An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

Journal of Hydrology

Volumn 537, Issue , 2016, Pages 45-60

  Fatichi, Simone ^a   Vivoni, Enrique R ^b   Ogden, Fred L ^c   Ivanov, Valeriy Y ^d   Mirus, Benjamin ^e   Gochis, David ^f   Downer, Charles W ^g   Camporese, Matteo ^h   Davison, Jason H ⁱ   Ebel, Brian ^j   Jones, Norm ^k   Kim, Jongho ^d,l   Mascaro, Giuseppe ^m   Niswonger, Richard ⁿ   Restrepo, Pedro ^o   Rigon, Riccardo ^p   Shen, Chaopeng ^q   Sulis, Mauro ^r   Tarboton, David ^s  

^a ETH ZURICH   (Switzerland)

^b ARIZONA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF WYOMING   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

^e U S GEOLOGICAL SURVEY   (United States)

^f NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^g US ARMY ENGINEER RESEARCH AND DEVELOPMENT CENTER   (United States)

^h UNIVERSITY OF PADOVA   (Italy)

ⁱ UNIVERSITY OF WATERLOO   (Canada)

^j DENVER FEDERAL CENTER   (United States)

^k BRIGHAM YOUNG UNIVERSITY   (United States)

^l Sejong University   (South Korea)

^m ARIZONA STATE UNIVERSITY   (United States)

ⁿ U S GEOLOGICAL SURVEY   (United States)

^o NOAA/National Weather Service   (United States)

^p UNIVERSITY OF TRENTO   (Italy)

^q The Pennsylvania State University   (United States)

^r UNIVERSITY OF BONN   (Germany)

^s Utah State University   (United States)

more..

Author keywords

Change assessments; Interdisciplinary; Modeling; Natural and built environment; Virtual experiments; Watershed processes

Indexed keywords

COMPUTATIONAL COMPLEXITY; EARTH (PLANET); GROUNDWATER; GROUNDWATER FLOW; GROUNDWATER POLLUTION; MODELS; RUNOFF; SOIL MOISTURE; VIRTUAL REALITY;

BUILT ENVIRONMENT; CHANGE ASSESSMENTS; INTERDISCIPLINARY; VIRTUAL EXPERIMENTS; WATERSHED PROCESS;

HYDROLOGY;

ASSESSMENT METHOD; DATA ACQUISITION; ENVIRONMENTAL CONDITIONS; EXPERIMENTAL STUDY; FUTURE PROSPECT; GROUNDWATER FLOW; HYDROLOGICAL MODELING; INTERDISCIPLINARY APPROACH; PARAMETERIZATION; RUNOFF; UNCERTAINTY ANALYSIS; WATERSHED;

EID: 84961741436     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2016.03.026     Document Type: Review

References (290)

1. Abbott M.B., Bathurst J.C., Cunge J.A., O'Connell P.E., Rasmussen J. An introduction to the European hydrologic system-systeme hydrologique Europeen, SHE, 1: history and philosophy of a physically-based, distributed modeling system. J. Hydrol. 1986, 87:45-59.
2. Ajami N.K., Duan Q., Sorooshian S. An integrated hydrologic Bayesian multimodel combination framework: confronting input, parameter, and model structural uncertainty in hydrologic prediction. Water Resour. Res. 2007, 43:W01403. 10.1029/2005WR004745.
3. Allen G.H., Pavelsky T.M. Patterns of river width and surface area revealed by the satellite-derived North American River Width data set. Geophys. Res. Lett. 2015, 42:395-402. 10.1002/2014GL062764.
4. An H., Ichikawa Y., Tachikawa Y., Shiiba M. Three-dimensional finite difference saturated-unsaturated flow modeling with nonorthogonal grids using a coordinate transformation method. Water Resour. Res. 2010, 46:W11521. 10.1029/2009WR009024.
5. Anagnostopoulos G.G., Fatichi S., Burlando P. An advanced process-based distributed model for the investigation of rainfall-induced landslides: the effect of process representation and boundary conditions. Water Resour. Res. 2015, 51. 10.1002/2015WR016909.
6. Anderson S.P., Bales R.C., Duffy C.J. Critical zone observatories: building a network to advance interdisciplinary study of Earth surface processes. Mineral. Mag. 2008, 72:7-10.
7. Bachmat Y., Bear J. On the concept and size of a representative elementary volume (REV). Advances in Transport Phenomena in Porous Media 1987, 5-20. Martinus Nijhoff, Dordrecht, The Netherlands.
8. Bahremand A. Advocating process modeling and de-emphasizing parameter estimation. Hydrol. Earth Syst. Sci. Discuss. 2015, 12:12377-12393. 10.5194/hessd-12-12377-2015.
9. Banks E.W., Brunner P., Simmons C.T. Vegetation controls on variably saturated processes between surface water and groundwater and their impact on the state of connection. Water Resour. Res. 2011, 47:W11517. 10.1029/2011WR010544.
10. Baum, R.L., Godt, J.W., Savage, W.Z., 2008. TRIGRS-A Fortran Program for Transient Rainfall Infiltration and Grid-based Regional Slope-Stability Analysis, Version 2.0: U.S. Geological Survey Open-File Report, 2008-1159, pp. 75.
11. Bearup L.A., Maxwell R.M., Clow D.W., McCray J.E. Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds. Nat. Clim. Change 2014, 4(6):481.
12. Benettin P., van der Velde Y., van der Zee S.E.A.T.M., Rinaldo A., Botter G. Chloride circulation in a lowland catchment and the formulation of transport by travel time distributions. Water Resour. Res. 2013, 49:4619-4632. 10.1002/wrcr.20309.
13. Bertoldi G., Rigon R., Over T.M. Impact of watershed geomorphic characteristics on the energy and water budgets. J. Hydrometeorol. 2006, 7(3):389-394.
14. Beven K.J. Changing ideas in hydrology - the case of physically-based models. J. Hydrol. 1989, 105:157-172.
15. Beven K.J. How far can we go in distributed hydrological modelling?. Hydrol. Earth Syst. Sci. 2001, 5:1-12.
16. Beven K.J. Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system. Hydrol. Process. 2002, 16:189-206.
17. Beven K.J. On undermining the science?. Hydrol. Process. 2006, 20:3141-3146.
18. Beven K.J. On doing better hydrological science. Hydrol. Process. 2008, 22:3549-3553.
19. Beven K.J., Cloke H.L. 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. 2012, 48:W01801. 10.1029/2011WR010982.
20. Beven K., Germann P. Macropores and water flow in soils revisited. Water Resour. Res. 2013, 49. 10.1002/wrcr.20156.
21. Beven K.J., Freer J. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the glue methodology. J. Hydrol. 2001, 249:11-29.
22. Bhatt G., Kumar M., Duffy C.J. A tightly coupled GIS and distributed hydrologic modeling framework. Environ. Modell. Softw. 2014, 62:70-84. 10.1016/j.envsoft.2014.08.003.
23. Bierkens M.F.P., Bell V.A., Burek P., Chaney N., Condon L., David C.H., de Roo A., Döll P., Drost N., Famiglietti J.S., Flörke M., Gochis D.J., Houser P., Hut R., Keune J., Kollet S., Maxwell R., Reager J.T., Samaniego L., Sudicky E., Sutanudjaja E.H., van de Giesen N., Winsemius H., Wood E.F. Hyper-resolution global hydrological modelling: what is next?. Hydrol. Process. 2015, 29:310-320.
24. Blackmarr, W.A., 1995. Documentation of Hydrologic, Geomorphic, and Sediment Transport Measurements on the Goodwin Creek Experimental Watershed, Northern Mississippi, for the Period 1982-1993. Research Report, Agricultural Research Service, U.S. Department of Agriculture, Washington, D.C.
25. Bomblies A., Duchemin J.B., Eltahir E.A.B. Hydrology of malaria: model development and application to a Sahelian village. Water Resour. Res. 2008, 44(12):W12445. 10.1029/2008WR006917.
26. Bonetti S., Manoli G., Domec J.-C., Putti M., Marani M., Katul G.G. The influence of water table depth and the free atmospheric state on convective rainfall predisposition. Water Resour. Res. 2015, 51:2283-2297. 10.1002/2014WR016431.
27. Bras, R.L., 2009. Hydrology: No Longer the Forgotten Science. American Geophysical Union, Fall Meeting, Abstract H23K-02.
28. Bras R.L., Tucker G.E., Teles V. Six myths about mathematical modeling in geomorphology. Prediction in Geomorphology 2003, vol. 135:63-83. American Geophysical Union Monograph, Washington.
29. Bras R., Eagleson P.S. Hydrology, the forgotten Earth science. EOS 1987, 68:227.
30. Brutsaert W.H. Hydrology: An Introduction 2005, Cambridge Univ. Press, Cambridge.
31. Camporese M., Paniconi C., Putti M., Salandin P. Ensemble Kalman filter data assimilation for a process-based catchment scale model of surface and subsurface flow. Water Resour. Res. 2009, 45:W10421. 10.1029/2008WR007031.
32. Camporese M., Paniconi C., Putti M., Salandin P. Comparison of data assimilation techniques for a coupled model of surface and subsurface flow. Vadose Zone J. 2009, 8:837-845. 10.2136/vzj2009.0018.
33. Camporese M., Paniconi C., Putti M., Orlandini S. Surface-subsurface flow modeling with path-based runoff routing, boundary condition-based coupling, and assimilation of multisource observation data. Water Resour. Res. 2010, 46:W02512. 10.1029/2008WR007536.
34. Camporese M., Daly E., Dresel P.E., Webb J.A. Simplified modeling of catchment-scale evapotranspiration via boundary condition switching. Adv. Water Resour. 2014, 69:95-105. 10.1016/j.advwatres.2014.04.008.
35. Camporese M., Penna D., Borga M., Paniconi C. A field and modeling study of nonlinear storage-discharge dynamics for an Alpine headwater catchment. Water Resour. Res. 2014, 50:806-822. 10.1002/2013WR013604.
36. Camporese M., Daly E., Paniconi C. Catchment-scale Richards equation-based modeling of evapotranspiration via boundary condition switching and root water uptake schemes. Water Resour. Res. 2015, 51:5756-5771. 10.1002/2015WR017139.
37. Castelletti A., Galelli S., Ratto M., Soncini-Sessa R., Young P. A general framework for dynamic emulation modelling in environmental problems. Environ. Modell. Softw. 2012, 34:5-18.
38. Clark M.P., Kavetski D., Fenicia F. Pursuing the method of multiple working hypotheses for hydrological modeling. Water Resour. Res. 2011, 47:W09301. 10.1029/2010WR009827.
39. Clark M.P., Fan Y., Lawrence D.M., Adam J.C., Bolster D., Gochis D.J., Hooper R.P., Kumar M., Leung L.R., Mackay D.S., Maxwell R.M., Shen C., Swenson S.C., Zeng X. Improving the representation of hydrologic processes in Earth system models. Water Resour. Res. 2015, 51:5929-5956. 10.1002/2015WR017096.
40. Condon L.E., Maxwell R.M., Gangopadhyay S. The impact of subsurface conceptualization on land energy fluxes. Adv. Water Resour. 2013, 60:188-203.
41. Crawford N., Linsley R. Digital Simulation on Hydrology: Stanford Watershed Model IV, Tech. Rep. 39 1966, Stanford Univ., Palo Alto, CA.
42. Crowder D.W., Diplas P. Vorticity and circulation: spatial metrics for evaluating flow complexity in stream habitats. Can. J. Fish. Aquat. Sci. 2002, 59(4):633-645.
43. Crowder D.W., Diplas P. Applying spatial hydraulic principles to quantify stream habitat. River Res. Appl. 2006, 22(1):79-89.
44. Dall'Amico M., Endrizzi S., Gruber S., Rigon R. A robust and energy-conserving model of freezing variably-saturated soil. Cryosphere 2011, 5:469-484.
45. Davison J.H., Hwang H.-T., Sudicky E.A., Lin J.C. Coupled atmospheric, land surface, and subsurface modeling: exploring water and energy feedbacks in three-dimensions. Adv. Water Resour. 2015, 86(A):73-85. 10.1016/j.advwatres.2015.09.002.
46. Della Chiesa S., Bertoldi G., Niedrist G., Obojes N., Endrizzi S., Albertson J.D., Wohlfahrt G., Hörtnagl L., Tappeiner U. Modelling changes in grassland hydrological cycling along an elevational gradient in the Alps. Ecohydrology 2014, 7:1453-1473. 10.1002/eco.1471.
47. Downer C.W., Ogden F.L. GSSHA: a model for simulating diverse streamflow generating processes. J. Hydrol. Eng. 2004, 9(3):161-174.
48. Downer C.W., Skahill B.E., Graulau-Santiago J.A., Weston D., Pradhan N.R., Byrd A.R. Gridded Surface Subsurface Hydrologic Analysis Modeling for Analysis of Flood Design Features at the Picayune Strand Restoration Project, ERDC/CHL TR-15-X 2015, U.S. Army Engineer Research and Development Center, Vicksburg, MS.
49. Drewry D.T., Kumar P., Long S., Bernacchi C., Liang X.-Z., Sivapalan M. Ecohydrological responses of dense canopies to environmental variability: 1. Interplay between vertical structure and photosynthetic pathway. J. Geophys. Res. 2010, 115:G04022. 10.1029/2010JG001340.
50. Eagleson P.S. Hydrologic science - a distinct geoscience. Rev. Geophys. 1991, 29(2):237-248.
51. Ebel B.A., Loague K. Physics-based hydrologic response simulation: seeing through the fog of equifinality. Hydrol. Process. 2006, 20:2887-2900. 10.1002/hyp.6388.
52. Ebel B.A., Mirus B.B. Disturbance hydrology: challenges and opportunities. Hydrol. Process. 2014, 28:5140-5148. 10.1002/hyp.10256.
53. Ebel B.A., Loague K., Dietrich W.E., Montgomery D.R., Torres R., Anderson S.P., Giambelluca T.W. Near-surface hydrologic response for a steep, unchanneled catchment near Coos Bay, Oregon: 1. Sprinkling experiments. Am. J. Sci. 2007, 307:678-708. 10.2475/04.2007.02.
54. Ebel B.A., Loague K., VanderKwaak J.E., Dietrich W.E., Montgomery D.R., Torres R., Anderson S.P. Near-surface hydrologic response for a steep, unchanneled catchment near Coos Bay, Oregon: 2. Physics-based simulations. Am. J. Sci. 2007, 307:709-748. 10.2475/04.2007.03.
55. Ebel B.A., Mirus B.B., Heppner C.S., VanderKwaak J.E., Loague K. First-order exchange coefficient coupling for simulating surface water-groundwater interactions: parameter sensitivity and consistency with a physics-based approach. Hydrol. Process. 2009, 23(13):1949-1959.
56. Ebel B.A., Loague K., Montgomery D.R., Dietrich W.E. Physics-based continuous simulation of long-term near-surface hydrologic response for the Coos Bay experimental catchment. Water Resour. Res. 2008, 44:W07417. 10.1029/2007WR006442.
57. Ek M., Holtlsag B. Influence of soil moisture on boundary layer cloud development. J. Hydrometeorol. 2004, 5(1):86-99.
58. Eller P.R., Cheng J.R., Byrd A., Downer C.W., Pradhan N. Development of a Parallel GSSHA. ERDC TR-13-8 2013, U.S. Army Engineer Research and Development Center, Vicksburg, MS.
59. Endrizzi S., Gruber S., Dall'Amico M., Rigon R. 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. 2014, 7:2831-2857.
60. Ewen J., Parkin G., O'Connell P.E. SHETRAN: distributed river basin flow and transport modeling system. J. Hydrol. Eng. 2000, 5(3):250-258.
61. Falter D., Schröter K., Dung N.V., Vorogushyn S., Kreibich H., Hundecha Y., Apel H., Merz B. Spatially coherent flood risk assessment based on long-term continuous simulation with a coupled model chain. J. Hydrol. 2015, 524:182-193.
62. Fatichi S., Ivanov V.Y., Caporali E. 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. 2012, 4:M05002. 10.1029/2011MS000086.
63. Fatichi S., Ivanov V.Y., Caporali E. A mechanistic ecohydrological model to investigate complex interactions in cold and warm water-controlled environments: 2. Spatiotemporal analyses. J. Adv. Model. Earth Syst. 2012, 4:M05003. 10.1029/2011MS000087.
64. Fatichi S., Zeeman M.J., Fuhrer J., Burlando P. Ecohydrological effects of management on subalpine grasslands: from local to catchment scale. Water Resour. Res. 2014, 50:148-164.
65. Fatichi S., Katul G.G., Ivanov V.Y., Pappas C., Paschalis A., Consolo A., Kim J., Burlando P. Abiotic and biotic controls of soil moisture spatio-temporal variability and the occurrence of hysteresis. Water Resour. Res. 2015, 10.1002/2014WR016102.
66. Fatichi S., Rimkus S., Burlando P., Bordoy R., Molnar P. High-resolution distributed analysis of climate and anthropogenic changes on the hydrology of an Alpine catchment. J. Hydrol. 2015, 525:362-382. 10.1016/j.jhydrol.2015.03.036.
67. Flato G.M. Earth system models: an overview. WIREs Clim. Change 2011, 2:783-800. 10.1002/wcc.148.
68. Forman B.A., Vivoni E.R., Margulis S.A. Evaluation of ensemble-based distributed hydrologic model response with disaggregated precipitation products. Water Resour. Res. 2008, 44:W12410. 10.1029/2008WR006983.
69. Formetta G., Antonello A., Franceschi S., David O., Rigon R. Hydrological modelling with components: a GIS-based open-source framework. Environ. Modell. Softw. 2014, 55:190-200.
70. Frasson R.P.M., Krajewski W.F. Rainfall interception by maize canopy: development and application of a process-based model. J. Hydrol. 2013, 489:246-255.
71. Freeze R.A., Harlan R.L. Blueprint for a physically-based digitally simulated, hydrologic response model. J. Hydrol. 1969, 9:237-258.
72. Gamow G. The origin of elements and the separation of galaxies. Phys. Rev. 1948, 74(4):505-506.
73. Garen D.C., Moore D.S. Curve number hydrology in water quality modeling: uses, abuses, and future directions. J. Am. Water Resour. Assoc. 2005, 41(2):377-388.
74. Gasper F., Goergen K., Shrestha P., Sulis M., Rihani J., Geimer M., Kollet S. Implementation and scaling of the fully coupled Terrestrial Systems Modeling Platform (TerrSysMP v1.0) in a massively parallel supercomputing environment - a case study on JUQUEEN (IBM Blue Gene/Q). Geosci. Model Dev. 2014, 7:2531-2543.
75. Gerke H.H., van Genuchten M.Th. A dual-porosity model for simulating the preferential movement of water and solutes in structured porous media. Water Resour. Res. 1993, 29:305-319.
76. Gerwin W., Schaaf W., Biemelt D., Fischer A., Winter S., Hüttl R.F. The artificial catchment "Chicken Creek" (Lusatia, Germany) - a landscape laboratory for interdisciplinary studies of initial ecosystem development. Ecol. Eng. 2009, 35:1786-1796.
77. Gleeson T., Smith L., Moosdorf N., Hartmann J., Dürr H.H., Manning A.H., van Beek L.P.H., Jellinek A.M. Mapping permeability over the surface of the Earth. Geophys. Res. Lett. 2011, 38:L02401. 10.1029/2010GL045565.
78. Gleeson T., Wada Y., Bierkens M.F.P., van Beek L.P.H. Water balance of global aquifers revealed by groundwater footprint. Nature 2012, 488:197-200.
79. Gleeson T., Moosdorf N., Hartmann J., van Beek L.P.H. A glimpse beneath Earth's surface: GLobal HYdrogeology MaPS (GLHYMPS) of permeability and porosity. Geophys. Res. Lett. 2014, 41:3891-3898. 10.1002/2014GL059856.
80. Gochis, D.J., Yu, W., Yates, D.N., 2014. The WRF-Hydro Model Technical Description and User's Guide, Version 2.0. NCAR Technical Document. 120 pages. Documentation, Model Code and ArcGIS Pre-processing Tools available online at: http://www.ral.ucar.edu/projects/wrf_hydro/.
81. Gochis, D.J., Cosgrove, B., Yu, W., Clark, E., Yates, D., Dugger, A., McCreight, J., Pan, L., Zhang, Y., Rafeei-Nasab, A., Karsten, L., Cline, D., Sampson, K., Newman, A., Wood, A., Win-Gildenmeister, M., 2015. Operational, Hyper-Resolution Hydrologic Modeling Over the Contiguous U.S. using the Multi-scale, Multi-physics WRF-Hydro Modeling and Data Assimilation System. Abstract H52A-02, American Geophysical Union Fall Meeting, San Francisco, CA, USA.
82. Goodrich D.C., Lane L.J., Shillito R.M., Miller S.N., Syed K.H., Wooliser D.A. Linearity of basin response as a function of scale in a semiarid watershed. Water Resour. Res. 1997, 33(12):2951-2966.
83. Grathwohl P., Rügner H., Wöhling T., Osenbrück K., Schwientek M., Gayler S., Wollschläger U., Selle B., Pause M., Delfs J.-O., Grzeschik M., Weller U., Ivanov M., Cirpka O.A., Maier U., Kuch B., Nowak W., Wulfmeyer V., Warrach-Sagi K., Streck T., Attinger S., Bilke L., Dietrich P., Fleckenstein J.H., Kalbacher T., Kolditz O., Rink K., Samaniego L., Vogel H.-J., Werban U., Teutsch G. Catchments as reactors: a comprehensive approach for water fluxes and solute turnover. Environ. Earth Sci. 2013, 69(2):317-333.
84. Gray W.G., Hassanizadeh S. Paradoxes and realities in unsaturated flow theory. Water Resour. Res. 1991, 27(8):1847-1854.
85. Grayson R.B., Moore I.D., McMahon T.A. Physically-based hydrologic modeling. 2. Is the concept realistic?. Water Resour. Res. 1992, 28:2659-2666.
86. Gupta H.V., Nearing G.S. 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. Water Resour. Res. 2014, 50:5351-5359. 10.1002/2013WR015096.
87. Guswa A.J., Brauman K.A., Brown C., Hamel P., Keeler B.L., Stratton Sayre S. Ecosystem services: challenges and opportunities for hydrological modeling to support decision making. Water Resour. Res. 2014, 50(5):4535-4544.
88. Hatzilacou D., Kallis G., Mexa A., Coccosis H., Svoronou E. Scenario workshops: a useful method for participatory water resources planning?. Water Resour. Res. 2007, 43:W06414. 10.1029/2006WR004878.
89. Held I.M., Soden B.J. Robust responses of the hydrological cycle to global warming. J. Clim. 2006, 19:5686-5699.
90. Heppner C.S., Loague K., VanderKwaak J.E. Long-term InHM simulations of hydrologic response and sediment transport for the R-5 catchment. Earth Surf. Process. Landforms 2007, 32:1273-1292.
91. Hill M.C., Tiedeman C.R. Effective Groundwater Model Calibration: With Analysis of Data, Sensitivities, Predictions, and Uncertainty 2007, Wiley and Sons, New York.
92. Hinnell A.C., Ferré T.P.A., Vrugt J.A., Huisman J.A., Moysey S., Rings J., Kowalsky M.B. Improved extraction of hydrologic information from geophysical data through coupled hydrogeophysical inversion. Water Resour. Res. 2010, 46:W00D40. 10.1029/2008WR007060.
93. Hobbie J.E., Carpenter S.R., Grimm N.B., Gosz J.R., Seastedt T.R. The US long term ecological research program. Bioscience 2003, 53:21-32.
94. Holländer H.M., Blume T., Bormann H., Buytaert W., Chirico G.B., Exbrayat J.-F., Gustafsson D., Hölzel H., Kraft P., Stamm C., Stoll S., Blöschl G., Flühler H. Comparative predictions of discharge from an artificial catchment (Chicken Creek) using sparse data. Hydrol. Earth Syst. Sci. 2009, 13:2069-2094.
95. Hopp L., Harman C., Desilets S.L.E., Graham C.B., McDonnell J.J., Troch P.A. Hillslope hydrology under glass: confronting fundamental questions of soil-water-biota co-evolution at Biosphere 2. Hydrol. Earth Syst. Sci. 2009, 13:2105-2118.
96. Hornbeck J.W., Adams M.B., Corbett E.S., Verry E.S., Lynch J.A. Long-term impacts of forest treatments on water yield: a summary for northeastern USA. J. Hydrol. 1993, 150:323-344.
97. Hubbard S.S., Rubin Y. Hydrogeological parameter estimation using geophysical data: a review of selected techniques. J. Contam. Hydrol. 2000, 45(1-2):3-34.
98. Hughes J.D., White J.T. Use of general purpose graphics processing units with MODFLOW. Groundwater 2013, 51(6):833-846.
99. Huntington J.L., Niswonger R.G. Role of surface-water and groundwater interactions on projected summertime streamflow in snow dominated regions: an integrated modeling approach. Water Resour. Res. 2012, 48:W11524. 10.1029/2012WR012319.
100. Huxman T., Troch P., Chorover J., Breshears D.D., Saleska S., Pelletier X.Z.J., Espeleta J. The hills are alive: Earth science in a controlled environment. Eos Trans. AGU 2009, 34(90):120.
101. Hwang H.-T., Park Y.-J., Sudicky E.A., Forsyth P.A. A parallel computational framework to solve flow and transport in integrated surface-subsurface hydrologic systems. Environ. Modell. Softw. 2014, 61:39-58.
102. Hwang H.-T., Park Y.-J., Frey S.K., Berg S.J., Sudicky E.A. A simple iterative method for estimating evapotranspiration with integrated surface/subsurface flow models. J. Hydrol. 2015, 531(3):949-959. 10.1016/j.jhydrol.2015.10.003.
103. Hwang T., Band L.E., Vose J.M., Tague C. Ecosystem processes at the watershed scale: hydrologic vegetation gradient as an indicator for lateral hydrologic connectivity of headwater catchments. Water Resour. Res. 2012, 48:W06514. 10.1029/2011WR011301.
104. Hyndman D.W., Day-Lewis F.D., Singha K. Subsurface hydrology: data integration for properties and processes. Am. Geophys. Union Monogr. 2007, 171:253.
105. Ivanov V.Y., Fatichi S., Jenerette G.D., Espeleta J.F., Troch P.A., Huxman T.E. Hysteresis of soil moisture spatial heterogeneity and the "homogenizing" effect of vegetation. Water Resour. Res. 2010, 46:W09521. 10.1029/2009WR008611.
106. Ivanov V.Y., Bras R.L., Vivoni E.R. Vegetation-hydrology dynamics in complex terrain of semiarid areas. I: a mechanistic approach to modeling dynamic feedbacks. Water Resour. Res. 2008, 44:W03429. 10.1029/2006WR005588.
107. Ivanov V.Y., Bras R.L., Vivoni E.R. Vegetation-hydrology dynamics in complex terrain of semiarid areas: II. Energy-water controls of vegetation spatio-temporal dynamics and topographic niches of favorability. Water Resour. Res. 2008, 44:W03430. 10.1029/2006WR005595.
108. Jana R.B., Mohanty B.P. On topographic controls of soil hydraulic parameter scaling at hillslope scales. Water Resour. Res. 2012, 48:W02518. 10.1029/2011WR011204.
109. Johnson B.E., Zhang Z., Downer C.W. Watershed scale physically based water flow, sediment and nutrient dynamic modeling system. Landscape Ecology for Sustainable Environment and Culture 2013, 145-171. Springer Publishing, ISBN 978-94-007-6529-0 (Chapter 8). B. Fu, K. Bruce Jones (Eds.).
110. Jones J.A. Hydrologic processes and peak discharge response to forest removal, regrowth, and roads in 10 small experimental basins, western Cascades, Oregon. Water Resour. Res. 2000, 36:2621-2642.
111. Kalyanapu A.J., Shankar S., Pardyjak E.R., Judi D.R., Burian S.J. Assessment of GPU computational enhancement to a 2D flood model. Environ. Modell. Softw. 2011, 26(8):1009-1101.
112. Kendall C., McDonnell J.J., Gu W. A look inside 'black box' hydrograph separation models: a study at the Hydrohill catchment. Hydrol. Process. 2001, 15:1877-1902.
113. Kerkez B., Glaser S.D., Bales R.C., Meadows M.W. Design and performance of a wireless sensor network for catchment-scale snow and soil moisture measurements. Water Resour. Res. 2012, 48:W09515. 10.1029/2011WR011214.
114. Kerr R. Gravitational field of a spinning mass as an example of algebraically special metrics. Phys. Rev. Lett. 1963, 11:237-238.
115. Kim J., Warnock A., Ivanov V.Y., Katopodes N.D. Coupled modeling of hydrologic and hydrodynamic processes including overland and channel flow. Adv. Water Resour. 2012, 37:104-126.
116. Kim J., Ivanov V.Y., Katopodes N.D. Hydraulic resistance to overland flow on surfaces with partially submerged vegetation. Water Resour. Res. 2012, 48:W10540. 10.1029/2012WR012047.
117. Kim J.A., Ivanov V.Y., Katopodes N.D. Modeling erosion and sedimentation coupled with hydrological and overland flow processes at the watershed scale. Water Resour. Res. 2013, 49:5134-5154.
118. Kim J., Ivanov V.Y. On the nonuniqueness of sediment yield at the catchment scale: the effects of soil antecedent conditions and surface shield. Water Resour. Res. 2014, 50(2):1025-1045.
119. Kim J., Ivanov V.Y. A holistic, multi-scale dynamic downscaling framework for climate impact assessments and challenges of addressing finer-scale watershed dynamics. J. Hydrol. 2015, 522:645-660.
120. Kleidon A., Schymanski S., Stieglitz M. Thermodynamics, irreversibility and optimality in land surface hydrology. Bioclimatology and Natural Hazards 2009, Springer, Dordrecht, Netherlands. K. Strelcova, C. Matyas (Eds.).
121. Klemeš V. Dilettantism in hydrology: transition or destiny?. Water Resour. Res. 1986, 22(9):177-188.
122. Klemeš V. A hydrological perspective. J. Hydrol. 1988, 100:3-28.
123. Kolditz O., Bauer S., Bilke L., Böttcher N., Delfs J.O., Fischer T., Görke U.J., et al. OpenGeoSys: an open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous media. Environ. Earth Sci. 2012, 67(2):589-599.
124. Kollet S.J., Maxwell R.M. Integrated surface-groundwater flow modeling: a free-surface overland flow boundary condition in a parallel groundwater flow model. Adv. Water Resour. 2006, 29(7):945-958.
125. Kollet S.J., Maxwell R.M. Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model. Water Resour. Res. 2008, 44:W02402. 10.1029/2007WR006004.
126. Kollet S.J., Maxwell R.M. Demonstrating fractal scaling of baseflow residence time distributions using a fully-coupled groundwater and land surface model. Geophys. Res. Lett. 2008, 35:L07402. 10.1029/2008GL033215.
127. Kollet S.J., Maxwell R.M., Woodward C.S., Smith S., Vanderborght J., Vereecken H., Simmer C. Proof of concept of regional scale hydrologic simulations at hydrologic resolution utilizing massively parallel computer resources. Water Resour. Res. 2010, 46:W04201. 10.1029/2009WR008730.
128. Koutsoyiannis D. A random walk on water. Hydrol. Earth Syst. Sci. 2010, 14:586-601.
129. Kowalsky M.B., Finsterle S., Rubin Y. Estimating flow parameter distributions using ground-penetrating radar and hydrological measurements during transient flow in the vadose zone. Adv. Water Resour. 2004, 27(6):583-599.
130. Kuchment L.S., Gelfan A.N. Dynamic-stochastic models of rainfall and snowmelt runoff formation. Hydrol. Sci. J. 1991, 36(2):153-169. 10.1080/02626669109492496.
131. Kuchment L.S., Muzylev E.L., Startseva Z.P. The effects of land surface heterogeneities on the hydrological cycle. Theoret. Appl. Climatol. 1996, 55:185-192.
132. Kuchment L.S., Gelfan A.N., Demidov V.N. A distributed model of runoff generation in the permafrost regions. J. Hydrol. 2000, 240:1-22.
133. Kumar M., Bhatt G., Duffy C.J. An object-oriented shared data model for GIS and distributed hydrologic models. Int. J. Geogr. Inf. Sci. 2010, 24(7):1061-1079.
134. Kumar M., Duffy C.J., Salvage K.M. A second order accurate, finite volume based, integrated hydrologic modeling (FIHM) framework for simulation of surface and subsurface flow. Vadose Zone J. 2009, 8(4):873-890.
135. Lacasta A., Morales-Hernández M., Murillo J., García-Navarro P. GPU implementation of the 2D shallow water equations for the simulation of rainfall/runoff events. Environ. Earth Sci. 2015, 74(11):7295-7305.
136. Lai W., Ogden F.L., Steinke R.C., Talbot C.A. An efficient and guaranteed stable numerical method for continuous modeling of infiltration and redistribution with a shallow dynamic water table. Water Resour. Res. 2015, 51. 10.1002/2014WR016487.
137. Le P.V.V., Kumar P., Drewry D.T. Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the Midwestern United States. Proc. Natl. Acad. Sci. 2011, 108:15085-15090.
138. Le P.V.V., Kumar P., Valocchi A.J., Dang H.-V. GPU-based high-performance computing for integrated surface-sub-surface flow modeling. Environ. Modell. Softw. 2015, 73:1-13. 10.1016/j.envsoft.2015.07.015.
139. Lehning M., Völksch I., Gustafsson D., Nguyen T., Stähli M., Zappa M. ALPINE3D: a detailed model of mountain surface processes and its application to snow hydrology. Hydrol. Process. 2006, 20:2111-2128.
140. Levin S. Fragile Dominion: Complexity and the Commons 1999, Perseus Publishing, Cambridge, MA, USA.
141. Li Q., Unger A.J.A., Sudicky E.A., Kassenaar D., Wexler E.J., Shikaze S. Simulating the multi-seasonal response of a large-scale watershed with a 3D physically-based hydrologic model. J. Hydrol. 2008, 357(3):317-336.
142. Lin N., Emanuel K., Oppenheimer M., Vanmarcke E. Physically based assessment of hurricane surge threat under climate change. Nat. Clim. Change 2012, 2:462-467.
143. Loague K., VanderKwaak J.E. Physics-based hydrologic response simulation: platinum bridge, 1958 Edsel, or useful tool. Hydrol. Process. 2004, 18:2949-2956.
144. Loague K., Heppner C.S., Ebel B.A., VanderKwaak J.E. The quixotic search for a comprehensive understanding of hydrologic response at the surface: Horton, Dunne, Dunton, and the role of concept development simulations. Hydrol. Process. 2010, 24:2499-2505.
145. Loague K., Heppner C.S., Mirus B.B., Ebel B.A., Ran Q., Carr A.E., BeVille S.H., VanderKwaak J.E. Physics-based hydrologic-response simulation: foundation for hydroecology and hydrogeomorphology. Hydrol. Process. 2006, 20:1231-1237.
146. Lott P.A., Walker H.F., Woodward C.S., Yang U.M. An accelerated Picard method for nonlinear systems related to variably saturated flow. Adv. Water Resour. 2012, 38:92-101. 10.1016/j.advwatres.2011.12.013.
147. Luce C.H., Tarboton D.G., Cooley K.R. The influence of the spatial distribution of snow on basin-averaged snowmelt. Hydrol. Process. 1998, 12(10-11):1671-1683.
148. Mahmood T.H., Vivoni E.R. A climate-induced threshold in hydrologic response in a semiarid Ponderosa Pine hillslope. Water Resour. Res. 2011, 47:W09529. 10.1029/2011WR010384.
149. Mandelbrot B. How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science 1967, 156(3775):636-638.
150. Markstrom, S.L., Niswonger, R.G., Regan, R.S., Prudic, D.E., Barlow, P.M., 2008. GSFLOW-Coupled Ground-water and Surface-water FLOW Model Based on the Integration of the Precipitation-Runoff Modeling System (PRMS) and the Modular Ground-Water Flow Model (MODFLOW-2005): U.S. Geological Survey Techniques and Methods 6-D1, 240 pp.
151. Mascaro G., Vivoni E.R., Deidda R. Implications of ensemble quantitative precipitation forecast errors on distributed streamflow forecasting. J. Hydrometeorol. 2010, 11(1):69-86.
152. Mascaro G., Vivoni E.R. Utility of coarse and downscaled soil moisture products at L-band for hydrologic modeling at the catchment scale. Geophys. Res. Lett. 2012, 39:L10403. 10.1029/2012GL051809.
153. Mascaro G., Vivoni E.R., Méndez-Barroso L.A. Hyperresolution hydrologic modeling in a regional watershed and its interpretation using empirical orthogonal functions. Adv. Water Resour. 2015, 83:190-206.
154. Massey T.C., Pradhan N.R., Byrd A.R., Cresitello D.E. USACE-ERDC coastal storm modelling systems in support of hurricane sandy operations. Flood Risk Manage. Newslett. 2013, 6(4):2-3.
155. Maxwell R.M., Kollet S.J. Interdependence of groundwater dynamics and land-energy feedbacks under climate change. Nat. Geosci. 2008, 1:665-669.
156. Maxwell R.M., et al. Surface-subsurface model intercomparison: a first set of benchmark results to diagnose integrated hydrology and feedbacks. Water Resour. Res. 2014, 50:1531-1549. 10.1002/2013WR013725.
157. Maxwell R.M., Chow F.K., Kollet S.J. The groundwater-land-surface-atmosphere connection: soil moisture effects on the atmospheric boundary layer in fully-coupled simulations. Adv. Water Resour. 2007, 30:2447-2466.
158. Maxwell R.M., Lundquist J.D., Mirocha J.D., Smith S.G., Woodward C.S., Tompson A.F.B. Development of a coupled groundwater-atmospheric model. Mon. Weat. Rev. 2011, 139:96-116.
159. Maxwell R.M., Condon L.E., Kollet S.J. 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. 2015, 8:923-937. 10.5194/gmd-8-923-2015.
160. McDonnell J.J., Sivapalan M., Vaché K., Dunn S., Grant G., Haggerty R., Hinz C., Hooper R., Kirchner J., Roderick M.L., Selker J., Weiler M. Moving beyond heterogeneity and process complexity: a new vision for watershed hydrology. Water Resour. Res. 2007, 43:W07301. 10.1029/2006WR005467.
161. Melillo, J.M., Richmond, T.C., Yohe, G.W. (Eds.), 2014. Highlights of Climate Change Impacts in the United States: The Third National Climate Assessment. U.S. Global Change Research Program, 148 pp.
162. Mendez-Barroso L.A., Vivoni E.R., Robles-Morua A., Mascaro G., Yepez E.A., Rodriguez J.C., Watts C.J., Garatuza-Payan J., Saiz-Hernandez J. A modeling approach reveals differences in evapotranspiration and its partitioning in two semiarid ecosystems in northwest Mexico. Water Resour. Res. 2014, 50(4):3229-3252.
163. Mendicino G., Senatore A., Spezzano G., Straface S. Three-dimensional unsaturated flow modeling using cellular automata. Water Resour. Res. 2006, 42:W11419. 10.1029/2005WR004472.
164. Mendoza P.A., Clark M.P., Barlage M., Rajagopalan B., Samaniego L., Abramowitz G., Gupta H. Are we unnecessarily constraining the agility of complex process-based models?. Water Resour. Res. 2015, 51:716-728. 10.1002/2014WR015820.
165. Milly P.C.D., Betancourt J., Falkenmark M., Hirsch R.M., Kundzewicz Z.W., Lettenmaier D.P., Stouffer R.J. Stationarity is dead: whither water management?. Science 2008, 319:573-574.
166. Milly P.C.D., Betancourt J., Falkenmark M., Hirsch R.M., Kundzewicz Z.W., Lettenmaier D.P., Stouffer R.J., Dettinger M.D., Krysanova V. On critiques of "stationarity is dead: whither water management?". Water Resour. Res. 2015, 51. 10.1002/2015WR017408.
167. Mirus B.B., Loague K. How runoff begins (and ends): characterizing hydrologic response at the catchment scale. Water Resour. Res. 2013, 49(5):2987-3006. 10.1002/wrcr.20218.
168. Mirus B.B. Evaluating the importance of characterizing soil structure and horizons in parameterizing a hydrologic process model. Hydrol. Process. 2015, 29(21):4611-4623. 10.1002/hyp.10592.
169. Mirus B.B., Ebel B.A., Heppner C.S., Loague K. Assessing the detail needed to capture rainfall-runoff dynamics with physics-based hydrologic response simulation. Water Resour. Res. 2011, 47:W00H10. 10.1029/2010WR009906.
170. Mirus B.B., Loague K., Cristea N.C., Burges S.J., Kampf S.K. A synthetic hydrologic-response dataset. Hydrol. Process. 2011, 25:3688-3692.
171. Moffett K.B., Gorelick S.M., McLaren R.G., Sudicky E.A. Salt marsh ecohydrological zonation due to heterogeneous vegetation-groundwater-surface water interactions. Water Resour. Res. 2012, 48:W02516. 10.1029/2011WR010874.
172. Montanari A. Large sample behaviors of the generalized likelihood uncertainty estimation (GLUE) in assessing the uncertainty of rainfall runoff simulations. Water Resour. Res. 2005, 41:W08406. 10.1029/2004WR003826.
173. Montanari A. What do we mean by 'uncertainty'? The need for a consistent wording about uncertainty assessment in hydrology. Hydrol. Process. 2007, 21:841-845.
174. Montanari A., Koutsoyiannis D. A blueprint for process-based modeling of uncertain hydrological systems. Water Resour. Res. 2012, 48:W09555. 10.1029/2011WR011412.
175. Moreno H.A., Vivoni E.R., Gochis D.J. Limits to flood forecasting in the Colorado Front Range for two summer convection periods using radar nowcasting and a distributed hydrologic model. J. Hydrometeorol. 2013, 14(4):1075-1097.
176. Muneepeerakul R., Bertuzzo E., Lynch H.J., Fagan W.F., Rinaldo A., Rodriguez-Iturbe I. Neutral metacommunity models predict fish diversity patterns in Mississippi-Missouri basin. Nature 2008, 453:220-223.
177. Neuweiler I., Cirpka O.A. Homogenization of Richards equation in permeability fields with different connectivities. Water Resour. Res. 2005, 41:W02009. 10.1029/2004WR00332.
178. Ng G.-H.C., Bedford D.R., Miller D.M. A mechanistic modeling and data assimilation framework for Mojave Desert ecohydrology. Water Resour. Res. 2014, 50:4662-4685. 10.1002/2014WR015281.
179. Nicolau J.-M. Run-off generation and routing on artificial slopes in a Mediterranean-continental environment: the Teruel coalfield, Spain. Hydrol. Process. 2002, 16:631-647.
180. Niedzialek J.M., Ogden F.L. Numerical investigation of saturated source area behavior at the small catchment scale. Adv. Water Resour. 2004, 27:925-936.
181. Niessner J., Hassanizadeh S.M. A model for two-phase flow in porous media including fluid-fluid interfacial area. Water Resour. Res. 2008, 44:W08439. 10.1029/2007WR006721.
182. Nimmo J.R. Preferential flow occurs in unsaturated conditions. Hydrol. Process. 2012, 26:786-789. 10.1002/hyp.8380.
183. Niswonger R.G., Allander K.K., Jeton A.E. Collaborative modelling and integrated decision support system analysis of a developed terminal lake basin. J. Hydrol. 2014, 517:521-537.
184. Niu G.-Y., Paniconi C., Troch P.A., Scott R.L., Durcik M., Zeng X., Huxman T., Goodrich D.C. An integrated modelling framework of catchment-scale ecohydrological processes: 1. Model description and tests over an energy-limited watershed. Ecohydrology 2014, 7:427-439.
185. Niu G.-Y., Pasetto D., Scudeler C., Paniconi C., Putti M., Troch P.A., DeLong S.B., Dontsova K., Pangle L., Breshears D.D., Chorover J., Huxman T.E., Pelletier J., Saleska S.R., Zeng X. Incipient subsurface heterogeneity and its effect on overland flow generation - insight from a modeling study of the first experiment at the Biosphere 2 Landscape Evolution Observatory. Hydrol. Earth Syst. Sci. 2014, 18:1873-1883.
186. Niu J., Shen C., Li S.-G., Phanikumar M.S. Quantifying storage changes in regional Great Lakes watersheds using a coupled subsurface-land surface process model and GRACE, MODIS products. Water Resour. Res. 2014, 50(9):7359-7377.
187. Niu J., Phanikumar M.S. Modeling watershed-scale solute transport using an integrated, process-based hydrologic model with applications to bacterial fate and transport. J. Hydrol. 2015, 529:35-48. 10.1016/j.jhydrol.2015.07.013.
188. Ogden F.L., Dawdy D.R. Peak discharge scaling in a small Hortonian watershed. J. Hydrol. Eng. 2003, 8(2):64-73.
189. Ogden F.L., Pradhan N.R., Downer C.W., Zahner J.A. Relative importance of impervous area, drainage density, width function, and subsurface storm drainage on flood runoff from an urbanized catchment. Water Resour. Res. 2011, 47:W12503. 10.1029/2011WR010550.
190. Ogden F.L., Stallard R.F. Land use effects on ecosystem service provisioning in tropical watersheds, still an important unsolved problem. Proc. Natl. Acad. Sci. USA 2013, 110(52):E5037. 10.1073/pnas.1314747111.
191. Ogden F.L., Crouch T.D., Stallard R.F., Hall J.S. Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama. Water Resour. Res. 2013, 49:8443-8462. 10.1002/2013WR013956.
192. Ogden, F.L., Lai, W., Steinke, R.C., 2015a. ADHydro-Quasi-3D high-performance hydrologic model. In: Proc. SEDHYD 2015, 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference), April 19-23, Reno, Nevada.
193. Ogden F.L., Lai W., Steinke R.C., Zhu J., Talbot C.A., Wilson J.L. A new general 1-D vadose zone solution method. Water Resour. Res. 2015, 51. 10.1002/2015WR017126.
194. Ogden F.L., Lai W., Steinke R.C., Zhu J. Validation of finite water-content vadose zone dynamics method using column experiments with a moving water table and applied surface flux. Water Resour. Res. 2015, 10.1002/2014WR016454.
195. Panciera R., Walker J.P., Jackson T.J., Gray D.A., Tanase M.A., Ryu Dongryeol, Monerris A., Yardley H., Rudiger C., Wu Xiaoling, Gao Ying, Hacker J.M. The soil moisture active passive experiments (SMAPEx): toward soil moisture retrieval from the SMAP Mission. IEEE Trans. Geosci. Remote Sensing 2014, 52(1):490-507.
196. Panday S., Huyakorn P.S. A fully coupled physically-based spatially-distributed model for evaluating surface/subsurface flow. Adv. Water Resour. 2004, 27(4):361-382.
197. Paniconi C., Putti M. A comparison of Picard and Newton iteration in the numerical solution of multidimensional variably saturated flow problems. Water Resour. Res. 1994, 30:3357-3374.
198. Paniconi C., Putti M. Physically based modeling in catchment hydrology at 50: survey and outlook. Water Resour. Res. 2015, 51. 10.1002/2015WR017780.
199. Paola C., Foufoula-Georgiou E., Dietrich W.E., Hondzo M., Mohrig D., Parker G., Power M.E., Rodriguez-Iturbe I., Voller V., Wilcock P. Toward a unified science of the Earth's surface: opportunities for synthesis among hydrology, geomorphology, geochemistry, and ecology. Water Resour. Res. 2006, 42:W03S10. 10.1029/2005WR00433.
200. Pappas C., Fatichi S., Leuzinger S., Wolf A., Burlando P. Sensitivity analysis of a process-based ecosystem model: pinpointing parameterization and structural issues. J. Geophys. Res. 2013, 118(2):505-528.
201. Park Y.J., Sudicky E.A., Panday S., Matanga G. Implicit subtime stepping for solving nonlinear flow equations in an integrated surface-subsurface system. Vadose Zone J. 2009, 8(4):825-836.
202. Park Y.J., Sudicky E.A., Panday S., Sykes J.F., Guvanasen V. Application of implicit sub-time stepping to simulate flow and transport in fractured porous media. Adv. Water Resour. 2008, 31(7):995-1003.
203. Park Y.-J., Sudicky E.A., Brookfield A.E., Jones J.P. Hydrologic response of catchments to precipitation: quantification of mechanical carriers and origins of water. Water Resour. Res. 2011, 47:W12515. 10.1029/2010WR010075.
204. Parker D.C., Manson S.M., Janssen M.A., Hoffman M.J., Deadman P. Multi-agent systems for the simulation of land-use and land-cover change: a review. Ann. Assoc. Am. Geogr. 2003, 93(2):314-337.
205. Pasetto D., Camporese M., Putti M. Ensemble Kalman filter versus particle filter for a physically-based coupled surface-subsurface model. Adv. Water Resour. 2012, 47:1-13.
206. Pasetto D., Putti M., Yeh W.W.G. A reduced-order model for groundwater flow equation with random hydraulic conductivity: application to Monte Carlo methods. Water Resour. Res. 2013, 49(6):3215-3228.
207. Pau G.S.H., Shen C., Riley W.J., Liu Y. Accurate and efficient prediction of fine-resolution hydrologic and carbon dynamic simulations from coarse-resolution models. Water Resour. Res. 2016, 10.1002/2015WR017782.
208. Pierini N.A., Vivoni E.R., Robles-Morua A., Scott R.L., Nearing M.A. Using observations and a distributed hydrologic model to explore runoff thresholds linked with mesquite encroachment in the Sonoran Desert. Water Resour. Res. 2014, 50(10):8191-8215.
209. Pimm S.L. The complexity and stability of ecosystems. Nature 1984, 307(5949):321-326.
210. Piras M., Mascaro G., Deidda R., Vivoni E.R. Quantification of hydrologic impacts of climate change in a Mediterranean basin in Sardinia, Italy, through high-resolution simulations. Hydrol. Earth Syst. Sci. 2014, 18(12):5201-5217.
211. Pomeroy J.W., Gray D.M., Brown T., Hedstrom N.R., Quinton W.L., Granger R.J., Carey S.K. The cold regions hydrological model, a platform for basing process representation and model structure on physical evidence. Hydrol. Process. 2007, 21(19):2650-2667.
212. Pradhan N.R., Downer C.W., Johnson B.E. A physics based hydrologic modeling approach to simulate non-point source pollution for the purposes of calculating TMDLs and designing abatement measures. Practical Aspects of Computational Chemistry III 2014, 249-282. Springer, New York, (Chapter 9). J. Leszczynski, M.K. Shukla (Eds.).
213. Qu Y., Duffy C.J. A semidiscrete finite volume formulation for multiprocess watershed simulation. Water Resour. Res. 2007, 43:W08419. 10.1029/2006WR005752.
214. Rahman M., Sulis M., Kollet S.J. The concept of dual-boundary forcing in land surface-subsurface interactions of the terrestrial hydrologic and energy cycles. Water Resour. Res. 2014, 50:8531-8548. 10.1002/2014WR015738.
215. Raia S., Alvioli M., Rossi M., Baum R.L., Godt J.W., Guzzetti R. Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach. Geosci. Model Dev. 2014, 7:495-514. 10.5194/gmd-7-495-2014.
216. Ran Q., Su D.Y., Fu X., Wang G. A physics-based hydro-geomorphologic simulation utilizing cluster parallel computing. Sci. China Technol. Sci. 2013, 56(8):1883-1895.
217. Razavi S., Tolson B.A., Burn D.H. Numerical assessment of metamodelling strategies in computationally intensive optimization. Environ. Modell. Softw. 2012, 34:67-86.
218. Razavi S., Tolson B.A., Burn D.H. Review of surrogate modeling in water resources. Water Resour. Res. 2012, 48:W07401. 10.1029/2011WR011527.
219. Renard B., Kavetski D., Kuczera G., Thyer M., Franks S.W. Understanding predictive uncertainty in hydrologic modeling: the challenge of identifying input and structural errors. Water Resour. Res. 2010, 46:W05521. 10.1029/2009WR008328.
220. Restrepo P.J., Bras R.L. A view of maximum-likelihood estimation with large conceptual hydrologic models. Appl. Math. Comput. 1985, 17(4):375-403.
221. Rigon R., Bertoldi G., Over T.M. GEOtop: a distributed hydrological model with coupled water and energy budgets. J. Hydrometeorol. 2006, 7(3):371-388.
222. Rihani J.F., Maxwell R.M., Chow F.K. Coupling groundwater and land surface processes: idealized simulations to identify effects of terrain and subsurface heterogeneity on land surface energy fluxes. Water Resour. Res. 2010, 46:W12523. 10.1029/2010WR009111.
223. Rihani J.F., Chow F.K., Maxwell R.M. Isolating effects of terrain and soil moisture heterogeneity on the atmospheric boundary layer: idealized simulations to diagnose land atmosphere feedbacks. J. Adv. Model. Earth Syst. 2015, 7:915-937. 10.1002/2014MS000371.
224. Rinaldo, A., 2009. Il governo dell'acqua. Ambiente naturale e ambiente costruito, Marsilio Editore, Venezia (in Italian).
225. Rinehart A.J., Vivoni E.R., Brooks P.D. Effects of vegetation, albedo and solar radiation sheltering on the distribution of snow in the Valles Caldera, New Mexico. Ecohydrology 2008, 1(3):253-270.
226. Robinson D.A., Binley A., Crook N., Day-Lewis F.D., Ferré T.P.A., Grauch V.J.S., Knight R., Knoll M., Lakshmi V., Miller R., Nyquist J., Pellerin L., Singha K., Slater L. Advancing process-based watershed hydrological research using near-surface geophysics: a vision for, and review of, electrical and magnetic geophysical methods. Hydrol. Process. 2008, 22:3604-3635.
227. Robles-Morua A., Mayer A.S., Auer M.T., Vivoni E.R. Modeling riverine pathogen fate and transport in Mexican rural communities and its associated public health implications. J. Environ. Manage. 2012, 113:61-70.
228. Rodriguez-Iturbe I., Rinaldo A. Fractal River Basins: Chance and Self-Organization 1997, Cambridge University Press, Cambridge, UK.
229. Samaniego L., Kumar R., Attinger S. Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale. Water Resour. Res. 2010, 46(5):W05523.
230. Santanello J., Peters-Lidard C., Kumar S. Diagnosing the sensitivity of local land-atmosphere coupling via the soil moisture-boundary layer interaction. J. Hydrometeorol. 2011, 12(5):766-786.
231. Schwarzschild K. On the gravitational field of a sphere of incompressible fluid according to Einstein's theory. Sitzungsber. Preuss. Akad. Wiss. Berlin (Math. Phys.) 1916, 424-434.
232. Seibert J., McDonnell J.J. On the dialog between experimentalist and modeler in catchment hydrology: use of soft data for multicriteria model calibration. Water Resour. Res. 2002, 38(11):1241. 10.1029/2001WR000978.
233. Seibert J. Reliability of model predictions outside calibration conditions. Nord. Hydrol. 2003, 34:477-492.
234. Senarath S.U.S., Ogden F.L., Downer C.W., Sharif H.O. On the calibration and verification of two-dimensional distributed, Hortonian, continuous watershed models. Water Resour. Res. 2000, 36(6):1495-1510.
235. Shao W., Bogaard T.A., Bakker M., Greco R. Quantification of the influence of preferential flow on slope stability using a numerical modelling approach. Hydrol. Earth Syst. Sci. 2015, 19:2197-2212. 10.5194/hess-19-2197-2015.
236. Shen C., Phanikumar M.S. A process-based, distributed hydrologic model based on a large-scale method for surface-subsurface coupling. Adv. Water Resour. 2010, 33:1524-1541.
237. Shen C., Niu J., Phanikumar M.S. Evaluating controls on coupled hydrologic and vegetation dynamics in a humid continental climate watershed using a subsurface-land surface processes model. Water Resour. Res. 2013, 49. 10.1002/wrcr.20189.
238. Shen C., Niu J., Fang K. Quantifying the effects of data integration algorithms on the outcomes of a subsurface-land surface processes model. Environ. Modell. Softw. 2014, 59:146-161. 10.1016/j.envsoft.2014.05.006.
239. Shen C., Riley W.J., Smithgall K.M., Melack J.M., Fang K. The fan of influence of streams and channel feedbacks to simulated land surface water and carbon dynamics. Water Resour. Res. 2016, 10.1002/2015WR018086.
240. Shrestha P., Sulis M., Masbou M., Kollet S., Simmer C. A scale-consistent terrestrial systems modeling platform based on COSMO, CLM, and ParFlow. Mon. Weat. Rev. 2014, 142:3466-3483.
241. Simoni S., Zanotti F., Bertoldi G., Rigon R. Modelling the probability of occurrence of shallow landslides and channelized debris flows using GEOtop-FS. Hydrol. Process. 2008, 22:532-545.
242. Šimůnek J., Jarvis N.J., van Genuchten M.T., Gärdenäs A. Review and comparison of models describing non-equilibrium and preferential flow and transport in the vadose zone. J. Hydrol. 2003, 272:14-35.
243. Singha K., Day-Lewis F.D., Johnson T., Slater L.D. Advances in interpretation of subsurface processes with time-lapse electrical imaging. Hydrol. Process. 2014, 29(6):1549-1576. 10.1002/hyp.10280.
244. Siqueira M., Katul G., Porporato A. Soil moisture feedbacks on convection triggers: the role of soil-plant hydrodynamics. J. Hydrometeorol. 2009, 10:96-112.
245. Sivapalan M. Process complexity at hillslope scale, process simplicity at the watershed scale: is there a connection?. Hydrol. Process. 2003, 17:1037-1041.
246. Sivapalan M., Bloschl G., Zhang L., Vertessy R. Downward approach to hydrological prediction. Hydrol. Process. 2003, 17(11):2101-2111.
247. Sivapalan M., Savenije H.H.G., Blöschl G. Socio-hydrology: a new science of people and water. Hydrol. Process. 2012, 26:1270-1276. 10.1002/hyp.8426.
248. Sivapalan M., Konar M., Srinivasan V., Chhatre A., Wutich A., Scott C.A., Wescoat J.L., Rodríguez-Iturbe I. Socio-hydrology: use-inspired water sustainability science for the Anthropocene. Earth's Future 2014, 2. 10.1002/2013EF000164.
249. Skahill B., Baggett J.S., Frankenstein S., Downer C.W. PEST compatible efficiency enhancements for Levenberg-Marquardt method based model independent calibration. Environ. Modell. Softw. 2009, 24:517-529.
250. Slaughter C.W., Marks D., Flerchinger G.N., VanVactor S.S., Burgess M. Thirty-five years of research data collection at the Reynolds Creek Experimental Watershed, Idaho, United States. Water Resour. Res. 2001, 37(11):2819-2823.
251. Smith J.A. Representation of basin scale in flood peak distribution. Water Resour. Res. 1992, 28(11):2993-2999.
252. Srinivasan V., Lambin E.F., Gorelick S.M., Thompson B.H., Rozelle S. The nature and causes of the global water crisis: syndromes from a meta-analysis of coupled human-water studies. Water Resour. Res. 2012, 48:W10516. 10.1029/2011WR011087.
253. Steele-Dunne S.C., Rutten M.M., Krzeminska D.M., Hausner M., Tyler S.W., Selker J., Bogaard T.A., van de Giesen N.C. Feasibility of soil moisture estimation using passive distributed temperature sensing. Water Resour. Res. 2010, 46:W03534. 10.1029/2009WR008272.
254. Steinschneider S., Wi S., Brown C. The integrated effects of climate and hydrologic uncertainty on future flood risk assessments. Hydrol. Process. 2015, 29(12):2823-2839. 10.1002/hyp.10409.
255. Stephenson G.R., Freeze R.A. Mathematical simulation of subsurface flow contributions to snowmelt and runoff, Reynolds Creek watershed, Idaho. Water Resour. Res. 1974, 10:284-294.
256. Sudicky E.A., Jones J.P., Park Y.-J., Brookfield A.E., Colautti D. Simulating complex flow and transport dynamics in an integrated surface-subsurface modeling framework. Geosci. J. 2008, 12(2):107-122.
257. Sulis M., Paniconi C., Marrocu M., Huard D., Chaumont D. Hydrologic response to multimodel climate output using a physically based model of groundwater/surface water interactions. Water Resour. Res. 2012, 48:W12510. 10.1029/2012WR012.
258. Swank W.T., Crossley D.A. Forest Hydrology and Ecology at Coweeta 1988, Springer-Verlag, New York.
259. Tague C.L. Assessing climate change impacts on alpine stream-flow and vegetation water use: mining the linkages with subsurface hydrologic processes. Hydrol. Process. 2009, 23:1815-1819.
260. Tague C.L., Band L.E. RHESSys: regional hydro-ecologic simulation system: an object-oriented approach to spatially distributed modeling of carbon, water, and nutrient cycling. Earth Interact. 2004, 8(19):1-42.
261. Talbot C.A., Ogden F.L. A method for computing infiltration and redistribution in a discretized moisture content domain. Water Resour. Res. 2008, 44:W08453. 10.1029/2008WR006815.
262. Tocci M.D., Kelley C.T., Miller C.T. Accurate and economical solution of the pressure-head form of Richards' equation by the method of lines. Adv. Water Resour. 1997, 20(1):1-14.
263. Troch P.A., Carrillo G.A., Heidbüchel I., Rajagopal S., Switanek M., Volkmann T.H.M., Yaeger M. Dealing with landscape heterogeneity in watershed hydrology: a review of recent progress toward new hydrological theory. Geogr. Compass 2008, 3:375-392. 10.1111/j.1749-8198.2008.00186.x.
264. Tromp-van Meerveld H.J., James A.L., McDonnell J.J., Peters N.E. A reference data set of hillslope rainfall runoff response, Panola Mountain Research Watershed, United States. Water Resour. Res. 2008, 44:W06502. 10.1029/2007WR006299.
265. Tyree M.T. The cohesion-tension theory of sap ascent: current controversies. J. Exp. Bot. 1997, 48(315):1753-1765.
266. Tyree M.T. The ascent of water. Nature 2003, 423:923.
267. Uhlenbrook S., Seibert J., Leibundgut C., Rohde A. Prediction uncertainty of conceptual rainfall-runoff models caused by problems in identifying model parameters and structure. Hydrol. Sci. J. 1999, 44:779-797.
268. van Roosmalen L., Sonnenborg T.O., Jensen K.H. The impact of climate and land use change on the hydrology of a large-scale agricultural catchment. Water Resour. Res. 2009, 45:W00A15. 10.1029/2007WR006760.
269. VanderKwaak J.E., Loague K. Hydrologic-response simulations for the R-5 catchment with a comprehensive physics-based model. Water Resour. Res. 2001, 37(4):999-1013.
270. Vinogradov Y., Semenova O., Vinogradova T. An approach to the scaling problem in hydrological modelling: the deterministic modelling hydrological system. Hydrol. Process. 2011, 25:1055-1073.
271. Vivoni E.R. Spatial patterns, processes and predictions in ecohydrology: integrating technologies to meet the challenge. Ecohydrology 2012, 5(3):235-241.
272. Vivoni E.R. Diagnosing seasonal vegetation impacts on evapotranspiration and its partitioning at the catchment scale during SMEX04-NAME. J. Hydrometeorol. 2012, 13:1631-1638.
273. Vivoni E.R., Rodriguez J.C., Watts C.J. On the spatiotemporal variability of soil moisture and evapotranspiration in a mountainous basin within the North American monsoon region. Water Resour. Res. 2010, 46:W02509. 10.1029/2009WR008240.
274. Vivoni E.R., Mascaro G., Mniszewski S., Fasel P., Springer E.P., Ivanov V.Y., Bras R.L. Real-world hydrologic assessment of a fully-distributed hydrological model in a parallel computing environment. J. Hydrol. 2011, 409:483-496.
275. Vivoni E.R., Rango A., Anderson C.A., Pierini N.A., Schreiner-McGraw A., Saripalli S., Laliberte A.S. Ecohydrology with unmanned aerial vehicles. Ecosphere 2014, 5(10). art130.
276. Vrugt J.A., Diks C.G.H., Gupta H.V., Bouten W., Verstraten J.M. Improved treatment of uncertainty in hydrologic modeling: combining the strengths of global optimization and data assimilation. Water Resour. Res. 2005, 41:W01017. 10.1029/2004WR003059.
277. Vrugt J.A., ter Braak C.J.F., Diks C.G.H., Schoups G. Hydrologic data assimilation using particle Markov chain Monte Carlo simulation: theory, concepts and applications. Adv. Water Resour. 2013, 51:457-478.
278. Wagener T., Sivapalan M., Troch P., Woods R. Catchment classification and hydrologic similarity. Geogr. Compass 2007, 1(4):901-931.
279. Wang C., Duan Q., Gong W., Ye A., Di Z., Miao C. An evaluation of adaptive surrogate modeling based optimization with two benchmark problems. Environ. Modell. Softw. 2014, 60:167-179.
280. Wang J., Bras R.L. A model of surface heat fluxes based on the theory of maximum entropy production. Water Resour. Res. 2009, 45:W11422. 10.1029/2009WR007900.
281. Wang J., Bras R.L. An extremum solution of the Monin-Obukhov similarity equations. J. Atmos. Sci. 2010, 67:485-499.
282. Weiler M., McDonnell J.J. Virtual experiments: a new approach for improving process conceptualization in hillslope hydrology. J. Hydrol. 2004, 285:3-18.
283. Weill S., Mazzia A., Putti M., Paniconi C. Coupling water flow and solute transport into a physically-based surface-subsurface hydrological model. Adv. Water Resour. 2011, 34(1):128-136.
284. Western A.W., Grayson R.B. The Tarrawarra data set: soil moisture patterns, soil characteristics and hydrological flux measurements. Water Resour. Res. 1998, 34(10):2765-2768.
285. White D.D., Wutich A.Y., Larson K.L., Gober P., Lant T., Senneville C.M. Credibility, salience, and legitimacy of boundary objects: water managers' assessment of a simulation model in an immersive decision theater. Sci. Public Policy 2010, 37(3):219-232.
286. Wood E.F., et al. Hyperresolution global land surface modeling: meeting a grand challenge for monitoring Earth's terrestrial water. Water Resour. Res. 2011, 47:W05301. 10.1029/2010WR010090.
287. Woolhiser D.A. Search for physically based runoff model - a hydrological El Dorado?. J. Hydraul. Eng. 1996, 122(3):122-129.
288. Xiang T.T., Vivoni E.R., Gochis D.J. Seasonal evolution of ecohydrological controls on land surface temperature over complex terrain. Water Resour. Res. 2014, 50(5):3852-3874.
289. Yetemen O., Istanbulluoglu E.I., Flores-Cervantes J.H., Vivoni E.R., Bras R.L. Ecohydrologic role of solar radiation on landscape evolution. Water Resour. Res. 2015, 51(2):1127-1157.
290. Zacharias S., et al. A network of terrestrial environmental observatories in Germany. Vadose Zone J. 2011, 10:955-973.