifer with a power law hydraulic conductivity profile, Water Resour. Res., 41, W11422, doi: 10.1029/2005WR004241.
213. Rupp, D. E., and, J. S. Selker, (2006), On the use of the Boussinesq equation for interpreting recession hydrographs from sloping aquifers, Water Resour. Res., 42, W12421, doi: 10.1029/2006WR005080.
214. Sacks, W. J., B. I. Cook, N. Buenning, S. Levis, and, J. H. Helkowski, (2009), Effects of global irrigation on the near-surface climate, Clim. Dyn., 33, 159-175.
215. Samaniego, L., R. Kumar, and, S. Attinger, (2010), Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale, Water Resour. Res., 46, W05523, doi: 10.1029/2008WR007327.
216. Schaake, J. C., V. I. Koren, Q. Y. Duan, K. Mitchell, and, F. Chen, (1996), Simple water balance model for estimating runoff at different spatial and temporal scales, J. Geophys. Res., 101, 7461-7475, doi: 10.1029/95JD02892.
217. Schaefli, B., and, H. V. Gupta, (2007), Do Nash values have value?, Hydrol. Processes, 21, 2075-2080.
218. Schenk, H. J., and, R. B. Jackson, (2002), Rooting depths, lateral root spreads and below-ground/above-ground allometries of plants in water-limited ecosystems, J. Ecol., 90, 480-494.
219. Schymanski, S., M. Sivapalan, M. Roderick, J. Beringer, and, L. Hutley, (2008), An optimality-based model of the coupled soil moisture and root dynamics, Hydrol. Earth Syst. Sci., 12, 913-932.
220. Seibert, J., and, J. J. McDonnell, (2002), On the dialog between experimentalist and modeler in catchment hydrology: Use of soft data for multicriteria model calibration, Water Resour. Res., 38 (11), 1241, doi: 10.1029/2001WR000978.
221. Sellers, P., R. Dickinson, D. Randall, A. Betts, F. Hall, J. Berry, G. Collatz, A. Denning, H. Mooney, and, C. Nobre, (1997), Modeling the exchanges of energy, water, and carbon between continents and the atmosphere, Science, 275, 502-509.
222. Shen, C., and, M. S. Phanikumar, (2010), A process-based, distributed hydrologic model based on a large-scale method for surface-subsurface coupling, Adv. Water Resour., 33, 1524-1541.
223. Shen, C., J. Niu, and, M. S. Phanikumar, (2013), Evaluating controls on coupled hydrologic and vegetation dynamics in a humid continental climate watershed using a subsurface-land surface processes model, Water Resour. Res., 49, 2552-2572, doi: 10.1002/wrcr.20189.
224. Shen, C., J. Niu, and, K. Fang, (2014), Quantifying the effects of data integration algorithms on the outcomes of a subsurface-land surface processes model, Environ. Modell. Software, 59, 146-161.
225. Shi, Y., K. J. Davis, C. J. Duffy, and, X. Yu, (2013), Development of a coupled land surface hydrologic model and evaluation at a critical zone observatory, J. Hydrometeorol., 14, 1401-1420.
226. Shi, Y., K. J. Davis, F. Zhang, and, C. J. Duffy, (2014), Evaluation of the parameter sensitivities of a coupled land surface hydrologic model at a critical zone observatory, J. Hydrometeorol., 15, 279-299.
227. Shuttleworth, W. J., (1988), Macrohydrology-The new challenge for process hydrology, J. Hydrol., 100, 31-56.
228. Simunek, J., N. J. Jarvis, M. T. van Genuchten, and, A. Gardenas, (2003), Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone, J. Hydrol., 272, 14-35, doi: 10.1016/S0022-1694(02)00252-4.
229. Skamarock, W. C., J. B. Klemp, M. G. Duda, L. D. Fowler, S.-H. Park, and, T. D. Ringler, (2012), A multiscale nonhydrostatic atmospheric model using centroidal Voronoi tesselations and C-grid staggering, Mon. Weather Rev., 140, 3090-3105.
230. Smits, K. M., V. V. Ngo, A. Cihan, T. Sakaki, and, T. H. Illangasekare, (2012), An evaluation of models of bare soil evaporation formulated with different land surface boundary conditions and assumptions, Water Resour. Res., 48, W12526, doi: 10.1029/2012WR012113.
231. Sperry, J., U. Hacke, R. Oren, and, J. Comstock, (2002), Water deficits and hydraulic limits to leaf water supply, Plant Cell Environ., 25, 251-263.
232. Sperry, J. S., F. R. Adler, G. S. Campbell, and, J. P. Comstock, (1998), Limitation of plant water use by rhizosphere and xylem conductance: Results from a model, Plant Cell Environ., 21, 347-359.
233. Stöckle, C. O., A. R. Kemanian, R. L. Nelson, J. C. Adam, R. Sommer, and, B. Carlson, (2014), CropSyst model evolution: From field to regional to global scales and from research to decision support systems, Environ. Modell. Software, 62, 361-369.
234. Subin, Z., P. Milly, B. Sulman, S. Malyshev, and, E. Shevliakova, (2014), Resolving terrestrial ecosystem processes along a subgrid topographic gradient for an earth-system model, Hydrol. Earth Syst. Sci. Discuss., 11, 8443-8492.
235. Swenson, S., and, D. Lawrence, (2012), A new fractional snow-covered area parameterization for the Community Land Model and its effect on the surface energy balance, J. Geophys. Res., 117, D21107, doi: 10.1029/2012JD018178.
236. Swenson, S., and, D. Lawrence, (2014), Assessing a dry surface layer-based soil resistance parameterization for the Community Land Model using GRACE and FLUXNET-MTE data, J. Geophys. Res. Atmos., 119, 10,299-10,312, doi: 10.1002/2014JD022314.
237. Swenson, S., D. Lawrence, and, H. Lee, (2012), Improved simulation of the terrestrial hydrological cycle in permafrost regions by the Community Land Model, J. Adv. Model. Earth Syst., 4, M08002, doi: 10.1029/2012MS000165.
238. Takata, K., S. Emori, and, T. Watanabe, (2003), Development of the minimal advanced treatments of surface interaction and runoff, Global Planet. Change, 38, 209-222, doi: 10.1016/s0921-8181(03)00030-4.
239. Taylor, R. G., B. Scanlon, P. Döll, M. Rodell, R. Van Beek, Y. Wada, L. Longuevergne, M. Leblanc, J. S. Famiglietti, and, M. Edmunds, (2013), Ground water and climate change, Nat. Clim. Change, 3, 322-329.
240. Tesfa, T. K., D. G. Tarboton, D. G. Chandler, and, J. P. McNamara, (2009), Modeling soil depth from topographic and land cover attributes, Water Resour. Res., 45, W10438, doi: 10.1029/2008WR007474.
241. Therrien, R., R. McLaren, E. Sudicky, and, S. Panday, (2010), HydroGeoSphere: A Three-Dimensional Numerical Model Describing Fully-Integrated Subsurface and Surface Flow and Solute Transport, Groundwater Simul. Group, Univ. of Waterloo, Waterloo, Ont., Canada.
242. Tocci, M. D., C. Kelley, and, C. T. Miller, (1997), Accurate and economical solution of the pressure-head form of Richards' equation by the method of lines, Adv. Water Resour., 20, 1-14.
243. Troch, P. A., C. Paniconi, and, L. Emiel van, (2003), Hillslope-storage Boussinesq model for subsurface flow and variable source areas along complex hillslopes: 1. Formulation and characteristic response, Water Resour. Res., 39 (11), 1316, doi: 10.1029/2002WR001728.
244. Troch, P. A., A. Berne, P. Bogaart, C. Harman, A. G. Hilberts, S. W. Lyon, C. Paniconi, V. Pauwels, D. E. Rupp, and, J. S. Selker, (2013), The importance of hydraulic groundwater theory in catchment hydrology: The legacy of Wilfried Brutsaert and Jean-Yves Parlange, Water Resour. Res., 49, 5099-5116, doi: 10.1002/wrcr.20407.
245. van den Hurk, B., M. Best, P. Dirmeyer, A. Pitman, J. Polcher, and, J. Santanello, (2011), Acceleration of land surface model development over a decade of GLASS, Bull.Am. Meteorol. Soc., 92, 1593-1600.
246. Van Genuchten, M. T., (1980), A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44 (5), 892-898, doi: 10.2136/sssaj1980.03615995004400050002x.
247. Vanderborght, J., R. Kasteel, M. Herbst, M. Javaux, D. Thiery, M. Vanclooster, C. Mouvet, and, H. Vereecken, (2005), A set of analytical benchmarks to test numerical models of flow and transport in soils, Vadose Zone J., 4, 206-221.
248. VanderKwaak, J. E., and, K. Loague, (2001), Hydrologic-response simulations for the R-5 catchment with a comprehensive physics-based model, Water Resour. Res., 37, 999-1013, doi: 10.1029/2000WR900272.
249. Vaze, J., D. Post, F. Chiew, J.-M. Perraud, N. Viney, and, J. Teng, (2010), Climate non-stationarity-validity of calibrated rainfall-runoff models for use in climate change studies, J. Hydrol., 394, 447-457.
250. Verant, S., K. Laval, J. Polcher, and, M. De Castro, (2004), Sensitivity of the continental hydrological cycle to the spatial resolution over the Iberian Peninsula, J. Hydrometeorol., 5, 267-285.
251. Vivoni, E. R., V. Y. Ivanov, R. L. Bras, and, D. Entekhabi, (2004), Generation of triangulated irregular networks based on hydrological similarity, J. Hydrol. Eng., 9, 288-302, doi: 10.1061/(ASCE)1084-0699(2004)9:4(288).
252. Vivoni, E. R., V. Teles, V. Y. Ivanov, R. L. Bras, and, D. Entekhabi, (2005), Embedding landscape processes into triangulated terrain models, Int. J. Geogr. Inf. Sci., 19, 429-457, doi: 10.1080/13658810512331325111.
253. Voisin, N., H. Li, D. Ward, M. Huang, M. Wigmosta, and, L. Leung, (2013a), On an improved sub-regional water resources management representation for integration into earth system models, Hydrol. Earth Syst. Sci., 17, 3605-3622.
254. Voisin, N., L. Liu, M. Hejazi, T. Tesfa, H. Li, M. Huang, Y. Liu, and, L. Leung, (2013b), One-way coupling of an integrated assessment model and a water resources model: Evaluation and implications of future changes over the US Midwest, Hydrol. Earth Syst. Sci., 17, 4555-4575.
255. Wagener, T., M. Sivapalan, P. Troch, and, R. Woods, (2007), Catchment classification and hydrologic similarity, Geogr. Compass, 1, 901-931.
256. Walko, R. L., et al., (2000), Coupled atmosphere-biophysics-hydrology models for environmental modeling, J. Appl. Meteorol., 39, 931-944, doi: 10.1175/1520-0450(2000)039 <0931:CABHMF>2.0.CO;2.
257. Wang, Y.-P., and, R. Leuning, (1998), A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy. I: Model description and comparison with a multi-layered model, Agric. For. Meteorol., 91, 89-111, doi: 10.1016/S0168-1923(98)00061-6.
258. Wang, Y.-P., E. Kowalczyk, R. Leuning, G. Abramowitz, M. R. Raupach, B. Pak, E. van Gorsel, and, A. Luhar, (2011), Diagnosing errors in a land surface model (CABLE) in the time and frequency domains, J. Geophys. Res., 116, G01034, doi: 10.1029/2010JG001385.
259. Weiler, M., (2005), An infiltration model based on flow variability in macropores: Development, sensitivity analysis and applications, J. Hydrol., 310, 294-315.
260. Western, A. W., R. B. Grayson, G. Blöschl, G. R. Willgoose, and, T. A. McMahon, (1999), Observed spatial organization of soil moisture and its relation to terrain indices, Water Resour. Res., 35, 797-810.
261. Wigmosta, M. S., and, D. P. Lettenmaier, (1999), A comparison of simplified methods for routing topographically driven subsurface flow, Water Resour. Res., 35, 255-264, doi: 10.1029/1998WR900017.
262. Williams, M., B. E. Law, P. M. Anthoni, and, M. H. Unsworth, (2001), Use of a simulation model and ecosystem flux data to examine carbon-water interactions in ponderosa pine, Tree physiol., 21, 287-298.
263. Wood, E. F., D. P. Lettenmaier, and, V. G. Zartarian, (1992), A land surface hydrology parameterization with sub grid variability for general circulation models, J. Geophys. Res., 97, 2717-2728, doi: 10.1029/91JD01786.
264. Wood, E. F., and Coauthors (2012), Reply to comment by Keith J. Beven and Hannah L. Cloke on "Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water", Water Resour. Res., 48, W01802, doi: 10.1029/2011WR011202.
265. Wu, H., J. S. Kimball, H. Li, M. Huang, L. R. Leung, and, R. F. Adler, (2012), A new global river network database for macroscale hydrologic modeling, Water Resour. Res., 48, W09701, doi: 10.1029/2012WR012313.
266. Wu, W., (2008), Computational River Dynamics, CRC Press, Leiden, Netherlands.
267. Xia, Y., K. Mitchell, M. Ek, B. Cosgrove, J. Sheffield, L. Luo, C. Alonge, H. Wei, J. Meng, and, B. Livneh, (2012a), Continental-scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS-2): 2. Validation of model-simulated streamflow, J. Geophys. Res., 117, D03110, doi: 10.1029/2011JD016051.
268. Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. Wood, L. Luo, C. Alonge, H. Wei, and, J. Meng, (2012b), Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products, J. Geophys. Res., 117, D03109, doi: 10.1029/2011JD016048.
269. Yamazaki, D., S. Kanae, H. Kim, and, T. Oki, (2011), A physically based description of floodplain inundation dynamics in a global river routing model, Water Resour. Res., 47, W04501, doi: 10.1029/2010WR009726.
270. Yamazaki, D., H. Lee, D. E. Alsdorf, E. Dutra, H. Kim, S. Kanae, and, T. Oki, (2012), Analysis of the water level dynamics simulated by a global river model: A case study in the Amazon River, Water Resour. Res., 48, W09508, doi: 10.1029/2012WR011869.
271. Yamazaki, D., G. A. Almeida, and, P. D. Bates, (2013), Improving computational efficiency in global river models by implementing the local inertial flow equation and a vector-based river network map, Water Resour. Res., 49, 7221-7235, doi: 10.1002/wrcr.20552.
272. Yeh, P. J., and, E. A. Eltahir, (2005a), Representation of water table dynamics in a land surface scheme. Part I: Model development, J. Clim., 18, 1861-1880.
273. Yeh, P. J., and, E. A. Eltahir, (2005b), Representation of water table dynamics in a land surface scheme. Part II: Subgrid variability, J. Clim., 18, 1881-1901.
274. Yilmaz, K. K., H. V. Gupta, and, T. Wagener, (2008), A process-based diagnostic approach to model evaluation: Application to the NWS distributed hydrologic model, Water Resour. Res., 44, W09417, doi: 10.1029/2007WR006716.
275. Yu, X., C. Duffy, DC Baldwin, and, H. Lin, (2014), The role of macropores and multi-resolution soil survey datasets for distributed surface-subsurface flow modeling, J. Hydrol., 516, 97-106.
276. Zea-Cabrera, E., Y. Iwasa, S. Levin, and, I. Rodríguez-Iturbe, (2006), Tragedy of the commons in plant water use, Water Resour. Res., 42, W06D02, doi: 10.1029/2005WR004514.
277. Zektser, S., H. A. Loáiciga, and, J. Wolf, (2005), Environmental impacts of groundwater overdraft: Selected case studies in the southwestern United States, Environ. Geol., 47, 396-404.
278. Zeng, X., (2001), Global vegetation root distribution for land modeling, J. Hydrometeorol., 2, 525-530.
279. Zeng, X., and, M. Decker, (2010), Reply, J. Hydrometeorol., 11, 1051-1054.
280. Zeng, X., Y. J. Dai, R. E. Dickinson, and, M. Shaikh, (1998), The role of root distribution for climate simulation over land, Geophys. Res. Lett., 25, 4533-4536.
281. Zeng, X. B., and, M. Decker, (2009), Improving the numerical solution of soil moisture-based Richards equation for Land Models with a deep or shallow water table, J. Hydrometeorol., 10, 308-319, doi: 10.1175/2008JHM1011.1.
282. Zeng, Y., Z. Su, L. Wan, and, J. Wen, (2011), Numerical analysis of air-water-heat flow in unsaturated soil: Is it necessary to consider airflow in land surface models?, J. Geophys. Res., 116, D20107, doi: 10.1029/2011JD015835.