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Frequency of Boundary-Layer-Top Fluctuations in Convective and Stable Conditions Using Laser Remote Sensing

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Abstract

The planetary boundary-layer (PBL) height is determined with high temporal and altitude resolution from lidar backscatter profiles. Then, the frequencies of daytime thermal updrafts and downdrafts and of nighttime gravity waves are obtained applying a fast Fourier transform on the temporal fluctuation of the PBL height. The principal frequency components of each spectrum are related to the dominant processes occurring at the daytime and nighttime PBL top. Two groups of cases are selected for the study: one group combines daytime cases, measured in weak horizontal wind conditions and dominated by convection. The cases show higher updraft and downdraft frequencies for the shallow, convective boundary layer and lower frequencies for a deep PBL. For cases characterized by strong horizontal winds, the frequencies directly depend on the wind speed. The temporal variation of the PBL height is determined also in the likely presence of lee waves. For nighttime cases, the main frequency components in the spectra do not show a real correlation with the nocturnal PBL height. Altitude fluctuations of the top of the nocturnal boundary layer are observed even though the boundary layer is statically stable. These oscillations are associated with the wind shear effect and with buoyancy waves at the PBL top.

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Abbreviations

PBL:

Planetary boundary layer

CBL:

Convective boundary layer

EARLINET:

European Aerosol Research Lidar Network

EC:

European Commission

EZ:

Entrainment zone

FFT:

Fast Fourier transform

FOV:

Field of View

GS:

Gradient signal

KH:

Kelvin–Helmholtz

NBL:

Nocturnal boundary layer

RCS:

Range-corrected signal

SNR:

Signal-to-noise ratio

UTC:

Universal Coordinated Time

Var:

Variance

References

  • Alpers W, Stilke G (1996) Observation of nonlinear wave disturbance in the marine atmosphere by the synthetic aperture radar aboard the ERS-1 satellite. J Geophys Res 101(C3): 6513–6525

    Article  Google Scholar 

  • Beyrich F, Gryning SE (1997) Estimation of the entrainment zone depth in a shallow convective boundary layer from sodar data. J Appl Meteorol 37: 255–268

    Article  Google Scholar 

  • Blumen W (ed) (1990) Atmospheric processes over complex terrain. American Meteorological Society, Boston, 394 pp

  • Böckmann C, Wandinger U, Ansmann A, Bösenberg J et al (2004) Aerosol lidar intercomparison in the framework of EARLINET: Part II-aerosol backscatter algorithms. Appl Opt 43:977–989

    Google Scholar 

  • Bösenberg J, Linné H (2002) Laser remote sensing of the planetary boundary layer. Meteorol Z 11: 233–240

    Article  Google Scholar 

  • Bösenberg J, Matthias V (2003) EARLINET: European Aerosol Research Lidar Network to establish an aerosol climatology. Final report for the period of February 2000 to February 2003 (contract EVRI-CTI999-40003), 62 pp

  • Caccia JL, Benech B, Klaus V (1997) Space–time description of nonstationary trapped lee waves using ST radars, aircraft and constant volume balloons during the PYREX experiment. J Atmos Sci 54: 1821–1833

    Article  Google Scholar 

  • Caughey SJ, Palmer SG (1979) Some aspects of turbulence structure through the depth of the convective boundary layer. Q J Roy Meteorol Soc 105: 811–827

    Article  Google Scholar 

  • De Wekker SFJ, Kossmann M, Fielder F (1997) Observations Of daytime mixed layer heights over mountainous terrain during the TRACT field campaign. In: Proceedings of the 12th AMS symposium on boundary layers and turbulence, Vancouver, BC, Canada. American Meteorological Society, Boston, pp 498–499

  • Deardorff JW (1969) Numerical study of heat transport by internal gravity waves above a growing unstable layer. Phys Fluids Suppl II 12: 184–194

    Google Scholar 

  • Doyle JD, Smith RB (2003) Mountain waves over the Hohe Tauern: influence of upstream diabatic effects. Q J Roy Meteorol Soc 129: 799–824

    Article  Google Scholar 

  • Flamant C, Pelon J, Flamant PH, Durand P (1997) Lidar determination of the entrainment zone thikness at the top of the unstable marine atmospheric boundary layer. Boundary-Layer Meteorol 83: 247–284

    Article  Google Scholar 

  • Garratt JR (1992) The atmospheric boundary layer. Cambridge University Press, UK, p 316 pp

    Google Scholar 

  • Greenhut GK, Khalsa SJS (1987) Convective elements in the marine atmospheric boundary layer. Part I: Conditional sampling statistics. J Appl Meteorol 26: 813–823

    Article  Google Scholar 

  • Hägeli P (1998) Evaluation of a new technique for extracting mixed layer depth and entrainment zone thickness from lidar backscatter profiles. Diploma thesis at the Dept. of Geography of the Swiss Federal Institute of Technology ETHZ

  • Hägeli P, Steyn DG, Strawbridge KB (2000) Spatial and temporal variability of mixed-layer depth and entrainment zone thickness. Boundary-Layer Meteorol 97: 47–71

    Article  Google Scholar 

  • Hennemuth B, Lammert A (2006) Determination of the atmospheric boundary layer height from radiosonde and lidar backscatter. Boundary-Layer Meteorol 120: 181–200

    Article  Google Scholar 

  • Kunz GJ, De Leeue G, Becker E, O’Dowd CD (2002) Lidar observations of atmospheric boundary layer stucture and sea spray aerosol plumes generation and transport at Mace Head, Ireland. (PARFORCE experiment). J Geophys Res 107(D19):8106. doi:10.1029/2001JD001240

    Google Scholar 

  • Lammert A, Bösenberg J (2006) Determination of the convective boundary layer height with laser remote sensing. Boundary-Layer Meteorol 119: 158–170

    Article  Google Scholar 

  • Lane TP, Reeder MJ, Morton BR, Clark TL (2000) Observations and numerical modelling of mountain waves over the Southern Alps of New Zealand. Q J R Meteorol Soc 126: 2765–2788

    Article  Google Scholar 

  • Martucci G, Matthey R, Mitev V, Richner H (2007) Comparison between backscatter lidar and radiosonde measurements of the diurnal and nocturnal stratification in the lower troposphere. J Atmos Ocean Technol 24: 1231–1244

    Article  Google Scholar 

  • McIlveen R (1992) Fundamentals of weather and climate. Chapman & Hall, UK, p 497 pp

    Google Scholar 

  • Menut L, Flamant C, Pelon J, Flamant PH (1999) Urban boundary layer height determination from lidar measurements over the Paris area. Appl Opt 38: 945–954

    Article  Google Scholar 

  • Nance L, Durran D (1997) A modeling study of nonstationary trapped mountain lee waves. Part I: Mean flow variability. J Atmos Sci 54: 2275–2291

    Article  Google Scholar 

  • Nance L, Durran D (1998) A modeling study of nonstationary trapped mountain lee waves. Part II: Nonlinearity. J Atmos Sci 55: 1429–1445

    Article  Google Scholar 

  • Neu U, Künzle T, Wanner H (1994) On the relation between ozone storage in the residual layer and the daily variation in near-surface ozone concentration—a case study. Boundary-Layer Meteorol 69: 221–247

    Article  Google Scholar 

  • Ralph FM, Neiman PJ, Keller TL, Levinson D, Fedor L (1997) Observations, simulations, and analysis of nonstationary trapped lee waves. J Atmos Sci 54: 1308–1333

    Article  Google Scholar 

  • Rampanelli G, Zardi D (2004) A method to determine the capping inversion of the convective boundary layer. J Appl Meteorol 43: 925–933

    Article  Google Scholar 

  • Rayment R, Readings CJ (1974) A case study of the structure and energetics of an inversion. Q J Roy Meteorol Soc 100: 221–233

    Article  Google Scholar 

  • Scorer RS (1957) Experiments on convection of isolated masses of buoyant fluid. J Fluid Mech 2: 583–594

    Article  Google Scholar 

  • Sicard M, Perez C, Rocadenbosch F, Baldasano J, Garcıa-Vizcaino D (2006) Mixed-layer depth determination in the Barcelona Coastal Area from regular lidar measurements: methods, results and limitations. Boundary-Layer Meteorol 119:135–157

    Google Scholar 

  • Siebert P, Beyrich F, Gryning SE, Joffre S, Rasmussen A, Tercier Ph (2001) Review and intercomparison of operational methods for the determination of the mixing height. Atmos Environ 34: 1001–1027

    Article  Google Scholar 

  • Steyn DG, Baldi M, Hoff RM (1998) A new technique to derive mixed layer depth and entrainment zone thickness from lidar profiles. In: Abstracts of papers of the 19th international laser radar conference (ILRC), Annapolis, USA, 6–10 July 1998, pp 461–464

  • Steyn DG, Baldi M, Hoff RM (1999) The detection of mixed layer depth and entrainment zone thickness from lidar backscatter profiles. J Atmos Ocean Technol 16: 953–959

    Article  Google Scholar 

  • Stull RB (1973) Inversion rise model based on penetrative convection. J Atmos Sci 30: 1092–1099

    Article  Google Scholar 

  • Stull RB (1988) An introduction to boundary layer meteorology. Kluwer Academic Publishers, Dordrecht, 666 pp

  • Weitkamp C (2005) Lidar: range-resolved optical remote sensing of the atmosphere. Springer series of optical sciences, vol 102, 460 pp

  • Wiegner M, Emeis S, Freudenthaler V, Heese B, Junkermann W, Münkel Ch, Schäfer K, Seefeldner M, Vogt S (2006) Mixing layer height over Munich, Germany: variability and comparisons of different methodologies. J Geophys Res 111:D13201. doi:10.1029JD006593

  • Young GS (1988a) Convection in the atmospheric boundary layer. Earth Sci Rev 25: 179–198

    Article  Google Scholar 

  • Young GS (1988b) Turbulence structure of the convective boundary layer I: variability of normalized turbulence statistics. J Atmos Sci 45: 719–726

    Article  Google Scholar 

  • Young GS (1988c) Turbulence structure of the convective boundary layer II: PHOENIX 78 aircraft observations of thermals and their environment. J Atmos Sci 45: 727–735

    Article  Google Scholar 

  • Zampieri M, Malguzzi P, Buzzi A (2005) Sensitivity of quantitative precipitation forecast to boundary layer parameterization: a flash flood case study in the Western Mediterranean. Nat Hazards Earth Syst Sci 5: 603–612

    Article  Google Scholar 

Download references

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Correspondence to Giovanni Martucci.

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Giovanni Martucci and Renaud Matthey—formerly at Observatory of Neuchâtel, Rue de l’Observatoire 58, CH-2002, Neuchâtel, Switzerland.

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Martucci, G., Matthey, R., Mitev, V. et al. Frequency of Boundary-Layer-Top Fluctuations in Convective and Stable Conditions Using Laser Remote Sensing. Boundary-Layer Meteorol 135, 313–331 (2010). https://doi.org/10.1007/s10546-010-9474-3

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