• Andrews, A. E., and Coauthors, 2014: CO2, CO, and CH4 measurements from the NOAA Earth System Research Laboratory’s tall tower greenhouse gas observing network: Instrumentation, uncertainty analysis, and recommendations for future high-accuracy greenhouse gas monitoring efforts. Atmos. Meas. Tech., 7, 647687, https://doi.org/10.5194/amt-7-647-2014.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Balsley, B. B., R. G. Frehlich, M. L. Jensen, Y. Mellier, and A. Muschinski 2003: Extreme gradients in the nocturnal boundary layer: Structure, evolution, and potential causes. J. Atmos. Sci., 60, 24962508, https://doi.org/10.1175/1520-0469(2003)060<2496:EGITNB>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Banta, R. M., R. K. Newsom, J. K. Lundquist, Y. L. Pichugina, R. L. Coulter and L. Mahrt, 2002: Nocturnal low-level jet characteristics over Kansas during CASES-99. Bound.-Layer Meteor., 105, 221252, https://doi.org/10.1023/A:1019992330866.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Banta, R. M., Y. L. Pichugina, and R. K. Newsom, 2003: Relationship between low-level jet properties and turbulence kinetic energy in the nocturnal stable boundary layer. J. Atmos. Sci., 60, 25492555, https://doi.org/10.1175/1520-0469(2003)060<2549:RBLJPA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Banta, R. M., L. Mahrt, D. Vickers, J. Sun, B. B. Balsley, Y. L. Pichugina, and E. J. Williams, 2007: The very stable boundary layer on nights with weak low-level jets. J. Atmos. Sci., 64, 30683090, https://doi.org/10.1175/JAS4002.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Basu, S., F. Porte-Agel, E. Foufoula-Georgiou, J.-F. Vinuesa, and M. Pahlow, 2006: Revisiting the local scaling hypothesis in stably stratified atmospheric boundary-layer turbulence: An integration of field and laboratory measurements with large-eddy simulations. Bound.-Layer Meteor., 119, 473500, https://doi.org/10.1007/s10546-005-9036-2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Berg, L. K., L. D. Riihimaki, Y. Qian, H. Yan, and M. Huang, 2015: The low-level jet over the Southern Great Plains determined from observations and reanalyses and its impact on moisture transport. J. Climate, 28, 66826706, https://doi.org/10.1175/JCLI-D-14-00719.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Blumen, W., R. L. Grossman, and M. Piper, 1999: Analysis of heat budget, dissipation and frontogenesis in a shallow density current. Bound.-Layer Meteor., 91, 281306, https://doi.org/10.1023/A:1001813700928.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brost, R. A., and J. C. Wyngaard, 1978: A model study of the stably stratified planetary boundary layer. J. Atmos. Sci., 35, 14271440, https://doi.org/10.1175/1520-0469(1978)035<1427:AMSOTS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Buckley, R. L., and R. J. Kurzeja, 1997: An observational and numerical study of the nocturnal sea breeze. Part I: Structure and circulation. J. Appl. Meteor., 36, 15771598, https://doi.org/10.1175/1520-0450(1997)036<1577:AOANSO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Burman, P. K. D., T. V. Prabha, R. Morrison, and A. Karipot 2018: A case study of turbulence in the nocturnal boundary layer during the Indian summer monsoon. Bound.-Layer Meteor., 169, 115138, https://doi.org/10.1007/s10546-018-0364-4.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cheng, Y., and V. M. Canuto, 1994: Stably stratified shear turbulence: A new model for the energy dissipation length scale. J. Atmos. Sci., 51, 23842396, https://doi.org/10.1175/1520-0469(1994)051<2384:SSSTAN>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Chimonas, G., 1999: Steps, waves and turbulence in the stably stratified planetary boundary layer. Bound.-Layer Meteor., 90, 397421, https://doi.org/10.1023/A:1001709029773.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chiswell, S. R., and M. J. Parker, 2011: Using ceilometer backscatter from aerosol to analyze boundary layer structure. 15th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface, Seattle, WA, Amer. Meteor. Soc., 7.5.

    • Crossref
    • Export Citation
  • Duarte, H. F., M. Y. Leclerc, G. Zhang, D. Durden, R. Kurzeja, M. Parker, and D. Werth, 2015: Impact of nocturnal low-level jets on near-surface turbulence kinetic energy. Bound.-Layer Meteor., 156, 349370, https://doi.org/10.1007/s10546-015-0030-z.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Einaudi, F., and J. J. Finnigan, 1993: Wave-turbulence dynamics in the stably stratified boundary layer. J. Atmos. Sci., 50, 18411864, https://doi.org/10.1175/1520-0469(1993)050<1841:WTDITS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Finnigan, J. J., F. Einaudi, and D. Fua, 1984: The interaction between an internal gravity wave and turbulence in the stably-stratified nocturnal boundary layer. J. Atmos. Sci., 41, 24092436, https://doi.org/10.1175/1520-0469(1984)041<2409:TIBAIG>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gossard, E. E., J. F. Gaynor, R. J. Azmor, and W. D. Neff, 1985: Fine structure of elevated stable layers observed by sounder and in situ tower sensors. J. Atmos. Sci., 42, 21562169, https://doi.org/10.1175/1520-0469(1985)042<2156:FOESLO>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Grisogono, B., 2010: Generalizing ‘z-less’ mixing length for stable boundary layers. Quart. J. Roy. Meteor. Soc., 136, 213221, https://doi.org/10.1002/qj.529.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hicks, B. B., 2022: On kinematic isolation in stable stratification: The CASES-99 tower observations. Bound.-Layer Meteor., 183, 6777, https://doi.org/10.1007/s10546-021-00677-3.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Högström, U., 1990: Analysis of turbulence structure in the surface layer with a modified similarity formulation for near neutral conditions. J. Atmos. Sci., 47, 19491972, https://doi.org/10.1175/1520-0469(1990)047<1949:AOTSIT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hunt, J. C. R., 1985: Diffusion in the stably stratified atmospheric boundary layer. J. Climate Appl. Meteor., 24, 11871195, https://doi.org/10.1175/1520-0450(1985)024<1187:DITSSA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kaimal, J. C., and J. J. Finnigan, 1994: Atmospheric Boundary Layer Flows. Oxford University Press, 289 pp.

    • Crossref
    • Export Citation
  • Kurzeja, R. J., S. Berman, and A. H. Weber, 1991: A climatological study of the nocturnal planetary boundary layer. Bound.-Layer Meteor., 54, 105128, https://doi.org/10.1007/BF00119415.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kurzeja, R. J., M. Y. Leclerc, and M. J. Parker, 2012: Flux of water vapor and carbon dioxide from a tall tower in a complex landscape. 30th Conf. on Agricultural and Forest Meteorology/First Conf. on Atmospheric Biogeosciences, Boston, MA, Amer. Meteor. Soc., J6.5, https://ams.confex.com/ams/19Ag19BLT9Urban/webprogram/Paper173015.html.

    • Crossref
    • Export Citation
  • Lee, X., W. Massman, and B. Law, 2004: Handbook of Micrometeorology. Atmospheric and Oceanographic Sciences Library, Vol. 29, Springer, 250 pp.

    • Crossref
    • Export Citation
  • Mahrt, L., 2000: Surface heterogeneity and vertical structure of the boundary layer. Bound.-Layer Meteor., 96, 3362, https://doi.org/10.1023/A:1002482332477.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mahrt, L., 2014: Stably stratified atmospheric boundary layers. Annu. Rev. Fluid Mech., 46, 2345, https://doi.org/10.1146/annurev-fluid-010313-141354.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mahrt, L., 2018: Microfronts in the nocturnal boundary layer. Quart. J. Roy. Meteor. Soc., 145, 546562, https://doi.org/10.1002/qj.3451.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mahrt, L., and D. Vickers, 2002: Contrasting vertical structures of nocturnal boundary layers. Bound.-Layer Meteor., 105, 351363, https://doi.org/10.1023/A:1019964720989.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mortarini, L., D. Cava, U. Giostra, O. Acevedo, L. G. Nogueira Martins, P. E. Soares de Oliveira, and D. Anfossia, 2018: Observations of submeso motions and intermittent turbulent mixing across a low level jet with a 132-m tower. Quart. J. Roy. Meteor. Soc., 144, 172183, https://doi.org/10.1002/qj.3192.

    • Search Google Scholar
    • Export Citation
  • Newsom, R. K., and R. M. Banta, 2003: Shear-flow instability in the stable nocturnal boundary layer as observed by Doppler lidar during CASES-99. J. Atmos. Sci., 60, 1633, https://doi.org/10.1175/1520-0469(2003)060<0016:SFIITS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Nieuwstadt, F. T. M., 1984: The turbulent structure of the stable nocturnal boundary layer. J. Atmos. Sci., 41, 22022216, https://doi.org/10.1175/1520-0469(1984)041<2202:TTSOTS>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Prentice, I. C., and Coauthors, 2001: The carbon cycle and atmospheric carbon dioxide. Climate Change 2001: The Scientific Basis, J. T. Houghton et al., Eds., Cambridge University Press, 183–237, https://www.ipcc.ch/site/assets/uploads/2018/02/TAR-03.pdf.

    • Crossref
    • Export Citation
  • Reiter, E., 1969: Tropopause circulation and jet streams. Climate of the Free Atmosphere, D. F. Rex, Ed., World Survey of Climatology, Vol. 4, Elsevier, 85–193.

    • Crossref
    • Export Citation
  • Siebert, P., F. Beyrich, S.-E. Gryning, S. Joffre, A. Rasmussen, and P. Tercier, 2000: Review and intercomparison of operational methods for the determination of the mixing height. Atmos. Environ., 34, 10011027, https://doi.org/10.1016/S1352-2310(99)00349-0.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sorbjan, Z., 1989: Structure of Atmospheric Boundary Layer. Prentice-Hall, 317 pp.

    • Crossref
    • Export Citation
  • Sorbjan, Z., 2010: Gradient-based scales and similarity laws in the stable boundary layer. Quart. J. Roy. Meteor. Soc., 136, 12431254, https://doi.org/10.1002/qj.638.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Sorbjan, Z., 2014: Modelling the evolving stable boundary layer. Bound.-Layer Meteor., 151, 407428, https://doi.org/10.1007/s10546-013-9893-z.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Straume, A. G., 2001: A more extensive investigation of the use of ensemble forecasts for dispersion model evaluation. J. Appl. Meteor., 40, 425445, https://doi.org/10.1175/1520-0450(2001)040<0425:AMEIOT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Atmospheric and Oceanographic Sciences Library, Vol. 13, Springer, 666 pp.

    • Crossref
    • Export Citation
  • Sykes, R. I., C. P. Cerasoli, and D. S. Henn, 1999: The representation of dynamic flow effects in a Lagrangian puff dispersion model. J. Hazard. Mater., 64, 223247, https://doi.org/10.1016/S0304-3894(98)00271-4.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Torrence, C., and G. P. Compo, 1998: A practical guide to wavelet analysis. Bull. Amer. Meteor. Soc., 79, 6178, https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Vickers, D., and L. Mahrt, 2004: Evaluating formulations of stable boundary layer height. J. Appl. Meteor., 43, 17361749, https://doi.org/10.1175/JAM2160.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Vickers, D., and L. Mahrt, 2006: A solution for flux contamination by mesoscale motions with very weak turbulence. Bound.-Layer Meteor., 118, 431447, https://doi.org/10.1007/s10546-005-9003-y.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Whiteman, C., X. Bian, and S. Zhong, 1997: Low-level jet climatology from enhanced rawinsonde observations at a site in the Southern Great Plains. J. Appl. Meteor., 36, 13631376, https://doi.org/10.1175/1520-0450(1997)036<1363:LLJCFE>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Wyngaard, J., 1988: Structure of the PBL. Lectures on Air Pollution Modeling, A. Venkatram and J. C. Wyngaard, Eds., Amer. Meteor. Soc., 9–61.

  • Wyngaard, J., 2010: Turbulence in the Atmosphere. Cambridge University Press, 393 pp.

  • Zilitinkevich, S. S., T. Elperin, N. Kleeorin, I. Rogachevskii, and I. Esau, 2013: A hierarchy of energy- and flux-budget (EFB) turbulence closure models for stably-stratified geophysical flows. Bound.-Layer Meteor., 146, 341373, https://doi.org/10.1007/s10546-012-9768-8.

    • Search Google Scholar
    • Export Citation
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Turbulence and Diffusion on Weakly Stable and Stable Nights near a 300 m Tower in a Complex Landscape

Robert J. KurzejaaSavannah River National Laboratory, Aiken, South Carolina

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Monique Y. LeclercbCollege of Agricultural and Environmental Sciences University of Georgia, Griffin, Georgia

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Henrique F. DuartebCollege of Agricultural and Environmental Sciences University of Georgia, Griffin, Georgia

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Gengsheng ZhangbCollege of Agricultural and Environmental Sciences University of Georgia, Griffin, Georgia

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Matthew J. ParkeraSavannah River National Laboratory, Aiken, South Carolina

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David W. WerthaSavannah River National Laboratory, Aiken, South Carolina

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Steven R. ChiswellaSavannah River National Laboratory, Aiken, South Carolina

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Robert L. BuckleyaSavannah River National Laboratory, Aiken, South Carolina

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Abstract

Turbulence and winds below 328 m were measured on 5 successive nights in a program to study tracer transport in the nocturnal boundary layer at a site with moderately complex terrain and mixed land use. The instruments included sonic anemometers and CO2/H2O analyzers at four levels on a 328 m tall tower, a minisodar/RASS system, a midrange sodar, a ceilometer, and an array of 61 m towers. Preliminary simulations indicated satisfactory perfluorocarbon mixing to 68 m but insufficient transport to the 328 m level on both weakly stable and stable nights, possibly due to insufficient turbulence kinetic energy and/or small vertical mixing lengths, or the presence of meso-β fronts, e.g., sea-breeze fronts, that could transport trace chemicals efficiently to 328 m. To examine the problem further, time–height distributions of turbulence kinetic energy (TKE), mixing length, Richardson number, potential temperature, and winds were derived from the observations of mean winds and temperature and the TKE budget equation, interpolated to fit the observations, under the flux/gradient and z-less scaling assumptions, and displayed with aerosol profiles. The results indicated higher and more variable levels of TKE and mixing lengths above a typical turbulence maximum at 30–50 m. Oscillations with periods of ∼2 h were common and occasional meso-β fronts and shear zones between 75 and 150 m were seen, which increased TKE aloft and in some cases led to a poorly defined boundary layer top.

Significance Statement

The atmosphere’s boundary layer is the interface between the free atmosphere and natural and human activity near Earth’s surface. The daytime boundary layer has been studied extensively and, because of vigorous sun-driven mixing, is well understood and readily parameterized in forecast and global climate models. In contrast, the nocturnal boundary layer is less well understood or predictable because turbulence is weak and tends to decouple it from the surface and the free atmosphere above. This paper focuses on the least-studied upper part of the nocturnal boundary layer over the southeastern United States where topography and land–sea contrast affect winds, turbulence, and chemical transport.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Duarte’s current affiliation: National Institute for Space Research, São José dos Campos, Brazil.

Parker: Deceased.

Corresponding author: Robert J. Kurzeja, robert.kurzeja@srnl.doe.gov

Abstract

Turbulence and winds below 328 m were measured on 5 successive nights in a program to study tracer transport in the nocturnal boundary layer at a site with moderately complex terrain and mixed land use. The instruments included sonic anemometers and CO2/H2O analyzers at four levels on a 328 m tall tower, a minisodar/RASS system, a midrange sodar, a ceilometer, and an array of 61 m towers. Preliminary simulations indicated satisfactory perfluorocarbon mixing to 68 m but insufficient transport to the 328 m level on both weakly stable and stable nights, possibly due to insufficient turbulence kinetic energy and/or small vertical mixing lengths, or the presence of meso-β fronts, e.g., sea-breeze fronts, that could transport trace chemicals efficiently to 328 m. To examine the problem further, time–height distributions of turbulence kinetic energy (TKE), mixing length, Richardson number, potential temperature, and winds were derived from the observations of mean winds and temperature and the TKE budget equation, interpolated to fit the observations, under the flux/gradient and z-less scaling assumptions, and displayed with aerosol profiles. The results indicated higher and more variable levels of TKE and mixing lengths above a typical turbulence maximum at 30–50 m. Oscillations with periods of ∼2 h were common and occasional meso-β fronts and shear zones between 75 and 150 m were seen, which increased TKE aloft and in some cases led to a poorly defined boundary layer top.

Significance Statement

The atmosphere’s boundary layer is the interface between the free atmosphere and natural and human activity near Earth’s surface. The daytime boundary layer has been studied extensively and, because of vigorous sun-driven mixing, is well understood and readily parameterized in forecast and global climate models. In contrast, the nocturnal boundary layer is less well understood or predictable because turbulence is weak and tends to decouple it from the surface and the free atmosphere above. This paper focuses on the least-studied upper part of the nocturnal boundary layer over the southeastern United States where topography and land–sea contrast affect winds, turbulence, and chemical transport.

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Duarte’s current affiliation: National Institute for Space Research, São José dos Campos, Brazil.

Parker: Deceased.

Corresponding author: Robert J. Kurzeja, robert.kurzeja@srnl.doe.gov
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