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Eddy dissipation rates in the dryline boundary layer

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Abstract

The quantification of turbulence across the entire atmospheric boundary layer (ABL) is relatively rare compared to the surface layer. In this study we investigate the variation in profiles of vertical velocity variance, wind shear and eddy dissipation rate (ε) across the ABL in context with the dryline event over rain shadow region of the Western Ghats in India. The study primarily utilizes the wind profiler radar measurements along with the micrometeorological tower measurements. The spectral width measurements from the wind profiler radar are utilized for estimating turbulence spectral width after applying necessary corrections. Further, the vertical velocity variance is estimated through a combination of velocity and spectral width measurements from wind profiler radar. The vertical velocity variance is found to vary from 0.5 to 5.0 m2s−2; while the magnitude of ε varies between 10−2.0 and 10−4.5 m2s−3 within the ABL. An increase of up to 1.0 m2s−2 is observed in the vertical velocity variance across the ABL, while simultaneously higher ε magnitudes are observed near the entrainment zone of the ABL during the dryline event. The highly turbulent state of the ABL is found to be associated with significantly higher wind shear over the site from 2 to 4 km altitude. The study provides detailed insights into the role of free-tropospheric entrainment and wind shear on intense ABL deepening during the dryline event from 28 to 30 May 2019.

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References

  1. Stull RB (1988) An introduction to boundary-layer meteorology. Kluwer Academic Publishers, Dordrecht

    Book  Google Scholar 

  2. Li Z, Guo J, Ding A, Liao H, Liu J, Sun Y, Wang T, Xue H, Zhang H, Zhu B (2017) Aerosol and boundary-layer interactions and impact on air quality. Natl Sci Rev 4(6):810–833

    Article  Google Scholar 

  3. Ortiz-Amezcua P, Andújar-Maqueda J, Manninen AJ, Pentikäinen P, O’Connor EJ, Stachlewska IS, de Arruda Moreira G, Benavent-Oltra JA, Casquero-Vera JA, Poczta P, Wang D (2022) Dynamics of the Atmospheric Boundary Layer over two middle-latitude rural sites with Doppler lidar. Atmos Res 280:106434

    Article  Google Scholar 

  4. McCaffrey K, Bianco L, Johnston P, Wilczak JM (2017) A comparison of vertical velocity variance measurements from wind profiling radars and sonic anemometers. Atmos Meas Tech 10:999–1015. https://doi.org/10.5194/amt-10-999-2017

    Article  Google Scholar 

  5. McCaffrey K, Bianco L, Wilczak JM (2017) Improved observations of turbulence dissipation rates from wind profiling radars. Atmos Meas Tech 10:2595–2611. https://doi.org/10.5194/amt-10-2595-2017

    Article  Google Scholar 

  6. Bodini N, Lundquist JK, Optis M (2020) Can machine learning improve the model representation of turbulent kinetic energy dissipation rate in the boundary layer for complex terrain? Geosci Model Dev 13:4271–4285. https://doi.org/10.5194/gmd-13-4271-2020

    Article  Google Scholar 

  7. Hocking WK (1985) Measurement of turbulent energy dissipation rates in the middle atmosphere by radar techniques. Radio Sci 20:1403–1422

    Article  Google Scholar 

  8. Angevine WM, Doviak RJ, Sorbjan ZS (1994) Remote sensing of vertical velocity variance and surface heat flux in a convective boundary layer. J Appl Meteorol 33:977–983

    Article  Google Scholar 

  9. Solanki R, Guo J, Lv Y, Zhang J, Wu J, Tong B, Li J (2022a) Elucidating the atmospheric boundary layer turbulence by combining UHF radar wind profiler and radiosonde measurements over urban area of Beijing. Urban Clim 43:101151. https://doi.org/10.1016/j.uclim.2022.101151

    Article  Google Scholar 

  10. Eng K, Coulter R, Brutsaert W (2003) Vertical Velocity Variance in the mixed layer from Radar wind profilers. J Hydrol Eng 8:301–307

    Article  Google Scholar 

  11. Dewani N, Sakradzija M, Schlemmer L, Leinweber R, Schmidli J (2023) Dependency of vertical velocity variance on meteorological conditions in the convective boundary layer. Atmos Chem Phys 23:4045–4058. https://doi.org/10.5194/acp-23-4045-2023

    Article  Google Scholar 

  12. Kotthaus S, Bravo-Aranda JA, Collaud Coen M, Guerrero-Rascado JL, Costa MJ, Cimini D, O’Connor EJ, Hervo M, Alados-Arboledas L, Jim ́enez-Portaz M, Mona L, Ruffieux D, Illingworth A, Haeffelin M (2022) Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations. Atmos Meas Tech 16:433–479. https://doi.org/10.5194/amt-16-433-2023

    Article  Google Scholar 

  13. Tucker SC, Senff CJ, Weickmann AM, Brewer WA, Banta RM, Sandberg SP, Law DC, Hardesty RM (2009) Doppler lidar estimation of mixing height using turbulence, shear, and aerosol profiles. J Atmos Ocean Technol 26:673–688

    Article  Google Scholar 

  14. Barlow JF, Dunbar TM, Nemitz EG, Wood CR, Gallagher M, Davies F, O’Connor E, Harrison RM (2011) Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II. Atmos Chem Phys 11:2111–2125. https://doi.org/10.5194/acp-11-2111-2011

    Article  Google Scholar 

  15. Cohn SA (1995) Radar measurement of turbulent eddy dissipation rate in the troposphere: a comparison of techniques. J Atmos Ocean Tech 12:85–95

    Article  Google Scholar 

  16. Yang B, Qian Y, Berg LK, Ma P-L, Wharton S, Bulaevskaya V, Yan H, Hou Z, Shaw WJ (2016) Sensitivity of turbine-height wind speeds to parameters in planetary boundary-layer and surface-layer schemes in the weather research and forecasting model. Boundary-Layer Meteorol 162:117–142. https://doi.org/10.1007/s10546-016-0185-2

    Article  Google Scholar 

  17. Kaimal J (1978) Sonic anemometer measurement of atmospheric turbulence. In: Proceedings of the Dynamic Flow Conference 1978 on Dynamic Measurements in Unsteady Flows. Springer, pp. 551–565

  18. Bodini N, Lundquist JK, Krishnamurthy R, Pekour M, Berg LK, Choukulkar A (2019) Spatial and temporal variability of turbulence dissipation rate in complex terrain. Atmos Chem Phys 19:4367–4382. https://doi.org/10.5194/acp-19-4367-2019

    Article  Google Scholar 

  19. Frehlich R, Meillier Y, Jensen ML, Balsley B (2003) Turbulence measurements with the CIRES tethered lifting system during CASES-99: calibration and spectral analysis of temperature and velocity. J Atmos Sci 60:2487–2495

    Article  Google Scholar 

  20. Nicholls S (1978) Measurements of turbulence by an instrumented aircraft in a convective atmospheric boundary layer over the sea. Q J R Meteorol Soc 104:653–676. https://doi.org/10.1002/qj.49710444109

    Article  Google Scholar 

  21. Lemone MA, Pennell WT (1980) A comparison of turbulence measurements from aircraft. J Appl Meteorol 19:1420–1437

    Article  Google Scholar 

  22. Greiner M, Würz W (2022) In-flight measurement of free-stream turbulence in the convective boundary layer. Exp Fluids 63:162. https://doi.org/10.1007/s00348-022-03506-6

    Article  Google Scholar 

  23. Kantha L, Lawrence D, Luce H, Hashiguchi H, Tsuda T, Wilson R, Mixa T, Yabuki M (2017) Shigaraki UAV-Radar experiment (ShUREX 2015): an overview of the campaign with some preliminary results. Prog Earth Planet Sci 4:19

    Article  Google Scholar 

  24. Luce H, Kantha L, Hashiguchi H, Lawrence DA (2018) Turbulence kinetic energy dissipation rates estimated from concurrent UAV and MU radar measurements. Earth Planet Space 70:207

    Article  Google Scholar 

  25. Jacoby-Koaly S, Campistron B, Bernard S, B´enech B, Girard-Ardhuin F, Dessens J, Dupont E, Carissimo B (2002) Turbulent dissipation rate in the boundary layer via UHF wind profiler Doppler spectral width measurements. Boundary-Layer Meteorol 103:361–389

    Article  Google Scholar 

  26. Shaw WJ, LeMone MA (2003) Turbulence dissipation rate measured by 915 MHz wind profiling radars compared with in-situ tower and aircraft data, in: 12th Symposium on Meteorological Observations and Instrumentation, American Meteorological Society, California. https://ams.confex.com/ams/pdfpapers/58647.pdf

  27. Kalapureddy MCR, Kishore Kumar K, Sivakumar V, Ghosh AK, Jain AR, Krishna Reddy K (2007) Diurnal and seasonal variability of TKE dissipation rate in the ABL over a tropical station using UHF wind profiler. J Atmos Solar-Terr Phys 69:419–430

    Article  Google Scholar 

  28. Prabha TV, Goswami BN, Murthy BS, Kulkarni JR (2011) Nocturnal low-level jet and ‘atmospheric streams’ over the rain shadow region of Indian Western Ghats. Q J R Meteorol Soc 137:1273–1287. https://doi.org/10.1002/qj.818

    Article  Google Scholar 

  29. Ziegler CL, Rasmussen EN (1998) The initiation of moist convection at the dryline: forecasting issues from a case study perspective. Weather Forecast 13:1106–1131

    Article  Google Scholar 

  30. Campbell PC, Geerts B, Bergmaier PT (2014) A dryline in southeast Wyoming. Part I: Multiscale analysis using observations and modeling on 22 June 2010. Mon Weather Rev 142:268–289. https://doi.org/10.1175/MWR-D-13-00049.1

    Article  Google Scholar 

  31. van Heerwaarden CC, Vilà-Guerau de Arellano J, Moene AF, Holtslag AAM (2009) Interactions between dry-air entrainment, surface evaporation and convective boundary-layer development. Q J R Meteorol Soc 135(642):1277–1291. https://doi.org/10.1002/qj.431

    Article  Google Scholar 

  32. Sathyanadh A, Prabhakaran T, Patil C, Karipot A (2017) Planetary boundary layer height over the indian subcontinent: variability and controls with respect to monsoon. Atmos Res 195:44–61. https://doi.org/10.1016/j.atmosres.2017.05.010

    Article  Google Scholar 

  33. Solanki R, Malap N, Gayatri K, Rao YJ, Prabhakaran T (2022b) Characteristics of a pre-monsoon dryline atmospheric boundary layer over the rain shadow region: a case study. Front Remote Sens 3:1028587. https://doi.org/10.3389/frsen.2022.1028587

    Article  Google Scholar 

  34. Zhang L, Zhang H, Li Q, Wei W, Cai X, Song Y, Mamtimin A, Wang M, Yang F, Wang Y, Zhou C (2022) Turbulent mechanisms for the deep convective boundary layer in the taklimakan desert. Geophys Res Lett 49:526. https://doi.org/10.1029/2022GL099447

    Article  Google Scholar 

  35. Driedonks AGM, Tennekes H (1984) Entrainment effects in the well-mixed atmospheric boundary layer. Boundary-Layer Meteorol 30(1–4):75–105. https://doi.org/10.1007/BF00121950

    Article  Google Scholar 

  36. Kulkarni JR, Maheshkumar RS, Morwal SB, Padma kumari B, Konwar M, Deshpande CG, Joshi RR, Bhalwankar RV, Pandithurai G, Safai PD, Narkhedkar SG, Dani KK, Nath A, Sathy N, Sapre VV, Puranik PV, Kandalgaonkar SS, Mujumdar VR, Khaladkar RM, Vijaykumar R, Prabha TV, Goswami BN (2012) The cloud aerosol interaction and precipitation enhancement experiment (CAIPEEX): overview and preliminary results. Curr Sci 102:413–425

  37. Chowdhuri S, Todekar K, Murugavel P, Karipot A, Prabha TV (2021) Unravelling the turbulent structures of temperature variations during a gust front event: a case study. Environ Fluid Mech (Dordr) 21:263–281. https://doi.org/10.1007/s10652-020-09769-z

  38. Hocking WK (1988) Two years of continuous measurements of turbulence parameters in the upper mesosphere and lower thermosphere made with a 2-MHz radar. J Geophys Res 93:2475–2491

    Article  Google Scholar 

  39. Hocking WK (1983) On the extraction of atmospheric turbulent parameters from radar backscatter Doppler spectra: I. Theory. J Atmos Terr Phys 45:89–102

    Article  Google Scholar 

  40. Nastrom GD, Eaton FD (1997) Turbulence eddy dissipation rates from radar observations at 5–20 km at White Sands missile range, New Mexico. J Geophys Res Atmos 102:19495–19505

    Article  Google Scholar 

  41. Angevine WM, Avery SK, Ecklund WL, Carter DA (1993) Fluxes of heat and momentum measured with a boundary-layer wind profiler radar-sounding system. J Appl Meteorol 32:73–80

    Article  Google Scholar 

  42. Albrecht B, Fang M, Ghate V (2016) Exploring stratocumulus cloud-top entrainment processes and parameterizations by using doppler cloud radar observations. J Atmos Sci 73:729–742

    Article  Google Scholar 

  43. Deardorff JW (1970) Convective velocity and temperature scales for the unstable planetary boundary layer and for rayleigh convection. J Atmos Sci 27:1211–1213

    Article  Google Scholar 

  44. Sloss PW, Atlas D (1968) Wind Shear and Reflectivity Gradient Effects on Doppler Radar Spectra. J Atmos Sci 25:1080–1089

    Article  Google Scholar 

  45. Gossard EE, Wolfe DE, Moran KP, Paulus RA, Anderson KD, Rogers LT (1998) Measurement of clear-air gradients and turbulence properties with radar wind profilers. J Atmos Ocean Technol 15:321–342

    Article  Google Scholar 

  46. White AB, Lataitis RJ, Lawrence RS (1999) Space and time filtering of remotely sensed velocity turbulence. J Atmos Ocean Technol 16:1967–1972

    Article  Google Scholar 

  47. Scipión D, Palmer R, Chilson P, Fedorovich E, Botnick A (2009) Retrieval of convective boundary layer wind field statistics from radar profiler measurements in conjunction with large eddy simulation. Meteorol Z 18:175–187

    Article  Google Scholar 

  48. Hocking WK (1996) An assessment of the capabilities and limitations of radars in measurements of upper atmospheric turbulence. Adv Space Res 17:3–47

    Article  Google Scholar 

  49. Hogan RJ, Grant ALM, Illingworth AJ, Pearson GN, O’Connor EJ (2009) Vertical velocity variance and skewness in clear and cloud-topped boundary layers as revealed by Doppler lidar. Q J R Meteorol Soc 135:635–643. https://doi.org/10.1002/qj.413

    Article  Google Scholar 

  50. Lenschow DH, Wyngaard JC, Pennell WT (1980) Mean-Field and Second-Moment Budgets in a Baroclinic, Convective Boundary Layer. J Atmos Sci 37:1313–1326

    Article  Google Scholar 

  51. Berg LK, Newsom RK, Turner DD (2017) Year-long vertical velocity statistics derived from doppler lidar data for the continental convective boundary layer. J Appl Meteorol Climatol 56:2441–2454. https://doi.org/10.1175/JAMC-D-16

    Article  Google Scholar 

  52. Lenschow DH, Lothon M, Mayor SD, Sullivan PP, Canut G (2012) A comparison of higher-order vertical velocity moments in the convective boundary layer from lidar with in situ measurements and large-eddy simulation. Boundary-Layer Meteorol 143:107–123. https://doi.org/10.1007/s10546-011-9615-3

    Article  Google Scholar 

  53. Fedorovich E, Conzemius R (2008) Effects of wind shear on the atmospheric convective boundary layer structure and evolution. Acta Geophys 56(1):114–141. https://doi.org/10.2478/s11600-007-0040-4

    Article  Google Scholar 

  54. Caputi DJ, Trousdell J, Mehrotra S, Conley S, Alexander GA, Oldroyd HJ, Faloon I (2023) Entrainment rates and their synoptic dependence of wind speed aloft in California’s central valley. Boundary-layer Meteorl 186:505–532. https://doi.org/10.1007/s10546-022-00770-1

    Article  Google Scholar 

  55. Miao Y, Hu X-M, Liu S, Qian T, Xue M, Zheng Y, Wang S (2015) Seasonal variation of local atmospheric circulations and boundary layer structure in the Beijing-Tianjin-Hebei region and implications for air quality. J Adv Model Earth Syst 7:1602–1626

    Article  Google Scholar 

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Acknowledgements

CAIPEEX is fully funded and supported by Ministry of Earth Sciences (MoES), Govt. Of India. Authors express their sincere thanks to the Director, IITM for the continuous support and encouragement. IITM established the laboratories, as part of CAIPEEX, at Savitribai Phule Shikshan Prasarak Mandal’s N. B. Navale Sinhgad College of Engineering, Solapur, Maharashtra, India and also at Sri Tulja Bhavani College of Engineering, Tuljapur, Maharashtra, India under Memorandum of Understandings (MoUs). Authors acknowledge the continuous efforts by Project Staff at these two laboratories for smooth functioning of multiple instruments and archival of quality data sets.

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RS and TP conceptualized the article. RS contributed to the background research and analysis of the measurements. RS wrote majority of the manuscript. NM and JR contributed towards the data curation, data analysis and validation. TP and PP contributed to the interpretation of the results.

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Correspondence to Raman Solanki.

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Solanki, R., Rao, Y.J., Malap, N. et al. Eddy dissipation rates in the dryline boundary layer. Environ Fluid Mech (2023). https://doi.org/10.1007/s10652-023-09954-w

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