Abstract
The Regional Atmospheric Modeling System (RAMS)-based Forest Large-Eddy Simulation (RAFLES), developed and evaluated here, is used to explore the effects of three-dimensional canopy heterogeneity, at the individual tree scale, on the statistical properties of turbulence most pertinent to mass and momentum transfer. In RAFLES, the canopy interacts with air by exerting a drag force, by restricting the open volume and apertures available for flow (i.e. finite porosity), and by acting as a heterogeneous source of heat and moisture. The first and second statistical moments of the velocity and flux profiles computed by RAFLES are compared with turbulent velocity and scalar flux measurements collected during spring and winter days. The observations were made at a meteorological tower situated within a southern hardwood canopy at the Duke Forest site, near Durham, North Carolina, U.S.A. Each of the days analyzed is characterized by distinct regimes of atmospheric stability and canopy foliage distribution conditions. RAFLES results agreed with the 30-min averaged flow statistics profiles measured at this single tower. Following this intercomparison, two case studies are numerically considered representing end-members of foliage and midday atmospheric stability conditions: one representing the winter season with strong winds above a sparse canopy and a slightly unstable boundary layer; the other representing the spring season with a dense canopy, calm conditions, and a strongly convective boundary layer. In each case, results from the control canopy, simulating the observed heterogeneous canopy structure at the Duke Forest hardwood stand, are compared with a test case that also includes heterogeneity commensurate in scale to tree-fall gaps. The effects of such tree-scale canopy heterogeneity on the flow are explored at three levels pertinent to biosphere-atmosphere exchange. The first level (zero-dimensional) considers the effects of such heterogeneity on the common representation of the canopy via length scales such as the zero-plane displacement, the aerodynamic roughness length, the surface-layer depth, and the eddy-penetration depth. The second level (one-dimensional) considers the normalized horizontally-averaged profiles of the first and second moments of the flow to assess how tree-scale heterogeneities disturb the entire planar-averaged profiles from their canonical (and well-studied planar-homogeneous) values inside the canopy and in the surface layer. The third level (three-dimensional) considers the effects of such tree-scale heterogeneities on the spatial variability of the ejection-sweep cycle and its propagation to momentum and mass fluxes. From these comparisons, it is shown that such microscale heterogeneity leads to increased spatial correlations between attributes of the ejection-sweep cycle and measures of canopy heterogeneity, resulting in correlated spatial heterogeneity in fluxes. This heterogeneity persisted up to four times the mean height of the canopy (h c ) for some variables. Interestingly, this estimate is in agreement with the working definition of the thickness of the canopy roughness sublayer (2h c –5h c ).
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Adcroft A, Hill C, Marshall J (1997) Representation of topography by shaved cells in a height coordinate ocean model. Mon Weather Rev 125: 2293–2315
Albertson JD, Katul GG, Wiberg P (2001) Relative importance of local and regional controls on coupled water, carbon, and energy fluxes. Adv Water Resour 24: 1103–1118
Arakawa A, Lamb VR (1977) Computational design of the basic dynamical processes of the UCLA general circulation model. In: Chang J (eds) Methods in computational physics: advances in research and applications. Academic Press, London, pp 174–265
Asner GP, Keller M, Silva JNM (2004) Spatial and temporal dynamics of forest canopy gaps following selective logging in the eastern Amazon. Glob Chang Biol 10: 765–783
Asner GP, Knapp DE, Broadbent EN, Oliveira PJC, Keller M, Silva JN (2005) Selective logging in the Brazilian Amazon. Science 310: 480–482
Avissar R, Schmidt T (1998) An evaluation of the scale at which ground-surface heat flux patchiness affects the convective boundary layer using large-eddy simulations. J Atmos Sci 55: 2666–2689
Avissar R, Eloranta EW, Gurer K, Tripoli GJ (1998) An evaluation of the large-eddy simulation option of the regional atmospheric modeling system in simulating a convective boundary layer: a FIFE case study. J Atmos Sci 55: 1109–1130
Baldocchi D, Finnigan J, Wilson K, Paw U KT, Falge E (2000) On measuring net ecosystem carbon exchange over tall vegetation on complex terrain. Boundary-Layer Meteorol 96: 257–291
Basu S, Porté-Agel F (2006) Large-eddy simulations of stably stratified atmospheric boundary layer turbulence: a scale-dependent dynamic modeling approach. J Atmos Sci 63: 2074–2091
Belcher SE, Jerram N, Hunt JCR (2003) Adjustment of a turbulent boundary layer to a canopy of roughness elements. J Fluid Mech 488: 369–398
Belcher SE, Finnigan JJ, Harman IN (2008) Flows through forest canopies in complex terrain. Ecol Appl 18: 1436–1453
Bhushan S, Warsi ZUA (2005) Large eddy simulation of turbulent channel flow using an algebraic model. Int J Numer Methods Fluids 49: 489–519
Bhushan S, Warsi ZUA, Walters DK (2006) Modeling of energy backscatter via an algebraic subgrid-stress model. AIAA J 44: 837–847
Bohrer G, Mourad H, Laursen TA, Drewry D, Avissar R, Poggi D, Oren R, Katul GG (2005a) Finite-element tree crown hydrodynamics model (FETCH) using porous media flow within branching elements—a new representation of tree hydrodynamics. Water Resour Res 41: W11404. doi:10.1029/2005WR004181
Bohrer G, Nathan R, Volis S (2005b) Effects of long-distance dispersal for metapopulation survival and genetic structure at ecological time and spatial scales. J Ecol 93: 1029–1040
Bohrer G, Wolosin M, Brady R, Avissar R (2007) A virtual canopy generator (V-CaGe) for modeling complex heterogeneous forest canopies at high resolution. Tellus Ser B Chem Phys Meteorol 59: 566–576
Bohrer G, Longo M, Zielinski DJ, Brady R (2008a) VR visualisation as an interdisciplinary collaborative data exploration tool for large eddy simulations of biosphere-atmosphere interactions. Advances in visual computing—4th international symposium, ISVC 2008, Las Vegas, NV. Lecture Notes in Computer Science, vol 5358, pp 866–876
Bohrer G, Nathan R, Katul GG, Walko RL, Avissar R (2008b) Effects of canopy heterogeneity, seed abscission, and inertia on wind-driven dispersal kernels of tree seeds. J Ecol 96: 569–580
Bou-Zeid E, Meneveau C, Parlange MB (2004) Large-eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: blending height and effective surface roughness. Water Resour Res 40: WR002475. doi:10.1029/2003WR002475
Bou-Zeid E, Parlange MB, Meneveau C (2007) On the parameterization of surface roughness at regional scales. J Atmos Sci 64: 216–227
Bou-Zeid E, Vercauteren N, Parlange MB, Meneveau C (2008) Scale dependence of subgrid-scale model coefficients: an a priori study. Phys Fluid 20: 115106
Breshears DD, Cobb NS, Rich PM, Price KP, Allen CD, Balice RG, Romme WH, Kastens JH, Floyd ML, Belnap J, Anderson JJ, Myers OB, Meyer CW (2005) Regional vegetation die-off in response to global-change-type drought. Proc Natl Acad Sci USA 102: 15144–15148
Cassiani M, Katul GG, Albertson JD (2008) The effects of canopy leaf area index on airflow across forest edges: large eddy simulation and analytical results. Boundary-Layer Meteorol 126: 433–460
Cava D, Katul GG (2008) Spectral short-circuiting and wake production within the canopy trunk space of an alpine hardwood forest. Boundary-Layer Meteorol 126: 415–431
Chambers SD, Beringer J, Randerson JT, Chapin FS (2005) Fire effects on net radiation and energy partitioning: contrasting responses of tundra and boreal forest ecosystems. J Geophys Res 110: D09106. doi:10.1029/2004JD005299
Chow FK, Street RL, Xue M, Ferziger JH (2005) Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow. J Atmos Sci 62: 2058–2077
Clark DB, Olivas PC, Oberbauer SF, Clark DA, Ryan MG (2008) First direct landscape-scale measurement of tropical rain forest leaf area index, a key driver of global primary productivity. Ecol Lett 11: 163–172
Collins DC, Avissar R (1994) An evaluation with the fourier amplitude sensitivity test (Fast) of which land-surface parameters are of greatest importance in atmospheric modeling. J Clim 7: 681–703
Deardorff JW (1980) Stratocumulus-capped mixed layers derived from a 3-dimensional model. Boundary-Layer Meteorol 18: 495–527
Detto M, Montaldo N, Albertson JD, Mancini M, Katul G (2006) Soil moisture and vegetation controls on evapotranspiration in a heterogeneous Mediterranean ecosystem on Sardinia, Italy. Water Resour Res 42: W08419. doi:10.1029/2005WR004693
Detto M, Katul GG, Siqueira M, Juang J-H, Stoy PC (2008) The structure of turbulence near a tall forest edge: the backward facing step flow analogy revisited. Ecol Appl 18: 1420–1435
Dias MAFS, Regnier P (1996) Simulation of mesoscale circulations in a deforested area of Rondônia in the dry season. In: Gash JHC, Nobre CA, Roberts JM, Victoria RL (eds) Amazonian deforestation and climate. Wiley, Chichester, pp 531–547
Dupont S, Brunet Y (2008a) Influence of foliar density profile on canopy flow: a large-eddy simulation study. Agric Meteorol 148: 976–990
Dupont S, Brunet Y (2008b) Edge flow and canopy structure: a large-eddy simulation study. Boundary-Layer Meteorol 126: 51–71
Dwyer MJ, Patton EG, Shaw RH (1997) Turbulent kinetic energy budgets from a large-eddy simulation of airflow above and within a forest canopy. Boundary-Layer Meteorol 84: 23–43
Eichinger WE, Cooper DI (2007) Using lidar remote sensing for spatially resolved measurements of evaporation and other meteorological parameters. Agron J 99: 255–271
Finnigan J (2000) Turbulence in plant canopies. Annu Rev Fluid Mech 32: 519–571
Finnigan J (2004) The footprint concept in complex terrain. Agric Meteorol 127: 117–129
Fisch G, Culf AD, Nobre CA (1996) Modelling convective boundary layer growth in Rondônia. In: Gash JHC, Nobre CA, Roberts JM, Victoria RL (eds) Amazonian deforestation and climate. Wiley, Chichester, pp 425–435
Flesch TK, Wilson JD (1999) Wind and remnant tree sway in forest cutblocks. I. Measured winds in experimental cutblocks. Agric Meteorol 93: 229–242
Foken T, Leclerc MY (2004) Methods and limitations in validation of footprint models. Agric Meteorol 127: 223–234
Hadfield MG, Cotton WR, Pielke RA (1991) Large-eddy simulations of thermally forced circulations in the convective boundary-layer. 1. A small-scale circulation with zero wind. Boundary-Layer Meteorol 57: 79–114
Haltiner GJ, Williams RT (1980) Numerical prediction and dynamic meteorology. Wiley, New York, p 477
Harman IN, Finnigan JJ (2007) A simple unified theory for flow in the canopy and roughness sublayer. Boundary-Layer Meteorol 123: 339–363
Hsieh CI, Katul G, Chi T (2000) An approximate analytical model for footprint estimation of scaler fluxes in thermally stratified atmospheric flows. Adv Water Resour 23: 765–772
Hsieh CI, Siqueira M, Katul G, Chu CR (2003) Predicting scalar source-sink and flux distributions within a forest canopy using a 2-D Lagrangian stochastic dispersion model. Boundary-Layer Meteorol 109: 113–138
Hurtt GC, Dubayah R, Drake J, Moorcroft PR, Pacala SW, Blair JB, Fearon MG (2004) Beyond potential vegetation: combining lidar data and a height-structured model for carbon studies. Ecol Appl 14: 873–883
Jackson PS (1981) On the displacement height in the logarithmic velocity profile. J Fluid Mech 111: 15–25
Juang J-Y, Katul GG, Porporato A, Stoy PC, Siqueira MS, Detto M, Kim HS, Oren R (2007) Eco-hydrological controls on summertime convective rainfall triggers. Glob Chang Biol 13: 887–896
Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds B, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77: 437–471
Kanda M, Moriwaki R, Kasamatsu F (2004) Large-eddy simulation of turbulent organized structures within and above explicitly resolved cube arrays. Boundary-Layer Meteorol 112: 343–368
Katul GG, Albertson JD (1998) An investigation of higher-order closure models for a forested canopy. Boundary-Layer Meteorol 89: 47–74
Katul GG, Chang WH (1999) Principal length scales in second-order closure models for canopy turbulence. J Appl Meteorol 38: 1631–1643
Katul GG, Chu CR, Parlange MB, Albertson JD, Ortenburger TA (1995) Low-wave-number spectral characteristics of velocity and temperature in the atmospheric surface-layer. J Geophys Res 100: 14243–14255
Katul G, Hsieh CI, Kuhn G, Ellsworth DS, Nie DL (1997) Turbulent eddy motion at the forest-atmosphere interface. J Geophys Res 102: 13409–13421
Katul GG, Geron CD, Hsieh CI, Vidakovic B, Guenther AB (1998) Active turbulence and scalar transport near the forest-atmosphere interface. J Appl Meteorol 37: 1533–1546
Katul G, Hsieh CI, Bowling D, Clark K, Shurpali N, Turnipseed A, Albertson J, Tu K, Hollinger D, Evans B, Offerle B, Anderson D, Ellsworth D, Vogel C, Oren R (1999) Spatial variability of turbulent fluxes in the roughness sublayer of an even-aged pine forest. Boundary-Layer Meteorol 93: 1–28
Katul GG, Mahrt L, Poggi D, Sanz C (2004) One- and two-equation models for canopy turbulence. Boundary-Layer Meteorol 113: 81–109
Katul GG, Poggi D, Cava D, Finnigan J (2006) The relative importance of ejections and sweeps to momentum transfer in the atmospheric boundary layer. Boundary-Layer Meteorol 120: 367–375
Klemp JB, Wilhelmson RB (1978) Simulation of 3-dimensional convective storm dynamics. J Atmos Sci 35: 1070–1096
Kruijt B, Elbers JA, von Randow C, Araujo AC, Oliveira PJ, Culf A, Manzi AO, Nobre AD, Kabat P, Moors EJ (2004) The robustness of eddy correlation fluxes for Amazon rain forest conditions. Ecol Appl 14: S101–S113
Launiainen S, Vesala T, Mölder M, Mammarella I, Smolander S, Rannik Ü, Kolar P, Har P, Lindroth A, Katul GG (2007) Vertical variability and effect of stability on turbulence characteristics down to the floor of a pine forest. Tellus Ser B Chem Phys Meteorol 59: 919–936
Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002) Lidar remote sensing for ecosystem studies. Bioscience 52: 19–30
Li B, Avissar R (1994) The impact of spatial variability of land-surface characteristics on land-surface heat fluxes. J Clim 7: 527–537
Liu YQ, Avissar R (1996) Sensitivity of shallow convective precipitation induced by land surface heterogeneities to dynamical and cloud microphysical parameters. J Geophys Res 101: 7477–7497
Massman WJ, Weil JC (1999) An analytical one-dimensional second-order closure model of turbulence statistics and the Lagrangian time scale within and above plant canopies of arbitrary structure. Boundary-Layer Meteorol 91: 81–107
McCarthy HR, Oren R, Finzi AC, Ellsworth DS, Kim H-S, Johnsen KH, Millar B (2007) Temporal dynamics and spatial variability in the enhancement of canopy leaf area under elevated atmospheric CO2. Glob Chang Biol 13: 2479–2497
Medvigy D, Walko RL, Avissar R (2008) Modeling interannual variability of the Amazon hydroclimate. Geophys Res Lett 35. doi:10.1029/2008GL034941
Meyers TP, Baldocchi DD (1991) The budgets of turbulent kinetic-energy and Reynolds stress within and above a deciduous forest. Agric Meteorol 53: 207–222
Moorcroft PR, Hurtt GC, Pacala SW (2001) A method for scaling vegetation dynamics: the ecosystem demography model (ED). Ecol Monogr 71: 557–585
Naidu SL, DeLucia EH, Thomas RB (1998) Contrasting patterns of biomass allocation in dominant and suppressed loblolly pine. Can J Res 28: 1116–1124
Nakai T, Sumida A, Matsumoto K, Daikoku K, Iida S, Park H, Miyahara M, Kodama Y, Kononov AV, Maximov TC, Yabuki H, Hara T, Ohta T (2008) Aerodynamic scaling for estimating the mean height of dense canopies. Boundary-Layer Meteorol 128: 423–443
Negrón JF, Wilson JL, Anhold JA (2000) Stand conditions associated with roundheaded pine beetle (Coleoptera: Scolytidae) infestations in Arizona and Utah. Environ Entomol 29: 20–27
Nepf H, Ghisalberti M, White B, Murphy E (2007) Retention time and dispersion associated with submerged aquatic canopies. Water Resour Res 43: W04422. doi:10.1029/2006WR005362
Novick KA, Stoy PC, Katul GG, Ellsworth DS, Siqueira MBS, Juang J, Oren R (2004) Carbon dioxide and water vapor exchange in a warm temperate grassland. Oecologia 138: 259–274
Oren R, Hseih CI, Stoy P, Albertson J, McCarthy HR, Harrell P, Katul GG (2006) Estimating the uncertainty in annual net ecosystem carbon exchange: spatial variation in turbulent fluxes and sampling errors in eddy-covariance measurements. Glob Chang Biol 12: 883–896
Orlanski I (1975) A rational subdivision of scales for atmospheric processes. Bull Am Meteorol Soc 56: 527–530
Palace M, Keller M, Asner GP, Hagen S, Braswell B (2008) Amazon forest structure from IKONOS satellite data and the automated characterization of forest canopy properties. Biotropica 40: 141–150
Patton EG (1997) Large-eddy simulation of turbulent flow above and within a plant canopy. Atmospheric Science, University of California Davis, 132 pp
Patton EG, Horst TW, Lenschow DH, Sullivan PP, Oncley S, Burns S, Guenther A, Held A, Karl T, Mayor S, Rizzo L, Spuler S, Sun J, Turnipseed A, Allwine E, Edburg S, Lamb B, Avissar R, Holder HE, Calhoun R, Kleissl J, Massman W, Paw U KT, Weil JC (2008) The canopy horizontal array turbulecne study (CHATS). In: The 18th symposium on boundary layers and turbulence
Pielke RA, Cotton WR, Walko RL, Tremback CJ, Lyons WA, Grasso LD, Nicholls ME, Moran MD, Wesley DA, Lee TJ, Copeland JH (1992) A comprehensive meteorological modeling system—RAMS. Meteorol Atmos Phys 49: 69–91
Poggi D, Katul GG (2006) Two-dimensional scalar spectra in the deeper layers of a dense and uniform model canopy. Boundary-Layer Meteorol 121: 267–281
Poggi D, Katul GG, Albertson JD (2004a) Momentum transfer and turbulent kinetic energy budgets within a dense model canopy. Boundary-Layer Meteorol 111: 589–614
Poggi D, Porporato A, Ridolfi L, Albertson JD, Katul GG (2004b) Interaction between large and small scales in the canopy sublayer. Geophys Res Lett 31: L05102. doi:10.1029/2003GL018611
Poggi D, Porporato A, Ridolfi L, Albertson JD, Katul GG (2004c) The effect of vegetation density on canopy sub-layer turbulence. Boundary-Layer Meteorol 111: 565–587
Prabha TV, Karipot A, Binford MW (2007) Characteristics of secondary circulations over an inhomogeneous surface simulated with large-eddy simulation. Boundary-Layer Meteorol 123: 239–261
Rannik Ü, Aubinet M, Kurbanmuradov O, Sabelfeld KK, Markkanen T, Vesala T (2000) Footprint analysis for measurements over a heterogeneous forest. Boundary-Layer Meteorol 97: 137–166
Raupach MR (1989a) Applying Lagrangian fluid-mechanics to infer scalar source distributions from concentration profiles in plant canopies. Agric Meteorol 47: 85–108
Raupach MR (1989b) A practical Lagrangian method for relating scalar concentrations to source distributions in vegetation canopies. Q J Roy Meteorol Soc 115: 609–632
Raupach MR, Thom AS (1981) Turbulence in and above plant canopies. Annu Rev Fluid Mech 13: 97–129
Raupach MR, Finnigan JJ, Brunet Y (1996) Coherent eddies and turbulence in vegetation canopies: the mixing-layer analogy. Boundary-Layer Meteorol 78: 351–382
Scanlon TM, Albertson JD (2003) Water availability and the spatial complexity of CO2, water, and energy fluxes over a heterogeneous sparse canopy. J Hydrometeorol 4: 798–809
Schäfer KVR (2002) Effects of increased atmospheric CO2 concentrations on water and carbon relations of four co-occurring tree species. Nicolas School of the Environment and Earth Sciences, Duke University, 208 pp
Schmid HP (2002) Footprint modeling for vegetation atmosphere exchange studies: a review and perspective. Agric Meteorol 113: 159–183
Shaw RH, Patton EG (2003) Canopy element influences on resolved- and subgrid-scale energy within a large-eddy simulation. Agric Meteorol 115: 5–17
Shaw RH, Schumann U (1992) Large-eddy simulation of turbulent-flow above and within a forest. Boundary-Layer Meteorol 61: 47–64
Shaw RH, Denhartog G, Neumann HH (1988) Influence of foliar density and thermal-stability on profiles of reynolds stress and turbulence intensity in a deciduous forest. Boundary-Layer Meteorol 45: 391–409
Sogachev A, Leclerc MY, Karipot A, Zhang G, Vesala T (2005) Effect of clearcuts on footprints and flux measurements above a forest canopy. Agric Meteorol 133: 182–196
Stoll R, Porte-Agel F (2006a) Dynamic subgrid-scale models for momentum and scalar fluxes in large-eddy simulations of neutrally stratified atmospheric boundary layers over heterogeneous terrain. Water Resour Res 42: W01409. doi:10.1029/2005WR003989
Stoll R, Porte-Agel F (2006b) Effect of roughness on surface boundary conditions for large-eddy simulation. Boundary-Layer Meteorol 118: 169–187
Stoll R, Porte-Agel F (2008) Large-eddy simulation of the stable atmospheric boundary layer using dynamic models with different averaging schemes. Boundary-Layer Meteorol 126: 1–28
Stoy PC, Katul GG, Siqueira MBS, Juang JY, Novick KA, Uebelherr JM, Oren R (2006) An evaluation of models for partitioning eddy covariance-measured net ecosystem exchange into photosynthesis and respiration. Agric Meteorol 141: 2–18
Su HB, Shaw RH, Paw U KT, Moeng CH, Sullivan PP (1998) Turbulent statistics of neutrally stratified flow within and above a sparse forest from large-eddy simulation and field observations. Boundary-Layer Meteorol 88: 363–397
Su HB, Schmid HP, Vogel CS, Curtis PS (2008) Effects of canopy morphology and thermal stability on mean flow and turbulence statistics observed inside a mixed hardwood forest. Agric Meteorol 148: 862–882
Thomas C, Foken T (2007) Flux contribution of coherent structures and its implications for the exchange of energy and matter in a tall spruce canopy. Boundary-Layer Meteorol 123: 317–337
Thomas C, Mayer JC, Meixner FX, Foken T (2006) Analysis of low-frequency turbulence above tall vegetation using a Doppler sodar. Boundary-Layer Meteorol 119: 563–587
Tremback CJ, Walko RL, Bell MJ (2004) RAMS/HYPACT evaluation and visualization utilities, version 2.5 user guide. ATMET LLC, Boulder, CO, p 32
Volis S, Bohrer G, Oostermeijer G, Van Tienderen P (2005) Regional consequences of local population demography and genetics in relation to habitat management in Gentiana pneumonanthe. Conserv Biol 19: 357–367
Walko RL, Avissar R (2008) The ocean-land-atmosphere model (OLAM). Part II: formulation and tests of the nonhydrostatic dynamic core. Mon Weather Rev 136: 4045–4062
Weishampel JF, Drake JB, Cooper A, Blair JB, Hofton M (2007) Forest canopy recovery from the 1938 hurricane and subsequent salvage damage measured with airborne LiDAR. Remote Sens Environ 109: 142–153
Wilson NR, Shaw RH (1977) Higher-order closure model for canopy flow. J Appl Meteorol 16: 1197–1205
Yang B, Morse AP, Shaw RH, U KTP (2006a) Large-eddy simulation of turbulent flow across a forest edge. Part II: momentum and turbulent kinetic energy budgets. Boundary-Layer Meteorol 121: 433–457
Yang B, Raupach M, Shaw RH, U KTP, Morse AP (2006b) Large-eddy simulation of turbulent flow across a forest edge. Part I: flow statistics. Boundary-Layer Meteorol 119: 377–412. doi:10.1007/s10546-006-9083-3
Yue W, Parlange MB, Meneveau C, Zhu W, van Hout R, Katz J (2007) Large-eddy simulations of plant canopy flows using plant-scale representation. Boundary-Layer Meteorol 124: 183–203. doi:10.1007/s10546-007-9173-x
Yue W, Meneveau C, Parlange MB, Zhu W, Kang HS, Katz J (2008) Turbulent kinetic energy budgets in a model canopy: comparisons between LES and wind-tunnel experiments. Environ Fluid Mech 8: 73–95
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Bohrer, G., Katul, G.G., Walko, R.L. et al. Exploring the Effects of Microscale Structural Heterogeneity of Forest Canopies Using Large-Eddy Simulations. Boundary-Layer Meteorol 132, 351–382 (2009). https://doi.org/10.1007/s10546-009-9404-4
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DOI: https://doi.org/10.1007/s10546-009-9404-4