An integrated modelling framework of catchment-scale ecohydrological processes: 1. Model description and tests over an energy-limited watershed

Ecohydrology

Volumn 7, Issue 2, 2014, Pages 427-439

  Niu, Guo Yue ^a   Paniconi, Claudio ^b   Troch, Peter A ^a   Scott, Russell L ^c   Durcik, Matej ^a   Zeng, Xubin ^a   Huxman, Travis ^a   Goodrich, David C ^c  

^a UNIVERSITY OF ARIZONA   (United States)

^b CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

^c SOUTHWEST WATERSHED RESEARCH CENTER   (United States)

Author keywords

Coupling; Ecohydrological model; Land surface model; Physically based hydrological model; Snowmelt runoff

Indexed keywords

CALIBRATION; CATCHMENTS; CLIMATE CHANGE; CLIMATE MODELS; COUPLINGS; FLOODS; RIVERS; RUNOFF; SNOW MELTING SYSTEMS; WATERSHEDS;

CATCHMENT HYDROLOGY; ECO-HYDROLOGICAL MODELS; HYDROLOGICAL MODELING; INTEGRATED MODELLING; LAND SURFACE MODELING; PARAMETERIZATION SCHEMES; SNOWMELT RUNOFF; SPATIAL AND TEMPORAL SCALE;

THREE DIMENSIONAL;

CATCHMENT; ECOHYDROLOGY; HYDROLOGICAL MODELING; LAND SURFACE; RUNOFF; SNOWMELT;

SLEEPERS RIVER; UNITED STATES; VERMONT;

EID: 84897495917     PISSN: 19360584     EISSN: 19360592     Source Type: Journal    
DOI: 10.1002/eco.1362     Document Type: Article

References (73)

1. Beven KJ, Kirkby MJ. 1979. A physically based, variable contributing area model of basin hydrology. Hydrology Science Bulletin 24: 43-69.
2. Bixio AC, Orlandini S, Paniconi C, Putti M. 1999. Coupled surface runoff and subsurface flow model for catchment simulations. In Modelling of Transport Processes in Soils at Various Scales in Time and Space: International EurAgEng Workshop, 583-591, Wageningen Pers: The Netherlands.
3. Boone A, Habets F, Noilhan J, Clark D, Dirmeyer P, Fox S, Gusev Y, Haddeland I, Koster R, Lohmann D, Mahanama S, Mitchell K, Nasonova O, Niu GY, Pitman A, Polcher J, Shmakin AB, Tanaka K, van den Hurk B, Verant S, Verseghy D, Viterbo P, Yang ZL. 2004. The Rhône-aggregation land surface scheme intercomparison project: an overview. Journal of Climate 17: 187-208.
4. Brooks RH, Corey AT. 1964. Hydraulic properties of porous media. Hydrol. Pap. 3, Colo. State Univ.: Fort Collins.
5. Brutsaert WA. 1982. Evaporation into the Atmosphere, Reidel: Dordrecht; 299pp.
6. Camporese M, Paniconi C, Putti M, Orlandini S. 2010. Surface-subsurface flow modeling with path-based runoff routing, boundary condition-based coupling, and assimilation of multisource observation data. Water Resources Research 46: W02512, doi:10.1029/2008WR007536.
7. Caylor KK, Scanlon TM, Rodriguez-Iturbe I. 2004. Feasible optimality of vegetation patterns in river basins. Geophysical Research Letters 31: L13502, doi:10.1029/2004GL020260.
8. Chen F, Dudhia J. 2001. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Monthly Weather Review 129: 569-585.
9. Collatz GJ, Ball JT, Grivet C, Berry JA. 1991. Physiological and environmental regulation of stomatal conductance, photosynthesis and transpiration - a model that includes a laminar boundary layer. Agricultural and Forest Meteorology 54(2-4): 107-136.
10. Collatz GJ, Ribascarbo M, Berry JA. 1992. A coupled photosynthesis-stomatal conductance model for leaves of C4 plants. Australian Journal of Plant Physiology 19: 519-538.
11. Deardorff JW. 1978. Efficient prediction of ground surface-temperature and moisture, with inclusion of a layer of vegetation. Journal of Geophysical Research 83: 1889-1903.
12. Dickinson RE. 1983. Land surface processes and climate-surface albedos and energy balance. In Theory of Climate, Advances in Geophysics, Saltzman B (ed). Academic: San Diego, Calif; 25: 305-353.
13. Dickinson RE, Shaikh M, Bryant R, Graumlich L. 1998. Interactive canopies for a climate model. Journal of Climate 11: 2823-2836.
14. Ek MB, Mitchell KE, Lin Y, Rogers E, Grunmann P, Koren V, Gayno G, Tarpley JD. 2003. Implementation of Noah land surface model advancements in the National Centers for Environmental Prediction operational mesoscale Eta model. Journal of Geophysical Research 108(D22): 8851, doi:10.1029/2002JD003296.
15. Emanuel RE, Epstein HE, McGlynn BL, Welsch DL, Muth DJ, D'Odorico P. 2010. Spatial and temporal controls on watershed ecohydrology in the northern Rocky Mountains. Water Resources Research 46: W11553, doi:10.1029/2009WR008890.
16. Entekhabi D, Eagleson PS. 1989. Land surface hydrology parameterization for atmospheric general circulation models including subgrid-scale spatial variability. Journal of Climate 2: 816-831.
17. Famiglietti JS, Wood EF. 1994. Multi-scale modeling of spatially variable water and energy balance processes. Water Resources Research 30(11): 3061-3078.
18. Fan Y, Miguez-Macho G, Weaver CP, Walko R, Robock A. 2007. Incorporating water table dynamics in climate modeling: 1. Water table observation and equilibrium water table simulations. Journal of Geophysical Research 112: D10125, doi:10.1029/2006JD008111.
19. 2 assimilation in leaves of C3 species. Planta 149: 78-90.
20. Gedney N, Cox PM. 2003. The sensitivity of global climate model simulations to the representation of soil moisture heterogeneity. Journal of Hydrometeorology 4: 1265-1675.
21. van Genuchten MT, Nielsen DR. 1985. On describing and predicting the hydraulic properties of unsaturated soils. Annals of Geophysics 3(5): 615-628.
22. Gulden LE, Rosero E, Yang ZL, Wagener T, Niu GY. 2008. Model performance, model robustness, and model fitness scores: a new method for identifying good land-surface models. Geophysics Research Letter 35: L11404, doi:10.1029/2008GL033721.
23. Guntner A, Seibert J, Uhlenbrook S. 2004. Modeling spatial patterns of saturated areas: an evaluation of different terrain indices. Water Resources Research 40: W05114, doi:10.1029/2003WR002864.
24. Huxman T, Troch PA, Chorover J, Breshears DD, Saleska S, Pelletier J, Zeng X, Espeleta J. 2009. The hills are alive: earth science in a controlled environment, EOS Transactions, American Geophysical Union 90: 120.
25. Huyakorn PS, Thomas SD, Thompson BM. 1984. Techniques for making finite elements competitive in modeling flow in variably saturated porous media. Water Resources Research 20(8): 1099-1115.
26. Ivanov VY, Vivoni ER, Bras RL, Entekhabi D. 2004. Catchment hydrologic response with a fully distributed triangulated irregular network model. Water Resources Research 40: W11102, doi:10.1029/2004WR003218.
27. Kampf SK, Burges SJ. 2007. A framework for classifying and comparing distributed hillslope and catchment hydrologic models. Water Resources Research 43: W05423, doi:10.1029/2006WR005370.
28. Kollet SJ, Maxwell RM. 2006. Integrated surface-groundwater flow modeling: a free-surface overland flow boundary condition in a parallel groundwater flow model. Advances in Water Ressources 29: 945-958.
29. Kollet SJ. Maxwell RM. 2008. Capturing the influence of groundwater dynamics on land surface processes using an integrated, distributed watershed model. Water Resources Research 44: W02402, doi:10.1029/2007WR006004.
30. Koster RD, Suarez MJ, Ducharne A, Stieglitz M, Kumar P. 2000. A catchment-based approach to modeling land surface processes in a general circulation model: 1. Model structure. Journal of Geophysical Research 105(D20): 24, 809-24, 822.
31. Liang X, Lettenmaier DP, Wood EF, Burges SJ. 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research 99: 14, 415-14, 428.
32. Liang X, Xie Z, Huang M. 2003. A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model. Journal of Geophysical Research 108(D16): 8613, doi:10.1029/2002JD003090.
33. Lynch-Stieglitz M. 1994. The development and validation of a simple snow model for GISS GCM. Journal of Climate 7: 1842-1855.
34. Mackay DS, Band LE. 1998. Extraction and representation of nested catchment areas from digital elevation models in lake-dominated topography. Water Resources Research 34(4): 897-901.
35. Marks D, Dozier J, Frew J. 1984. Automated basin delineation from digital elevation data. Geo-processing 2: 299-311.
36. Maxwell RM, Miller NL. 2005. Development of a coupled land surface and groundwater model. Journal of Hydrometeorology 6: 233-247.
37. Miguez-Macho G, Fan Y, Weaver CP, Walko R, Robock A. 2007. Incorporating water table dynamics in climatevmodeling: 2. Formulation, validation, and soil moisture simulation. Journal of Geophysical Research 112: D13108, doi:10.1029/2006JD008112.
38. Newman BD, Wilcox BP, Archer SR, Breshears DD, Dahm CN, Duffy CJ, McDowell NG, Phillips FM, Scanlon BR, Vivoni ER. 2006. Ecohydrology of water-limited environments: a scientific vision. Water Resources Research 42: W06302, doi:10.1029/2005WR004141.
39. Niu GY, Yang ZL. 2004. The effects of canopy processes on snow surface energy and mass balances. Journal of Geophysical Research 109: D23111, doi:10.1029/2004JD004884.
40. Niu GY, Yang ZL. 2006. Effects of frozen soil on snowmelt runoff and soil water storage at a continental scale. Journal of Hydrometeorology 7(5): 937-952.
41. Niu GY, Troch PA, Paniconi C, Scott RL, Zeng X, Durcik M, Huxman T, Goodrich D, Pelletier J. 2012. An integrated modeling framework of catchment-scale ecohydrological processes: 2. The role of water subsidy by overland flow on vegetation dynamics. (submitted to Ecohydrology).
42. Niu GY, Yang ZL, Dickinson RE, Gulden LE. 2005. A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models. Journal of Geophysical Research 110: D21106, doi:10.1029/2005JD006111.
43. Niu GY, Yang ZL, Dickinson RE, Gulden LE, Su H. 2007. Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data. Journal of Geophysical Research 112: D07103, doi:10.1029/2006JD007522.
44. Niu GY, Yang ZL, Mitchell KE, Chen F, Ek MB, Barlage M, Kumar A, Manning K, Niyogi D, Rosero E, Tewari M, Xia YL. 2011. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements. Journal of Geophysical Research 116: D12109, doi:10.1029/2010JD015139.
45. O'Callaghan JF, Mark DM. 1984. The extraction of drainage networks from digital elevation data. Computer Vision, Graphics, and Image Processing 28: 323-344.
46. Oleson KW, Lawrence DM, Bonan GB, Flanner MG, Kluzek E, Lawrence PJ, Levis S, Swenson SC, PThornton PE, Dai A, Decker M, Dickinson R, Feddema J, Heald CL, Hoffman F, Lamarque JF, Mahowald N, Niu GY, Qian T, Randerson J, Running S, Sakaguchi K, Slater A, Stöckli R, Wang A, Yang ZL, Zeng X, Zeng X. 2010. Technical Description of version 4.0 of the Community Land Model (CLM), NCAR Technical Note NCAR/TN-478+STR, National Center for Atmospheric Research, Boulder, Colorado, 266pp. (available at http://www.ccsm.ucar.edu/models/ccsm4.0/clm/CLM4_Tech_Note.pdf).
47. Orlandini S. 2002. On the spatial variation of resistance to flow in upland channel networks. Water Resources Research 38(10): 1197, doi:10.1029/2001WR001187.
48. Orlandini S, Moretti G. 2009a. Determination of surface flow paths from gridded elevation data. Water Resources Research 45: W03417, doi:10.1029/2008WR007099.
49. Orlandini S, Moretti G. 2009b. Comment on "Global search algorithm for nondispersive flow path extraction" by Kyungrock Paik. Journal of Geophysical Research 114: F04004, doi:10.1029/2008JF001193.
50. Orlandini S, Rosso R. 1996. Diffusion wave modeling of distributed catchment dynamics. Journal of Hydrological Engineering 1(3): 103-113.
51. Orlandini S, Rosso R. 1998. Parameterization of stream channel geometry in the distributed modeling of catchment dynamics. Water Resources Research 34(8): 1971-1985.
52. Paniconi C, Putti M. 1994. A comparison of Picard and Newton iteration in the numerical solution of multidimensional variably saturated flow problems. Water Resources Research 30(12): 3357-3374.
53. Paniconi C, Wood EF. 1993. A detailed model for simulation of catchment scale subsurface hydrologic processes. Water Resources Research 29(6): 1601-1620.
54. Peters-Lidard CD, Houser PR, Tian Y, Kumar SV, Geiger J, Olden S, Lighty L, Doty B, Dirmeyer P, Adams J, Mitchell K, Wood EF, Sheffield J. 2007. High-performance Earth system modeling with NASA/GSFC's Land Information System. Innovations in Systems and Software Engineering 3(3): 157-165. DOI:10.1007/s11334-007-0028-x
55. Rigon R, Bertoldi G, Over TM. 2006. GEOtop: a distributed hydrological model with coupled water and energy budgets. Journal of Hydrometeorology 7(3): 371-388.
56. Riley WJ, Subin ZM, Lawrence DM, Swenson SC, Torn MS, Meng L, Mahowald NM, Hess P. 2012. Barriers to predicting changes in global terrestrial methane fluxes: analyses using CLM4Me, a methane biogeochemistry model integrated in CESM. Biogeosciences 8: 1925-1953.
57. 2 production and efflux model. Water Resources Research 47: W00J04, doi:10.1029/2010WR009941.
58. Schaake JC, Koren VI, Duan QY, Mitchell KE, Chen F. 1996. Simple water balance model for estimating runoff at different spatial and temporal scales. Journal of Geophysical Research 101: 7461-7475.
59. 2) length scales. Journal of Geophysical Research 97(D17): 19, 033-19, 059.
60. Seuffert G, Gross P, Simmer C. 2002. The influence of hydrologic modeling on the predicted local weather: two-way coupling of a mesoscale weather prediction model and a land surface hydrologic model. Journal of Hydrometeorology 3: 505-523.
61. Shen CP, Phanikumar MS. 2010. A process-based, distributed hydrologic model based on a large-scale method for surface-subsurface coupling. Advances in Water Resources 33: 1524-1541.
62. Sivapalan M, Beven K, Wood EF. 1987. On hydrologic similarity: 2. A scaled model of storm runoff production. Water Resources Research 23: 2266-2278.
63. Sulis M, Meyerhoff SB, Paniconi C, Maxwell RM, Putti M, Kollet SJ. 2010. A comparison of two physics-based numerical models for simulating surface water-groundwater interactions. Advances in Water Resources 33: 456-467, doi:10.1016/j.advwatres.2010.01.010.
64. Tarboton DG. 1997. A new method for the determination of flow directions and contributing areas in grid digital elevation models. Water Resources Research 33(2): 309-319.
65. Thompson SE, Harman CJ, Troch PA, Brooks PD, Sivapalan M. 2011. Spatial scale dependence of ecohydrologically mediated water balance partitioning: a synthesis framework for catchment ecohydrology. Water Resources Research 47: W00J03, doi:10.1029/2010WR009998.
66. Weill S, Mazzia A, Putti M, Paniconi C. 2011. Coupling water flow and solute transport into a physically-based surface-subsurface hydrological model. Advances in Water Resources 34: 128-136, doi:10.1016/j.advwatres.2010.10.001.
67. Xia Y, Mitchell K, Ek M, Cosgrove B, Sheffield J, Luo L, Alonge C, Wei H, Meng J, Livneh B, Duan Q, Lohmann D. 2012. 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. Journal of Geophysical Research 117: D03109, doi:10.1029/2011JD016048.
68. Xie ZH, Di ZH, Luo ZD, Ma Q. 2012. A quasi-three-dimensional variably saturated groundwater flow model for climate modeling. Journal of Hydrometeorology 13: 27-46.
69. Yang ZL, Niu GY. 2003. The versatile integrator of surface and atmosphere processes (VISA) part I: model description. Global Planet Change 38: 175-189.
70. Yeh PJF, Eltahir EAB. 2005. Representation of water table dynamics in a land surface scheme. Part I: model development. Journal of Climate 18: 1861-1880.
71. York JP, Person M, Gutowski WJ, Winter TC. 2002. Putting aquifers into atmospheric simulation models: An example from the Mill Creek Watershed, northeastern Kansas. Advances in Water Resources 25(2): 221-238.
72. Yu ZB, Pollard D, Cheng L. 2006. On continental-scale hydrologic simulations with a coupled hydrologic model. Journal of Hydrology 331: 110-124.
73. Zeng XD, Zeng X, Barlage M. 2008. Growing temperate shrubs over arid and semiarid regions in the NCAR Dynamic Global Vegetation Model (CLM-DGVM). Global Biogeochemical Cycles 22: GB3003, doi: 10.1029/2007GB003014.