Skip to main content
Log in

Turbulence behaviors underlying the sensible heat and water vapor flux dissimilarity in a stably stratified flow

  • Original Article
  • Published:
Environmental Fluid Mechanics Aims and scope Submit manuscript

Abstract

Based on eddy-covariance measurements over a glacier, we investigate the scalar flux dissimilarity between sensible heat and water vapor transport in a stably stratified flow. The scalar flux correlation coefficient \({{R}_{F}}\) is used as a measure of variable levels of the flux similarity, which are often elevated due to a rising degree of the kinetic anisotropy of turbulence. Moreover, sensible heat is transported more efficiently than water vapor; and transport efficiencies of these two scalars are separated in terms of their variability with the velocity aspect ratio. Compared with air temperature fluctuations, turbulence characteristics of the water vapor concentration are subject to a more pronounced modification because of distinct magnitudes of \({R}_{F}\). An innovative method is employed for connecting quadrant analysis and cospectral analysis, so that the hyperbolic quadrant-hole size can be coupled to the natural frequency underlying the fast Fourier transform. Then, we introduce a hypothetical octant hole whose size is invoked as a metric for the amplitude scale of fluctuating scalar fluxes. The contributions to \({R}_{F}\) are quantified for a variety of eddy structures that are associated with different ranges of the amplitude scale. Regarding larger-amplitude fluxes due to heated drier air parcels in descending motions, reductions in \(\left|{R}_{F}\right|\) correspond to increasing flux fractions for water vapor, whereas the flux fractions for sensible heat are largely unchanged. Overall, a more substantial portion of the changes in \(\left|{R}_{F}\right|\) can be ascribed to smaller-amplitude fluxes due to cooled moister air parcels and heated drier air parcels being involved, respectively, in ascending and descending motions. Reductions in \(\left|{R}_{F}\right|\) relate to the flux fractions of a decreasing magnitude for sensible heat but of an increasing magnitude for water vapor.

Highlights

  • In a stably stratified flow, dissimilar transport of sensible heat and water vapor is associated with anisotropy properties of turbulence.

  • A new approach is developed for a scrutiny of scalar transport, whereby quadrant analysis and cospectral analysis can be interconnected.

  • Extending octant analysis to scalar turbulence identifies eddy structures that exhibit distinct behaviors indicative of the flux dissimilarity.

  • Comparatively small-amplitude fluxes are accountable for a substantial portion of the changes in the overall level of scalar flux correlation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

Data availability

Supporting data for the primary findings and conclusions of this article are publicly available and appear, in due course, at https://doi.org/10.6084/m9.figshare.20055932; for a photo album of the alpine glacier site, see https://doi.org/10.6084/m9.figshare.7504205; for an erratum to the companion article (Guo et al. [36]), see https://doi.org/10.6084/m9.figshare.20526633.

References

  1. Aksamit NO, Pomeroy JW (2018) The effect of coherent structures in the atmospheric surface layer on blowing-snow transport. Boundary-Layer Meteorol 167:211–233

    Google Scholar 

  2. Anderson PS, Neff WD (2008) Boundary layer physics over snow and ice. Atmos Chem Phys 8:3563–3582

    Google Scholar 

  3. Andreas EL (2002) Parameterizing scalar transfer over snow and ice: a review. J Hydrometeorol 3:417–432

    Google Scholar 

  4. Banerjee S, Krahl R, Durst F, Zenger Ch (2007) Presentation of anisotropy properties of turbulence, invariants versus eigenvalue approaches. J Turb 8:N32. https://doi.org/10.1080/14685240701506896

    Article  Google Scholar 

  5. Berger BW, Davis KJ, Yi C, Bakwin PS, Zhao CL (2001) Long-term carbon dioxide fluxes from a very tall tower in a northern forest: flux measurement methodology. J Atmos Ocean Technol 18:529–542

    Google Scholar 

  6. Bewley GP, Chang K, Bodenschatz E (2012) On integral length scales in anisotropic turbulence. Phys Fluids 24:061702. https://doi.org/10.1063/1.4726077

    Article  Google Scholar 

  7. Bink NJ, Meesters AGCA (1997) Comment on ‘Estimation of surface heat and momentum fluxes using the flux-variance method above uniform and non-uniform terrain’ by Katul et al. (1995). Boundary-Layer Meteorol 84:497–502

  8. Cava D, Katul GG, Sempreviva AM, Giostra U, Scrimieri A (2008) On the anomalous behaviour of scalar flux–variance similarity functions within the canopy sub-layer of a dense alpine forest. Boundary-Layer Meteorol 128:33–57

    Google Scholar 

  9. Cancelli DM, Chamecki M, Dias NL (2014) A large-eddy simulation study of scalar dissimilarity in the convective atmospheric boundary layer. J Atmos Sci 71:3–15

    Google Scholar 

  10. Charrondière C, Brun C, Sicart J-E, Cohard J-M, Biron R, Blein S (2020) Buoyancy effects in the turbulence kinetic energy budget and Reynolds stress budget for a katabatic jet over a steep alpine slope. Boundary-Layer Meteorol 177:97–122

    Google Scholar 

  11. Charrondière C, Brun C, Cohard J-M, Sicart J-E, Obligado M, Biron R, Coulaud C, Guyard H (2022) Katabatic winds over steep slopes: overview of a field experiment designed to investigate slope-normal velocity and near-surface turbulence. Boundary-Layer Meteorol 182:29–54

    Google Scholar 

  12. Cheng Y, Parlange MB, Brutsaert W (2005) Pathology of Monin-Obukhov similarity in the stable boundary layer. J Geophys Res 110:D06101. https://doi.org/10.1029/2004JD004923

    Article  Google Scholar 

  13. Chowdhuri S, Prabha TV, Karipot A, Dharamraj T, Patil MN (2015) Relationship between the momentum and scalar fluxes close to the ground during the Indian post-monsoon period. Boundary-Layer Meteorol 154:333–348

    Google Scholar 

  14. Chowdhuri S, McNaughton KG, Prabha TV (2019) An empirical scaling analysis of heat and momentum cospectra above the surface friction layer in a convective boundary layer. Boundary-Layer Meteorol 170:257–284

    Google Scholar 

  15. Chowdhuri S, Prabha TV (2019) An evaluation of the dissimilarity in heat and momentum transport through quadrant analysis for an unstable atmospheric surface layer flow. Environ Fluid Mech 19:513–542

    Google Scholar 

  16. Chowdhuri S, Todekar K, Prabha TV (2021) The characterization of turbulent heat and moisture transport during a gust-front event over the Indian peninsula. Environ Fluid Mech 21:907–924

    Google Scholar 

  17. De Bruin HAR, Kohsiek W, van den Hurk BJJM (1993) A verification of some methods to determine the fluxes of momentum, sensible heat, and water vapour using standard deviation and structure parameter of scalar meteorological quantities. Boundary-Layer Meteorol 63:231–257

    Google Scholar 

  18. Denby B, Snellen H (2002) A comparison of surface renewal theory with the observed roughness length for temperature on a melting glacier surface. Boundary-Layer Meteorol 103:459–468

    Google Scholar 

  19. Detto M, Katul GG (2007) Simplified expressions for adjusting higher-order turbulent statistics obtained from open path gas analyzers. Boundary-Layer Meteorol 122:205–216

    Google Scholar 

  20. Dias NL, Brutsaert W (1996) Similarity of scalars under stable conditions. Boundary-Layer Meteorol 80:355–373

    Google Scholar 

  21. Ding B, Yang K, Yang W, He X, Chen Y, Lazhu, Guo X, Wang L, Wu H, Yao T (2017) Development of a Water and Enthalpy Budget-based Glacier mass balance Model (WEB-GM) and its preliminary validation. Water Resour Res 53:3146–3178

    Google Scholar 

  22. Dupont S, Patton EG (2012) Momentum and scalar transport within a vegetation canopy following atmospheric stability and seasonal canopy changes: the CHATS experiment. Atmos Chem Phys 12:5913–5935

    Google Scholar 

  23. Dupont S, Patton EG (2012) Influence of stability and seasonal canopy changes on micrometeorology within and above an orchard canopy: the CHATS experiment. Agric For Meteorol 157:11–29

    Google Scholar 

  24. Dupont S, Rajot J-L, Labiadh M, Bergametti G, Lamaud E, Irvine MR, Alfaro SC, Bouet C, Fernandes R, Khalfallah B, Marticorena B, Bonnefond JM, Chevaillier S, Garrigou D, Henry-des-Tureaux T, Sekrafi S, Zapf P (2019) Dissimilarity between dust, heat, and momentum turbulent transports during aeolian soil erosion. J Geophys Res Atmos 124:1064–1089

    Google Scholar 

  25. Everard KA, Oldroyd HJ, Christen A (2020) Turbulent heat and momentum exchange in nocturnal drainage flow through a sloped vineyard. Boundary-Layer Meteorol 175:1–23

    Google Scholar 

  26. Foken T (2008) Micrometeorology. Springer, Heidelberg, p 308

    Google Scholar 

  27. Foken T, Göckede M, Mauder M, Mahrt L, Amiro B, Munger W (2004) Post-field data quality control. In: Lee X, Massman W, Law B (eds) Handbook of micrometeorology: a guide for surface flux measurement and analysis. Kluwer, Dordrecht, pp 181–208

    Google Scholar 

  28. Foken T, Aubinet M, Finnigan JJ, Leclerc MY, Mauder M, Paw UKT (2011) Results of a panel discussion about the energy balance closure correction for trace gases. Bull Amer Meteorol Soc 92:ES13–ES18

    Google Scholar 

  29. Foken T, Wichura B (1996) Tools for quality assessment of surface-based flux measurements. Agric For Meteorol 78:83–105

    Google Scholar 

  30. Gao Z, Liu H, Li D, Katul GG, Blanken PD (2018) Enhanced temperature-humidity similarity caused by entrainment processes with increased wind shear. J Geophys Res Atmos 123:4110–4121

    Google Scholar 

  31. Grachev AA, Leo LS, Di Sabatino S, Fernando HJS, Pardyjak ER, Fairall CW (2016) Structure of turbulence in katabatic flows below and above the wind-speed maximum. Boundary-Layer Meteorol 159:469–494

    Google Scholar 

  32. Guo X, Zhang H, Cai X, Kang L, Zhu T, Leclerc MY (2009) Flux-variance method for latent heat and carbon dioxide fluxes in unstable conditions. Boundary-Layer Meteorol 131:363–384

    Google Scholar 

  33. Guo X, Yang K, Zhao L, Yang W, Li S, Zhu M, Yao T, Chen Y (2011) Critical evaluation of scalar roughness length parametrizations over a melting valley glacier. Boundary-Layer Meteorol 139:307–332

    Google Scholar 

  34. Guo X, Sun Y, Miao S (2016) Characterizing urban turbulence under haze pollution: insights into temperature–humidity dissimilarity. Boundary-Layer Meteorol 158:501–510

    Google Scholar 

  35. Guo X, Yang K, Yang W, Zhao L, Li S, Ding B (2020) Representing the heat-to-moisture transport efficiency in stable conditions: an extension of two different approaches. Asia-Pac J Atmos Sci 56:603–611

    Google Scholar 

  36. Guo X, Yang W, Gao Z, Wang L, Hong J, Ding B, Zhao L, Zhou D, Yang K (2022) Katabatic flow structures indicative of the flux dissimilarity for stable stratification. Boundary-Layer Meteorol 182:379–415

    Google Scholar 

  37. Heinemann G (2004) Local similarity properties of the continuously turbulent stable boundary layer over Greenland. Boundary-Layer Meteorol 112:283–305

    Google Scholar 

  38. Heinemann G (2008) The polar regions: a natural laboratory for boundary layer meteorology – a review. Meteorol Z 17:589–601

    Google Scholar 

  39. Hill RJ (1989) Implications of Monin-Obukhov similarity theory for scalar quantities. J Atmos Sci 46:2236–2244

    Google Scholar 

  40. Hock R (2005) Glacier melt: a review of processes and their modelling. Prog Phys Geogr 29:362–391

    Google Scholar 

  41. Huang J, Katul G, Albertson J (2013) The role of coherent turbulent structures in explaining scalar dissimilarity within the canopy sublayer. Environ Fluid Mech 13:571–599

    Google Scholar 

  42. Kaimal JC, Wyngaard JC, Izumi Y, Coté OR (1972) Spectral characteristics of surface-layer turbulence. Q J R Meteorol Soc 98:563–589

    Google Scholar 

  43. Kaimal JC, Finnigan JJ (1994) Atmospheric boundary layer flows: their structure and measurement. Cambridge University Press, Cambridge

    Google Scholar 

  44. Katsouvas GD, Helmis CG, Wang Q (2007) Quadrant analysis of the scalar and momentum fluxes in the stable marine atmospheric surface layer. Boundary-Layer Meteorol 124:335–360

    Google Scholar 

  45. Katul G, Hsieh C-I (1997) Reply to the comment by Bink and Meesters. Boundary-Layer Meteorol 84:503–509

    Google Scholar 

  46. Katul G, Hsieh C-I, Kuhn G, Ellsworth D, Nie D (1997) Turbulent eddy motion at the forest-atmosphere interface. J Geophys Res Atmos 102:13409–13421

    Google Scholar 

  47. Katul G, Kuhn G, Schieldge J, Hsieh C-I (1997) The ejection-sweep character of scalar fluxes in the unstable surface layer. Boundary-Layer Meteorol 83:1–26

    Google Scholar 

  48. Katul GG, Sempreviva AM, Cava D (2008) The temperature–humidity covariance in the marine surface layer: a one-dimensional analytical model. Boundary-Layer Meteorol 126:263–278

    Google Scholar 

  49. Katul GG, Li D, Liu H, Assouline S (2016) Deviations from unity of the ratio of the turbulent Schmidt to Prandtl numbers in stratified atmospheric flows over water surfaces. Phys Rev Fluids 1:034401. https://doi.org/10.1103/physrevfluids.1.034401

    Article  Google Scholar 

  50. Keylock CJ, Lane SN, Richards KS (2014) Quadrant/octant sequencing and the role of coherent structures in bed load sediment entrainment. J Geophys Res Earth Surf 119:264–286

    Google Scholar 

  51. Lan C, Wang B, Zheng D, Wang Y, Zhang Z, Fang R (2022) Decreased dissimilarity of turbulent transport attributed to large eddies. Q J R Meteorol Soc 148:1262–1279

    Google Scholar 

  52. Li N, Balaras E, Wallace JM (2010) Passive scalar transport in a turbulent mixing layer. Flow Turbulence Combust 85:1–24

    Google Scholar 

  53. Li X, Bo T (2019) An application of quadrant and octant analysis to the atmospheric surface layer. J Wind Eng Ind Aerodyn 189:1–10

    Google Scholar 

  54. Li D (2019) Turbulent Prandtl number in the atmospheric boundary layer - Where are we now? Atmos Res 216:96–105

    Google Scholar 

  55. Li D, Bou-Zeid E (2011) Coherent structures and the dissimilarity of turbulent transport of momentum and scalars in the unstable atmospheric surface layer. Boundary-Layer Meteorol 140:243–262

    Google Scholar 

  56. Li D, Bou-Zeid E, De Bruin HAR (2012) Monin-Obukhov similarity functions for the structure parameters of temperature and humidity. Boundary-Layer Meteorol 145:45–67

    Google Scholar 

  57. Li D, Katul GG, Bou-Zeid E (2012) Mean velocity and temperature profiles in a sheared diabatic turbulent boundary layer. Phys Fluids 24:105105. https://doi.org/10.1063/1.4757660

    Article  Google Scholar 

  58. Li D, Katul GG, Bou-Zeid E (2015) Turbulent energy spectra and cospectra of momentum and heat fluxes in the stable atmospheric surface layer. Boundary-Layer Meteorol 157:1–21

    Google Scholar 

  59. Li D, Katul GG, Gentine P (2015) The k-1 scaling of air temperature spectra in atmospheric surface layer flows. Q J R Meteorol Soc 142:496–505

    Google Scholar 

  60. Li D, Katul GG, Zilitinkevich SS (2015) Revisiting the turbulent Prandtl number in an idealized atmospheric surface layer. J Atmos Sci 72:2394–2410

    Google Scholar 

  61. Li D, Katul GG, Liu H (2018) Intrinsic constraints on asymmetric turbulent transport of scalars within the constant flux layer of the lower atmosphere. Geophys Res Lett 45:2022–2030

    Google Scholar 

  62. Litt M, Sicart J-E, Helgason W (2015) A study of turbulent fluxes and their measurement errors for different wind regimes over the tropical Zongo Glacier (16° S) during the dry season. Atmos Meas Tech 8:3229–3250

    Google Scholar 

  63. Liu C, Liu H, Huang J, Xiao H (2021) Varying partitioning of surface turbulent fluxes regulates temperature-humidity dissimilarity in the convective atmospheric boundary layer. Geophys Res Lett 48:e2021GL095836. https://doi.org/10.1029/2021gl095836

    Article  Google Scholar 

  64. Lu SS, Willmarth WW (1973) Measurements of the structure of the Reynolds stress in a turbulent boundary layer. J Fluid Mech 60:481–511

    Google Scholar 

  65. Lumley JL (1979) Computational modeling of turbulent flows. Adv Appl Mech 18:123–176

    Google Scholar 

  66. Mahrt L, Gibson W (1992) Flux decomposition into coherent structures. Boundary-Layer Meteorol 60:143–168

    Google Scholar 

  67. Mahrt L, Bou-Zeid E (2020) Non-stationary boundary layers. Boundary-Layer Meteorol 177:189–204

    Google Scholar 

  68. Marusic I, McKeon BJ, Monkewitz PA, Nagib HM, Smits AJ, Sreenivasan KR (2010) Wall-bounded turbulent flows at high Reynolds numbers: recent advances and key issues. Phys Fluids 22:065103. https://doi.org/10.1063/1.3453711

    Article  Google Scholar 

  69. McMillen RT (1988) An eddy correlation technique with extended applicability to non-simple terrain. Boundary-Layer Meteorol 43:231–245

    Google Scholar 

  70. McNaughton KG, Laubach J (2000) Power spectra and cospectra for wind and scalars in a disturbed surface layer at the base of an advective inversion. Boundary-Layer Meteorol 96:143–185

    Google Scholar 

  71. Meesters AGCA, Bink NJ, Henneken EAC, Vugts HF, Cannemeijer F, Henneken EAC (1997) Katabatic wind profiles over the Greenland ice sheet: observation and modelling. Boundary-Layer Meteorol 85:475–496

    Google Scholar 

  72. Moriwaki R, Kanda M (2006) Local and global similarity in turbulent transfer of heat, water vapour, and CO2 in the dynamic convective sublayer over a suburban area. Boundary-Layer Meteorol 120:163–179

    Google Scholar 

  73. Moore CJ (1986) Frequency response corrections for eddy correlation systems. Boundary-Layer Meteorol 37:17–35

    Google Scholar 

  74. Nadeau DF, Pardyjak ER, Higgins CW, Parlange MB (2013) Similarity scaling over a steep alpine slope. Boundary-Layer Meteorol 147:401–419

    Google Scholar 

  75. Oerlemans J (1998) The atmospheric boundary layer over melting glaciers. In: Holtslag AAM, Duynkerke PG (eds) Clear and cloudy boundary layers. Royal Netherlands Academy of Arts and Sciences, Amsterdam, pp 129–153

    Google Scholar 

  76. Oerlemans J, Björnsson H, Kuhn M, Obleitner F, Palsson F, Smeets CJPP, Vugts HF, De Wolde J (1999) Glacio-meteorological investigations on Vatnajökull, Iceland, summer 1996: an overview. Boundary-Layer Meteorol 92:3–26

    Google Scholar 

  77. Oerlemans J, Grisogono B (2002) Glacier winds and parameterisation of the related surface heat fluxes. Tellus A 54:440–452

    Google Scholar 

  78. Parish TR, Cassano JJ (2003) The role of katabatic winds on the Antarctic surface wind regime. Mon Weather Rev 131:317–333

    Google Scholar 

  79. Parmhed O, Oerlemans J, Grisogono B (2004) Describing surface fluxes in katabatic flow on Breidamerkurjökull, Iceland. Q J Roy Meteorol Soc 130:1137–1151

    Google Scholar 

  80. Raupach MR (1981) Conditional statistics of Reynolds stress in rough-wall and smooth-wall turbulent boundary layers. J Fluid Mech 108:363–382

    Google Scholar 

  81. Robinson SK (1991) Coherent motions in the turbulent boundary layer. Annu Rev Fluid Mech 23:601–639

    Google Scholar 

  82. Roth M, Oke TR (1995) Relative efficiencies of turbulent transfer of heat, mass, and momentum over a patchy urban surface. J Atmos Sci 52:1863–1874

    Google Scholar 

  83. Ruppert J, Thomas C, Foken T (2006) Scalar similarity for relaxed eddy accumulation methods. Boundary-Layer Meteorol 120:39–63

    Google Scholar 

  84. Salesky ST, Katul GG, Chamecki M (2013) Buoyancy effects on the integral lengthscales and mean velocity profile in atmospheric surface layer flows. Phys Fluids 25:105101. https://doi.org/10.1063/1.4823747

    Article  Google Scholar 

  85. Scanlon TM, Kustas WP (2010) Partitioning carbon dioxide and water vapor fluxes using correlation analysis. Agric For Meteorol 150:89–99

    Google Scholar 

  86. Scanlon TM, Sahu P (2008) On the correlation structure of water vapor and carbon dioxide in the atmospheric surface layer: a basis for flux partitioning. Water Resour Res 44:W10418. https://doi.org/10.1029/2008WR006932

    Article  Google Scholar 

  87. Schaefer M, Fonseca-Gallardo D, Farías-Barahona D, Casassa G (2020) Surface energy fluxes on Chilean glaciers: measurements and models. Cryosphere 14:2545–2565

    Google Scholar 

  88. Schotanus P, Nieuwstadt FTM, De Bruin HAR (1983) Temperature measurement with a sonic anemometer and its application to heat and moisture fluctuations. Boundary-Layer Meteorol 26:81–93

    Google Scholar 

  89. Schmutz M, Vogt R (2019) Flux similarity and turbulent transport of momentum, heat and carbon dioxide in the urban boundary layer. Boundary-Layer Meteorol 172:45–65

    Google Scholar 

  90. Serafin S, Adler B, Cuxart J, De Wekker SFJ, Gohm A, Grisogono B, Kalthoff N, Kirshbaum DJ, Rotach MW, Schmidli J, Stiperski I, Večenaj Ž, Zardi D (2018) Exchange processes in the atmospheric boundary layer over mountainous terrain. Atmos 9:102. https://doi.org/10.3390/atmos9030102

    Article  Google Scholar 

  91. Sfyri E, Rotach MW, Stiperski I, Bosveld FC, Lehner M, Obleitner F (2018) Scalar-flux similarity in the layer near the surface over mountainous terrain. Boundary-Layer Meteorol 169:11–46

    Google Scholar 

  92. Shi Y, Xia Z, Chen S (2016) A new identification method in sampled quadrant analysis for wall-bounded turbulence. Phys Fluids 28:061702. https://doi.org/10.1063/1.4954057

    Article  Google Scholar 

  93. Smedman A-S, Bergström H, Högström U (1995) Spectra, variances and length scales in a marine stable boundary layer dominated by a low level jet. Boundary-Layer Meteorol 76:211–232

    Google Scholar 

  94. Smeets CJPP, Duynkerke PG, Vugts HF (1998) Turbulence characteristics of the stable boundary layer over a mid-latitude glacier. Part I: a combination of katabatic and large-scale forcing. Boundary-Layer Meteorol 87:117–145

    Google Scholar 

  95. Smeets CJPP, Duynkerke PG, Vugts HF (2000) Turbulence characteristics of the stable boundary layer over a mid-latitude glacier. Part II: pure katabatic forcing conditions. Boundary-Layer Meteorol 97:73–107

    Google Scholar 

  96. Smeets CJPP, van den Broeke MR (2008) The parameterisation of scalar transfer over rough ice. Boundary-Layer Meteorol 128:339–355

    Google Scholar 

  97. Solanki R, Singh N, Kiran Kumar NVP, Rajeev K, Imasu R, Dhaka SK (2019) Impact of mountainous topography on surface-layer parameters during weak mean-flow conditions. Boundary-Layer Meteorol 172:133–148

    Google Scholar 

  98. Stiperski I, Calaf M (2018) Dependence of near-surface similarity scaling on the anisotropy of atmospheric turbulence. Q J R Meteorol Soc 144:641–657

    Google Scholar 

  99. Stiperski I, Calaf M, Rotach MW (2019) Scaling, anisotropy, and complexity in near-surface atmospheric turbulence. J Geophys Res Atmos 124:1428–1448

    Google Scholar 

  100. Stiperski I, Chamecki M, Calaf M (2021) Anisotropy of unstably stratified near-surface turbulence. Boundary-Layer Meteorol 180:363–384

    Google Scholar 

  101. Stiperski I, Katul GG, Calaf M (2021) Universal return to isotropy of inhomogeneous atmospheric boundary layer turbulence. Phys Rev Lett 126:194501. https://doi.org/10.1103/physrevlett.126.194501

    Article  Google Scholar 

  102. Stiperski I, Rotach MW (2016) On the measurement of turbulence over complex mountainous terrain. Boundary-Layer Meteorol 159:97–121

    Google Scholar 

  103. Stull R (1988) An introduction to boundary layer meteorology. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  104. Suzuki H, Suzuki K, Sato T (1988) Dissimilarity between heat and momentum transfer in a turbulent boundary layer disturbed by a cylinder. Int J Heat Mass Transf 31:259–265

    Google Scholar 

  105. van den Broeke MR (1997) Momentum, heat, and moisture budgets of the katabatic wind layer over a midlatitude glacier in summer. J Appl Meteorol 36:763–774

    Google Scholar 

  106. van den Broeke MR, Duynkerke PG, Henneken EAC (1994) Heat, momentum and moisture budgets of the katabatic layer over the melting zone of the west Greenland ice sheet in summer. Boundary-Layer Meteorol 71:393–413

    Google Scholar 

  107. van der Avoird E, Duynkerke PG (1999) Turbulence in a katabatic flow: does it resemble turbulence in stable boundary layers over flat surfaces? Boundary-Layer Meteorol 92:39–66

    Google Scholar 

  108. Vercauteren N, Boyko V, Faranda D, Stiperski I (2019) Scale interactions and anisotropy in stable boundary layers. Q J Roy Meteorol Soc 145:1799–1813

    Google Scholar 

  109. Volino RJ, Simon TW (1994) An application of octant analysis to turbulent and transitional flow data. J Turbomach-Trans ASME 116:752–758

    Google Scholar 

  110. Wallace JM, Eckelmann H, Brodkey RS (1972) The wall region in turbulent shear flow. J Fluid Mech 54:39–48

    Google Scholar 

  111. Wallace JM (2016) Quadrant analysis in turbulence research: history and evolution. Annu Rev Fluid Mech 48:131–158

    Google Scholar 

  112. Wang L, Li D, Gao Z, Sun T, Guo X, Bou-Zeid E (2014) Turbulent transport of momentum and scalars above an urban canopy. Boundary-Layer Meteorol 150:485–511

    Google Scholar 

  113. Wyngaard JC (1990) Scalar fluxes in the planetary boundary layer — theory, modeling, and measurement. Boundary-Layer Meteorol 50:49–75

    Google Scholar 

  114. Wyngaard JC (2010) Turbulence in the atmosphere. Cambridge University Press, Cambridge, p 406

    Google Scholar 

Download references

Acknowledgements

Given the sheer length of this article, the authors are deeply grateful to the two anonymous reviewers for their time and effort expended on providing invaluable feedback. X.G. and W.Y. are indebted to Drs. Kun Yang (Tsinghua University) and Long Zhao (Southwest University) for conscientious involvement in the harsh-height glacio-meteorological experiment at Palong–Zangbu No. 4 glacier, supported logistically by the South-East Tibetan Plateau Station for Integrated Observation and Research of Alpine Environment [Chinese Academy of Sciences (CAS)]. Dr. Baohong Ding (Institute of Tibetan Plateau Research, CAS) provided X.G. with necessary auxiliary data, i.e., snow depths that were simulated originally from [21]. Drs. Fei Hu (Institute of Atmospheric Physics, CAS) and Kun Yang provided X.G. with indispensable assistance in successfully securing the NSFC financial support to the authors’ continued research collaboration. W.Y. was previously co-affiliated with the CAS Center for Excellence in Tibetan Plateau Earth Sciences.

Funding

The National Natural Science Foundation of China (NSFC) [Grant 42150205 (X.G. and D.Z.)]; the Second Tibetan Plateau Scientific Expedition and Research Program [Grant 2019QZKK0102 (X.G., L.W. and Z.G.), Grant 2019QZKK0103 (D.Z.), and Grant 2019QZKK0201 (W.Y.)]; the Research and Development Program of the Korea Meteorological Administration [Grant KMI2021-01611 (J.H.)]; the National Research Foundation of Korea that is sponsored by the South Korean government (MSIT) [Grant NRF-2018R1A5A1024958 (J.H.)].

Author information

Authors and Affiliations

Authors

Contributions

Xiaofeng Guo: Conceptualization; Investigation (supporting); Methodology; Writing – original draft. Wei Yang: Investigation (lead). Jinkyu Hong, Linlin Wang, and Zhiqiu Gao: Writing – review and editing (supporting). Degang Zhou: Writing – review and editing (lead).

Corresponding author

Correspondence to Xiaofeng Guo.

Ethics declarations

Conflict of interest

The authors are unaware of any conflicts of interest needing to be declared.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guo, X., Yang, W., Hong, J. et al. Turbulence behaviors underlying the sensible heat and water vapor flux dissimilarity in a stably stratified flow. Environ Fluid Mech 23, 1193–1232 (2023). https://doi.org/10.1007/s10652-023-09940-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10652-023-09940-2

Keywords

Navigation