Numerical simulation of tropical cyclone thane: role of boundary layer and surface drag parameterization schemes
Tóm tắt
In the recent times, several advanced numerical models are utilized for the prediction of the intensity, track and landfall time of a cyclone. Still there are number of issues concerning their prediction and the limitation of numerical models in addressing those issues. The most pertinent question is how intensive a cyclone can become before it makes a landfall and where the cyclone moves under the ambient large-scale flow. In this paper, detailed study has been carried out using Weather Research Forecast model with two boundary schemes to address the above question by considering a recent tropical cyclone in Bay of Bengal region of North Indian Ocean. In addition, the impact of the surface drag effect on the low-level winds and the intensity of the cyclone are also studied. The result reveals that large differences are noted in the ocean surface fluxes between YSU and MYJ with MYJ producing relatively higher fluxes than YSU. It is found that the YSU scheme produced a better simulation for the THANE cyclone in terms of winds, pressure distribution and cloud fractions. Comparison with available observations indicated the characteristics of horizontal divergence, vorticity and vector track positions produced by YSU experiment are more realistic than with MYJ and other experiments. However, when the drag coefficient is changed as 0.5 or 2.0 from the default values, appreciable changes in the surface fluxes are not noticed. A maximum precipitation is reported in YSU as compared to the MYJ PBL scheme for the tropical cyclone THANE.
Tài liệu tham khảo
Bengtsson L (2001) Hurricane threats. Science 293:440–441
Braun SA, Tao WK (2000) Sensitivity of high-resolution simulations of hurricane Bob (1991) to planetary boundary layer parameterizations. Mon Weather Rev 128(12):3941–3961
Chen F, Dudhia J (2001) Coupling an advanced land surface–hydrology model with the Penn State–NCAR MM5 modeling system. Part II: preliminary model validation. Mon Weather Rev 129(4):587–604
Dudhia J (1989) Numerical study of convection observed during winter monsoon experiment using a mesoscale two-dimensional model. J Atmos Sci 46:3077–3107
Gopalakrishnan SG, Goldenberg S, Quirino T, Zhang X, Marks F, Yeh KS, Tallapragada V (2012) Toward Improving high-resolution numerical hurricane forecasting: influence of model horizontal grid resolution, initialization, and physics. Weather Forecast 27(3):647–666
Greeshma MM, Srinivas CV, Yesubabu V, Naidu CV, Baskaran R, Venkatraman B (2015) Impact of local data assimilation on tropical cyclone predictions over the Bay of Bengal using the ARW model. Ann Geophys 33(7):805–828
Hong S-Y, Noh Y, Dudhia J (2006) A new vertical diffusion package with an explicit treatment of entrainment processes. Mon Weather Rev 134:2318–2341
Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G, Hong Y, Bowman KP, Stocker EF (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi- global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeor 8(1):38–55
Janjic ZI (1994) The step-mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon Weather Rev 122:927–945
Kanase RD, Salvekar PS (2014) Study of weak intensity cyclones over bay of Bengal using WRF model. Atmos Clim Sci 4:534–548
Klemp JB, Gill DO, Barker DM, Duda MG, Wang W, Powers JG (2008) A description of the advanced research WRF version 3
Li X, Pu Z (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
Michalakes J, Dudhia J, Gill DO, Henderson T, Klemp J, Skamarock W, Wand W (2005) The weather research and forecast model: software architecture and performance. In: 11th workshop on high performance computing in meteorology. World scientific, pp 156–168
Neumann CJ (1993) Global guide to tropical cyclone forecasting. WMO/TC-No. 560, Report no. TCP-31, World Meteorological Organization, Geneva, Switzerland
Nolan DS, Zhang JA, Stern DP (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 137:3651–3674
Nolan DS, Stern DP, Zhang JA (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 137:3675–3698
Raju PVS, Potty J, Mohanty UC (2011) Sensitivity of physical parameterizations on prediction of tropical cyclone Nargis over the Bay of Bengal using WRF model. Meteorol Atmos Phys 113(3–4):125–137
Raju PVS, Potty J, Mohanty UC (2012) Prediction of severe tropical cyclones over the Bay of Bengal during 2007–2010 using high resolution mesoscale model. Nat Hazards 63:1361–1374
Rao DVB, Hari Prasad D, Srinivas D (2009) Impact of horizontal resolution and the advantages of the nested domains approach in the prediction of tropical cyclone intensification and movement. J Geophys Res Atmos 114(11):1–24
Srinivas CV, Rao DVB, Yesubabu V, Baskaran R, Venkatraman B (2013) Tropical cyclone predictions over the Bay of Bengal using the high-resolution advanced research weather research and forecasting model. Q J R Meteorol Soc 139(676):1810–1825
Yeh KS, Zhang X, Gopalakrishnan S, Aberson S, Rogers R, Marks FD, Atlas R (2012) Performance of the experimental HWRF in the 2008 hurricane season. Nat Hazards 63(3):1439–1449
Yesubabu V, Srinivas CV, Hariprasad KBRR, Baskaran R (2013) A study on the impact of assimilation of conventional and satellite observations on the numerical simulation of Tropical Cyclones JAL and THANE using 3DVAR. Pure appl Geophys 171(8):2023–2042
Zhang X, Quirino TS, Gopalakrishnan S, Yeh KS, Marks FD, Goldenberg SB (2011) HWRF: improving hurricane forecasts with high resolution modeling. Comput Sci Eng 13:13–21