Skip to main content
Log in

Effects of local and non-local closure PBL schemes on the simulation of Super Typhoon Mangkhut (2018)

  • Research Article
  • Published:
Frontiers of Earth Science Aims and scope Submit manuscript

Abstract

With the convection-permitting simulation of Super Typhoon Mangkhut (2018) with a 3 km resolution for 10.5 days using mesoscale numerical model, Weather Research and Forecasting Model Version 4.1 (WRFV4.1), the influences of local closure QNSE planetary boundary layer (PBL) scheme and non-local closure GFS planetary boundary layer scheme on super typhoon Mangkhut are mainly discussed. It is found that in terms of either track or intensity of typhoon, the local closure QNSE scheme is better than the non-local closure GFS scheme. Local and non-local closure PBL schemes have a large influence on both the intensity and the structure of typhoon. The maximum intensity difference of the simulated typhoon is 50 hPa. The intensity of typhoon is closely related to its variations in structure. In the rapid intensification stage, the typhoon simulated by the QNSE scheme has a larger friction velocity, stronger surface latent heat flux, sensible heat flux and vapor flux, related to a higher boundary height and stronger vertical mixing. The latent heat flux and sensible heat flux on the surface conveyed energy upward for the typhoon while the water vapor was transported upward through vertical mixing. While the water vapor condensed, the latent heat was released, which further warmed the typhoon eyewall, strengthening the convection. The stronger winds also intensified the vertical mixing and the warm-core structure, further strengthened the typhoon. The differences in surface layer schemes dominated the differences between the two simulations.

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.

Similar content being viewed by others

References

  • Bae S Y, Hong S Y, Tao W K (2019). Development of a single-moment cloud microphysics scheme with prognostic hail for the Weather Research and Forecasting (WRF) model. Asia-Pac J Atmos Sci, 55(2): 233–245

    Article  Google Scholar 

  • Braun S A, Tao W K (2000). Sensitivity of high-resolution simulations of hurricane Bob (1991) to planetary boundary layer parameterizations. Mon Weather Rev, 128(12): 3941–3961

    Article  Google Scholar 

  • Deng G, Zhou Y S, Li J T (2005). The experiments of the boundary layer schemes on simulated typhoon Part I: the effect on the structure of typhoon. Chinese J Atmos Sci, 29(3): 417–428 (in Chinese)

    Google Scholar 

  • Ding C H, Li J N, Zhao Y J, Feng Y R (2018). The influence of boundary layer parameterization schemes on autumn typhoon Sarika (2016) in South China Sea. J Tropical Meteorology, 34(5): 657–673 (in Chinese)

    Google Scholar 

  • Deardorff J W (1972). Theoretical expression for the countergradient vertical heat flux. J Geophys Res Atmos, 77(30): 5900–5904

    Article  Google Scholar 

  • Dudhia J (1989). Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model. J Atmos Sci, 46(20): 3077–3107

    Article  Google Scholar 

  • Efstathiou G A, Zoumakis N M, Melas D, Lolis C J, Kassomenos P (2013). Sensitivity of WRF to boundary layer parameterizations in simulating a heavy rainfall event using different microphysical schemes. Effect on large-scale processes. Atmos Res, 132(10): 125–143

    Article  Google Scholar 

  • Emanuel K A (1995). Sensitivity of tropical cyclones to surface exchange coefficients and a revised steady-state model incorporating eye dynamics. J Atmos Sci, 52(22): 3969–3976

    Article  Google Scholar 

  • Filippos T, Demetris C, Silas M, Jos L (2018). Intercomparison of boundary layer parameterizations for summer conditions in the eastern Mediterranean island of Cyprus using the WRF-ARW model. Atmos Sci, 208: 45–59

    Google Scholar 

  • Holtslag A A M, Boville B A (1993). Local versus non-local boundary layer diffusion in a global climate model. Climate (Basel), 6(10): 1825–1842

    Article  Google Scholar 

  • Holtslag A A M, Moeng C H (1991). Eddy diffusivity and counter-gradient transport in the convective atmospheric boundary layer. J Atmos Sci, 48(14): 1690–1698

    Article  Google Scholar 

  • Hong S Y, Pan H L (1996). Non-local boundary layer vertical diffusion in a medium-range forecast model. Mon Weather Rev, 124(10): 2322–2339

    Article  Google Scholar 

  • Huang W Y, Shen X Y, Wang W G, Huang W (2014). Comparison of the thermal and dynamic structural characteristics in boundary layer with different boundary layer parameterizations. Chinese J Geophys, 57(5): 1399–1414 (in Chinese)

    Google Scholar 

  • Janjić Z I (2002). Nonsingular implementation of the Mellor—Yamada level 2.5 scheme in the NCEP Meso model. NCEP Office Note

  • Kaplan J, DeMaria M (2003). Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin. Weather Forecast, 18(6): 1093–1108

    Article  Google Scholar 

  • Li J N, Ding C H, Li F Z, Chen Y L (2020). Effects of single- and doublemoment microphysics schemes on the intensity of super typhoon Sarika (2016). Atmos Res, 238: 104894

    Article  Google Scholar 

  • Li J N, Huang X D, Wang G, Fong S K, Li W B (2009). Numerical simulation study of the inner-core structures and the mechanism for inshore strengthening of South China Sea Typhoon Vongfong (0214) during landfall. J Trop Meteorol, 15(1): 45–48

    Google Scholar 

  • Li J N, Wang G, Lin W S, He Q H, Feng Y R, Mao J Y (2013). Cloud-scale simulation study of Typhoon Hagupit (2008) Part II: Impact of cloud microphysical latent heat processes on typhoon intensity. Atmos Res, 120: 202–215

    Article  Google Scholar 

  • Liu J J, Zhang F M, Pu Z X (2017). Numerical simulation of the rapid intensification of Hurricane Katrina (2005): Sensitivity to boundary layer parameterization schemes. Advances in Atmos Sci, 34(4): 482–496

    Article  Google Scholar 

  • Li X L, Pu Z X (2008). Sensitivity of numerical simulation of early rapid intensification of Hurricane Emily (2005) to cloud microphysical and planetary boundary layer parameterizations. Mon Weather Rev, 136(12): 4819–4838

    Article  Google Scholar 

  • Mellor G L, Yamada T (1982). Development of a turbulence closure model for geophysical fluid problems. Rev Geophys Space Phys, 20(4): 851–875

    Article  Google Scholar 

  • Ming J, Zhang J A (2016). Effects of surface flux parameterization on the numerically simulated intensity and structure of Typhoon Morakot (2009). Advances in Atmos Sci, 33: 58–72

    Article  Google Scholar 

  • Mlawer E J, Taubman S J, Brown P D, Iacono M J, Clough S A (1997). Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. J Geophys Res, 102(D14): 16663–16682

    Article  Google Scholar 

  • Moss M S, Rosenthal S L (1975). On the estimation (from bulk data) of boundary layer variables and cloud base mass flux in mature hurricanes. Mon Weather Rev, 20(4): 851–875

    Google Scholar 

  • Nolan D S, Zhang J A, Stern D P (2009a). Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part I: initialization, maximum winds, and the outer-core boundary layer. Mon Weather Rev, 137(11): 3651–3674

    Article  Google Scholar 

  • Nolan D S, Zhang J A, Stern D P (2009b). Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part II: inner-core boundary layer and eyewall structure. Mon Weather Rev, 137(11): 3675–3698

    Article  Google Scholar 

  • Pleim J E, Chang J S (1992). A non-local closure model for vertical mixing in the convective boundary layer. Atmos Environ, 26A(6): 965–981

    Article  Google Scholar 

  • Ricchi A, Miglietta M M, and et al. (2017). Sensitivity of a Mediterranean tropical-like cyclone to different model configurations and coupling strategies. Atmosphere, 8(5): 92

    Article  Google Scholar 

  • Rotunno R, Bryan G H (2012). Effects of parameterized diffusion on simulated hurricanes. J Atmos Sci, 69(7): 2284–2299

    Article  Google Scholar 

  • Smith R K, Thomsen G L (2010). Dependence of tropical-cyclone intensification on the boundary-layer representation in a numerical model. Quarterly J Royal Meteorol Soc, 136(652): 1671–1685

    Article  Google Scholar 

  • Sukoriansky S, Galperin B, Perov V (2005). Application of a new spectral model of stratified turbulence to the atmospheric boundary layer over sea ice. Boundary-Layer Meteorol, 117(2): 231–257

    Article  Google Scholar 

  • Sun W Q, Li C Y (2018). A review of atmospheric boundary layer parameterization schemes in numerical models. J Marine Meteorology, 38(3): 11–19 (in Chinese)

    Google Scholar 

  • Sun Y, Yi L, Zhong Z, Hu Y J, Ha Y (2013). Dependence of model convergence on horizontal resolution and convective parameterization in simulations of a tropical cyclone at gray-zone resolutions. J Geophys Res, 118(14): 7715–7732

    Article  Google Scholar 

  • Tewari M F, Chen W, Wang J, Dudhia J, Cuemca R H (2004). Implementation and verification of the unified NOAH land surface model in the WRF model. In: 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction: 11–15.

  • Troen I B, Mahrt L (1986). A simple model of the atmospheric boundary layer; sensitivity to surface evaporation. Boundary-Layer Meteorol, 37: 129–148

    Article  Google Scholar 

  • Tymvios F, Demetris C, Silas M, Jos L (2018). Intercomparison of boundary layer parameterizations for summer conditions in the eastern Mediterranean island of Cyprus using the WRF-ARW model. Atmos Res, 208: 45–59

    Article  Google Scholar 

  • Wang Y X, Zhong Z, Sun Y, Hu Y J (2017). The mechanism analysis of the track deviation of tropical cyclone Megi (2010) simulated with two planetary boundary layer schemes. Chinese J Geophy, 60(7): 2545–2555 (in Chinese)

    Google Scholar 

  • Wen X P, Long X, Zhang S W, Li D H (2018). Numerical studies of planetary boundary layer parameterization schemes on super typhoon SANBA (2012) during its initial stage. J Trop Meteorol, 24(3): 288–299

    Google Scholar 

  • Xu H Y, Xu Y Q, Wang Z, Zhu P J, Li X F, Zhai G Q (2017). Modification tests for the coefficient of turbulent mixing length scale in QNSE scheme in the WRF model. Chinese J Atmos Sciences, 41 (2): 357–371 (in Chinese)

    Google Scholar 

  • Yamada T, Mellor G L (1975). A simulation of the Wangara atmospheric boundary layer data. J Atmos Sci, 32: 2309–2329

    Article  Google Scholar 

  • Ying M, Zhang W, Yu H, Lu X Q, Feng J X, Fan Y X, Zhu Y T, Chen D Q (2014). An overview of the China Meteorological Administration tropical cyclone database. J Atmos Ocean Technol, 31(2): 287–301

    Article  Google Scholar 

  • Zhang Y T, Jiang Y X, Tan B K (2013). Influences of different PBL schemes on secondary eyewall formation and eyewall replacement cycle in simulated Typhoon Sinlaku (2008). Acta Meteorol Sin, 27(3): 322–334

    Article  Google Scholar 

  • Zhang J A, Rogers R F, Tallapragada V (2017). Impact of parameterized boundary layer structure on tropical cyclone rapid intensification forecasts in HWRF. Mon Weather Rev, 145: 1413–1426

    Article  Google Scholar 

Download references

Acknowledgements

This study was funded by the National Key Research and Development Program of China (No. 2016YFA0602701), the National Natural Science Foundation of China (Grant Nos. 42075064 and 41875168), Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (No. 2020B1212060025), and this work was supported by the Jiangsu Collaborative Innovation Center for Climate Change.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiangnan Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ruan, Z., Li, J., Li, F. et al. Effects of local and non-local closure PBL schemes on the simulation of Super Typhoon Mangkhut (2018). Front. Earth Sci. 16, 277–290 (2022). https://doi.org/10.1007/s11707-020-0854-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11707-020-0854-9

Keywords

Navigation