Abstract
In this study, a newly developed direct numerical simulation (DNS) solver is utilized for the simulations of numerous stably stratified open-channel flows with bulk Reynolds number (Re b ) spanning 3400–16,900. Overall, the simulated bulk Richardson number (\(Ri_b\)) ranges from 0.08 (weakly stable) to 0.49 (very stable). Thus, both continuously turbulent and (globally) intermittently turbulent cases are represented in the DNS database. Using this comprehensive database, various flux-based and gradient-based similarity relationships for energy dissipation rate (ε) and temperature structure parameter (\(C_T^2\)) are developed. Interestingly, these relationships exhibit only minor dependency on Re b . In order to further probe into this Re b -effect, similarity relationships are also estimated from a large-eddy simulation (LES) run of an idealized atmospheric boundary layer (very high Re b ) case study. Despite the fundamental differences in the estimation of ε and \(C_T^2\) from the DNS- and the LES-generated data, the resulting similarity relationships, especially the gradient-based ones, from these numerical approaches are found to be remarkably similar. More importantly, these simulated relationships are also comparable, at least qualitatively, to the traditional observational data-based ones. Since these simulated similarity relationships do not require Taylor’s hypothesis and do not suffer from mesoscale disturbances and/or measurement noise, they have the potential to complement the existing similarity relationships.
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References
Aivalis KG, Sreenivasan KR, Tsuji Y, Klewicki JC, Biltoft CA (2002) Temperature structure functions for air flow over moderately heated ground. Phys Fluids 14(7):2439–2446
Andreas EL (1989) Two-wavelength method of measuring path-averaged turbulent surface heat fluxes. J Atmos Ocean Technol 6(2):280–292
Andreas EL, Thompson B (1990) Selected papers on turbulence in a refractive medium. SPIE Milest Ser 25:3–688
Andrén A, Moeng CH (1993) Single-point closures in a neutrally stratified boundary layer. J Atmos Sci 50(20):3366–3379
Andren A, Brown A, Mason P, Graf J, Schumann U, Moeng CH, Nieuwstadt F (1994) Large-eddy simulation of a neutrally stratified boundary layer: A comparison of four computer codes. Q J R Meteorol Soc 120(520):1457–1484
Andrews LC, Phillips RL (2005) Laser beam propagation through random media, vol 152. SPIE Press, Bellingham
Ansorge C, Mellado JP (2014) Global intermittency and collapsing turbulence in the stratified planetary boundary layer. Boundary-Layer Meteorol 153(1):89–116
Baas P, Steeneveld GJ, Van De Wiel BJH, Holtslag AAM (2006) Exploring self-correlation in flux–gradient relationships for stably stratified conditions. J Atmos Sci 63(11):3045–3054
Basu S, He P (2014) Quantifying the dependence of temperature and refractive index structure parameters on atmospheric stability using direct and large-eddy simulations. In: Propagation through and characterization of distributed volume turbulence. Optical Society of America, pp PM2E-3
Basu S, Porté-Agel F (2006) Large-eddy simulation of stably stratified atmospheric boundary layer turbulence: a scale-dependent dynamic modeling approach. J Atmos Sci 63(8):2074–2091
Basu S, Vinuesa JF, Swift A (2008) Dynamic LES modeling of a diurnal cycle. J Appl Meteorol Climatol 47(4):1156–1174
Beare RJ, Macvean MK, Holtslag AAM, Cuxart J, Esau I, Golaz JC, Jimenez MA, Khairoutdinov M, Kosovic B, Lewellen D, Lund TS, Lundquist JK, Mccabe A, Moene AF, Noh Y, Raasch S, Sullivan P (2006) An intercomparison of large-eddy simulations of the stable boundary layer. Boundary-Layer Meteorol 118(2):247–272
Brethouwer G, Duguet Y, Schlatter P (2012) Turbulent–laminar coexistence in wall flows with Coriolis, buoyancy or Lorentz forces. J Fluid Mech 704:137–172
Bufton JL (1975) A radiosonde thermal sensor technique for measurement of atmospheric turbulence. Goddard Space Flight Center, NASA TN D-7867
Businger JA, Wyngaard JC, Izumi Y, Bradley EF (1971) Flux–profile relationships in the atmospheric surface layer. J Atmos Sci 28(2):181–189
Caldwell D, Van Atta C, Helland K (1972) A laboratory study of the turbulent Ekman layer. Geophys Astrophys Fluid Dyn 3(1):125–160
Caughey SJ, Wyngaard JC, Kaimal JC (1979) Turbulence in the evolving stable boundary layer. J Atmos Sci 36(6):1041–1052
Cerutti S, Meneveau C (2000) Statistics of filtered velocity in grid and wake turbulence. Phys Fluids 12(5):1143–1165
Cheinet S, Cumin P (2011) Local structure parameters of temperature and humidity in the entrainment-drying convective boundary layer: a large-eddy simulation analysis. J Appl Meteorol Climatol 50(2):472–481
Cheinet S, Siebesma AP (2009) Variability of local structure parameters in the convective boundary layer. J Atmos Sci 66(4):1002–1017
Coleman GN (1999) Similarity statistics from a direct numerical simulation of the neutrally stratified planetary boundary layer. J Atmos Sci 56(6):891–900
Corrsin S (1951) On the spectrum of isotropic temperature fluctuations in an isotropic turbulence. J Appl Phys 22(4):469–473
Coulter RL, Doran JC (2002) Spatial and temporal occurrences of intermittent turbulence during CASES-99. Boundary-Layer Meteorol 105(2):329–349
Cullen NJ, Steffen K, Blanken PD (2007) Nonstationarity of turbulent heat fluxes at Summit, Greenland. Boundary-Layer Meteorol 122(2):439–455
Deardorff JW (1970) Convective velocity and temperature scales for the unstable planetary boundary layer and for Rayleigh convection. J Atmos Sci 27(8):1211–1213
Deardorff JW (1972) Numerical investigation of neutral and unstable planetary boundary layers. J Atmos Sci 29(1):91–115
Dyer A (1974) A review of flux–profile relationships. Boundary-Layer Meteorol 7(3):363–372
Flores O, Riley JJ (2011) Analysis of turbulence collapse in the stably stratified surface layer using direct numerical simulation. Boundary-Layer Meteorol 139(2):241–259
Frenzen P, Vogel CA (2001) Further studies of atmospheric turbulence in layers near the surface: scaling the TKE budget above the roughness sublayer. Boundary-Layer Meteorol 99(2):173–206
Frisch U (1995) Turbulence: the legacy of AN Kolmogorov. Cambridge University Press, Cambridge
García-Villalba M, del Álamo JC (2011) Turbulence modification by stable stratification in channel flow. Phys Fluids 23:045104
Hartogensis OK, de Bruin HAR (2005) Monin–Obukhov similarity functions of the structure parameter of temperature and turbulent kinetic energy dissipation rate in the stable boundary layer. Boundary-Layer Meteorol 116(2):253–276
He P, Basu S (2015) Direct numerical simulation of intermittent turbulence under stably stratified conditions. Nonlinear Process Geophys 22:447–471
Högström U (1990) Analysis of turbulence structure in the surface layer with a modified similarity formulation for near neutral conditions. J Atmos Sci 47(16):1949–1972
Holtslag B (2006) Preface: GEWEX atmospheric boundary-layer study (GABLS) on stable boundary layers. Boundary-Layer Meteorol 118(2):243–246
Hsieh CI, Katul GG (1997) Dissipation methods, Taylor’s hypothesis, and stability correction functions in the atmospheric surface layer. J Geophys Res 102(D14):16391–16405
Issa RI (1986) Solution of the implicitly discretised fluid flow equations by operator-splitting. J Comput Phys 62(1):40–65
Jumper GY, Vernin J, Azouit M, Trinquet H (2005) Comparison of recent measurements of atmospheric optical turbulence. In: 36th AIAA plasmadynamics and lasers conference
Kaimal JC, Wyngaard JC, Haugen DA, Coté OR, Izumi Y, Caughey SJ, Readings CJ (1976) Turbulence structure in the convective boundary layer. J Atmos Sci 33(11):2152–2169
Kasagi N, Tomita Y, Kuroda A (1992) Direct numerical simulation of passive scalar field in a turbulent channel flow. J Heat Transf 114:598–606
Klipp CL, Mahrt L (2004) Flux–gradient relationship, self-correlation and intermittency in the stable boundary layer. Q J R Meteorol Soc 130(601):2087–2103
Mahrt L (1989) Intermittency of atmospheric turbulence. J Atmos Sci 46(1):79–95
Mahrt L (1998) Stratified atmospheric boundary layers and breakdown of models. Theor Comput Fluid Dyn 11(3–4):263–279
Mahrt L (1999) Stratified atmospheric boundary layers. Boundary-Layer Meteorol 90(3):375–396
Mahrt L (2014) Stably stratified atmospheric boundary layers. Annu Rev Fluid Mech 46:23–45
Mahrt L, Vickers D (2003) Formulation of turbulent fluxes in the stable boundary layer. J Atmos Sci 60(20):2538–2548
Mason PJ, Derbyshire SH (1990) Large-eddy simulation of the stably-stratified atmospheric boundary layer. Boundary-Layer Meteorol 53(1–2):117–162
Moin P, Mahesh K (1998) Direct numerical simulation: a tool in turbulence research. Annu Rev Fluid Mech 30(1):539–578
Monin AS, Obukhov AM (1954) Basic laws of turbulent mixing in the surface layer of the atmosphere. Tr Akad Nauk SSSR Geophiz Inst 151:163–187
Monin AS, Yaglom AM (1975) Statistical fluid mechanics: mechanics of turbulence, vol 1. The M.I.T Press, Cambridge
Moser RD, Kim J, Mansour NN (1999) Direct numerical simulation of turbulent channel flow up to \(Re_\tau \)= 590. Phys Fluids 11(4):943–945
Muschinski A, Lenschow DH (2001) Meeting summary: future directions for research on meter-and submeter-scale atmospheric turbulence. Bull Am Meteorol Soc 82(12):2831–2843
Muschinski A, Frehlich RG, Balsley BB (2004) Small-scale and large-scale intermittency in the nocturnal boundary layer and the residual layer. J Fluid Mech 515:319–351
Nagaosa R, Saito T (1997) Turbulence structure and scalar transfer in stratified free-surface flows. AIChE J 43(10):2393–2404
Nakamura R, Mahrt L (2005) A study of intermittent turbulence with CASES-99 tower measurements. Boundary-Layer Meteorol 114(2):367–387
Nieuwstadt FT (1984) The turbulent structure of the stable, nocturnal boundary layer. J Atmos Sci 41(14):2202–2216
Ohya Y, Nakamura R, Uchida T (2008) Intermittent bursting of turbulence in a stable boundary layer with low-level jet. Boundary-Layer Meteorol 126(3):349–363
Pahlow M, Parlange MB, Porté-Agel F (2001) On Monin–Obukhov similarity in the stable atmospheric boundary layer. Boundary-Layer Meteorol 99(2):225–248
Peltier LJ, Wyngaard JC (1995) Structure–function parameters in the convective boundary layer from large-eddy simulation. J Atmos Sci 52(21):3641–3660
Richardson H, Basu S, Holtslag AAM (2013) Improving stable boundary-layer height estimation using a stability-dependent critical bulk Richardson number. Boundary-Layer Meteorol 148(1):93–109
Sorbjan Z (1986) On similarity in the atmospheric boundary layer. Boundary-Layer Meteorol 34(4):377–397
Sorbjan Z (1989) Structure of the atmospheric boundary layer. Prentice Hall, New Jersey
Sorbjan Z (2006) Local structure of turbulence in stably stratified boundary layers. J Atmos Sci 63(5):1526–1537
Sorbjan Z (2010) Gradient-based scales and similarity laws in the stable boundary layer. Q J R Meteorol Soc 136(650):1243–1254
Sreenivasan KR (1999) Fluid turbulence. Rev Mod Phys 71(2):S383
Sreenivasan KR, Antonia R (1997) The phenomenology of small-scale turbulence. Annu Rev Fluid Mech 29(1):435–472
Sun J, Burns SP, Lenschow DH, Banta R, Newsom R, Coulter R, Frasier S, Ince T, Nappo C, Cuxart J, Blumen W, Lee X, Hu XZ (2002) Intermittent turbulence associated with a density current passage in the stable boundary layer. Boundary-Layer Meteorol 105(2):199–219
Sun J, Lenschow DH, Burns SP, Banta RM, Newsom RK, Coulter R, Frasier S, Ince T, Nappo C, Balsley BB, Jensen M, Mahrt L, Miller D, Skelly B (2004) Atmospheric disturbances that generate intermittent turbulence in nocturnal boundary layers. Boundary-Layer Meteorol 110(2):255–279
Tatarskii VI (1961) Wave propagation in a turbulent medium. McGraw-Hill, New York
Thiermann V, Grassl H (1992) The measurement of turbulent surface-layer fluxes by use of bichromatic scintillation. Boundary-Layer Meteorology 58(4):367–389
Townsend AA (1980) The structure of turbulent shear flow. Cambridge University Press, Cambridge
Vreman AW, Kuerten JGM (2014) Comparison of direct numerical simulation databases of turbulent channel flow at \({Re}_{\tau } = 180\). Phys Fluids 26:015102
Wilson C, Fedorovich E (2012) Direct evaluation of refractive-index structure functions from large-eddy simulation output for atmospheric convective boundary layers. Acta Geophys 60(5):1474–1492
Wyngaard J, Coté O (1971) The budgets of turbulent kinetic energy and temperature variance in the atmospheric surface layer. J Atmos Sci 28(2):190–201
Wyngaard J, Kosović B (1994) Similarity of structure–function parameters in the stably stratified boundary layer. Boundary-Layer Meteorol 71(3):277–296
Wyngaard JC (1973) On surface layer turbulence. In: Haugen DA (ed) Workshop on micrometeorology. American Meteorological Society, Boston
Wyngaard JC, Clifford SF (1977) Taylor’s hypothesis and high-frequency turbulence spectra. J Atmos Sci 34(6):922–929
Wyngaard JC, Izumi Y, Stuart A, Collins JR (1971) Behavior of the refractive-index-structure parameter near the ground. J Opt Soc Am 61(12):1646–1650
Acknowledgments
The authors acknowledge financial support received from the Department of Defense (AFOSR grant under award number FA9550-12-1-0449) and the National Science Foundation (grant AGS-1122315). Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Defense or the National Science Foundation. The authors also acknowledge computational resources obtained from the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation (grant number ACI-1053575). Finally, the authors thank Adam DeMarco and Patrick Hawbecker for their valuable comments and suggestions to improve the quality of the paper.
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Appendix: Solver verification
Appendix: Solver verification
In this Appendix, we first compare the simulation results produced by the current DNS solver (OF) against the DNS results from Nagaosa and Saito [54] (referred to as NS97 henceforth). A digitizer is used to extract the simulated data from the plots reported by Nagaosa and Saito [54]. Comparisons of mean and root-mean-square (rms) velocity, and turbulent momentum-flux for neutrally and stably stratified cases are presented in Fig. 10. One can see that the results from the current solver (OF) agree well with those from NS97 for all cases. The maximal discrepancy is found for \(u_{rms}\) at \(z/h\approx 0.3\), and the averaged and maximum differences are ~1.5 and ~2.2 %, respectively.
Next, we compare our results with those obtained by a spectral method in order to ascertain that the grid resolution utilized in the present DNS study is sufficient. For this purpose, we use the well-cited DNS results (neutrally stratified case) from Moser et al. [51] (referred to as MKM99 henceforth) as benchmarks. Comparisons of mean and rms velocity, turbulent momentum-flux, and production of turbulence kinetic energy for the neutral case are presented in Fig. 11. One can see that the results produced by the current solver (OF) agree well with those from MKM99 for both \(Re_*=180\) and 395. We do point out that the mean velocity (\(\overline{u}\), see Fig. 11a) is overestimated in the central-channel region (\(z/h\approx 1\)) with the averaged and maximum differences of ~2.2 and ~2.5 %, respectively.
Although there are some differences between the results from the current DNS solver and those from NS97 and MKM99, this level of discrepancy is not unexpected from different DNS solvers (for example, see the code verification in Kasagi et al. [40], Vreman and Kuerten [72] for reference). In a nutshell, the current solver accurately simulates the mean and turbulent components of the flows for neutral and stratified cases. There is no indication that the current grid resolution is insufficient to fully resolve the turbulence phenomena in various stably stratified flows. Without any doubt, these solver verification results builds confidence for the simulations and analyses reported in the rest of the paper.
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He, P., Basu, S. Development of similarity relationships for energy dissipation rate and temperature structure parameter in stably stratified flows: a direct numerical simulation approach. Environ Fluid Mech 16, 373–399 (2016). https://doi.org/10.1007/s10652-015-9427-y
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DOI: https://doi.org/10.1007/s10652-015-9427-y