High-Resolution Numerical Simulation of Typhoon Longwang (2005) with the Spectrum Nudging Technique
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Vol.21 No.4 JOURNAL OF TROPICAL METEOROLOGY December 2015 Article ID: 1006-8775(2015) 04-0311-15 HIGH-RESOLUTION NUMERICAL SIMULATION OF TYPHOON LONGWANG (2005) WITH THE SPECTRUM NUDGING TECHNIQUE 1, 2 2 2 LI Jing (李 静) , TANG Jian-ping (汤剑平) , FANG Juan (方 娟) (1. Shanghai Central Meteorological Observatory, Shanghai Meteorological Bureau, Shanghai 200030 China; 2. Key Laboratory of Mesoscale Severe Weather (MOE), School of Atmospheric Sciences, Nanjing University, Nanjing 210043 China) Abstract: With the Weather Research and Forecasting model (WRFV3.2.1), the application of spectrum nudging techniques in numerical simulation of the genesis and development of typhoon Longwang (2005) is evaluated in this work via four numerical experiments with different nudging techniques. It is found that, due to the ability to capture the large-scale fields and to keep the meso-to small-scale features derived from the model dynamics, the experiment with spectrum nudging technique can simulate the formation, intensification and motion of Longwang properly. The improvement on the numerical simulation of Longwang induced by the spectrum nudging depends on the nudging coefficients. A weak spectrum nudging does not make significant improvement on the simulation of Longwang. Although the experiment with four-dimensional data assimilation, i.e., FDDA, also derives the genesis and movement of Longwang appropriately, it fails to simulate the intensifying process of Longwang properly. The reason is that, as the large-scale features derived from the model are nudged to the observational data, the meso- to small-processes produced by the model dynamics important to the intensification of typhoon are nearly smoothed by FDDA. Key words: typhoon; genesis; intensification; spectrum nudging; FDDA CLC number: P444 Document code: A doi: 10.16555/j.1006-8775.2015.04.001 1 INTRODUCTION numerical model, the nudging methods are usually adopted in the numerical simulation. A widely used Along with the development of numerical nudging technique in the numerical model is the calculation techniques and the appearance of traditional nudging, i.e., four-dimensional data high-speed computers, numerical models become an assimilation (FDDA), which is conducted by adding important tool in the studies on tropical cyclones nudging terms in the model equations to reduce the (TCs). To improve the ability of numerical models to deviations of the model-simulated fields from the simulate TCs, many efforts have been made, such as observations (Stauffer and Seaman[13, 14]; Stauffer et increasing the horizontal grid resolution to as much as [15] [1] [2] al. ). Different from FDDA, the spectral nudging to 1 km (Chen et al. ; Menelaou et al. ), modifying [16] [3] technique, proposed by Waldron and then improved the parameterization schemes (Lin et al. ; Ma and by von Storch[17], is conducted by adding nudging Tan[4]; Deshpande et al.[5]), and improving the initial [6] [7] terms in the spectral space. In this way, the conditions (Zou and Xiao ; Zhang et al. ; Yuan et model-derived large-scale fields can be adjusted to be al.[8]; Ma and Tan[9]; Yuan et al.[10]; Liu et al.[11]; [12] close to the observations while the model-simulated Zhang et al. ). meso- to small-scale fields are left unmodified. Due to the vital role of the large-scale Recently, many regional climate models adopt background flow played in the motion and evolution the spectral nudging technique in simulating the of TCs, the appropriate description of the large-scale climatological activity of TCs (Knutson et al.[18]; background circulation in which TC is embedded by Feser and von Storch[19]; Cha et al.[20]; Feser and the numerical model is a precondition of successful Barcikowska[21]; Cao et al.[22]). Knutson et al.[18] simulation of TCs. To ensure that the large-scale showed that a RCM with spectral nudging improved background flow of TCs is properly captured by the the interannual variability of hurricane occurrences by Received 2014-10-20; Revised 2015-08-11; Accepted 2015-10-15 Foundation item: Nature Science Foundation of China (41475046, 41130964); State Key Program of China (2012CB417201) Biography: LI Jing, Assistant Engineer, Shanghai Central Meteorological Observatory, primarily undertaking research on tropical cyclogenesis. Corresponding author: FANG Juan, e-mail: [email protected] 312 Journal of Tropical Meteorology Vol.21 decreasing the number of simulated hurricanes in typhoon in the northwest Pacific in the 2005 typhoon inactive seasons. In Feser and von Storch[19], it is season. In the wake of Saola, there were several found that regional models with spectral nudging can positive vorticity centers. Since the vorticity was improve simulated typhoon developments from global rather weak, no closed cyclonic circulations formed in forcing reanalysis data by giving lower core pressure the wake of Saola. About one day later, the vorticity and higher wind speeds and more realistic strengthened and a closed cyclonic circulation precipitation patterns. In the experiments to evaluate appeared in the wake of Saola. The cyclonic simulated typhoon sensitivities to spectral nudging, circulation enlarged and intensified gradually in the Cha et al.[20] adopted the intermittent spectral nudging next two days and finally developed into a tropical to avoid the suppression that the intensities of depression by 0600 UTC 25 September 2005 simulated typhoons decrease as the spectral nudging (Fig.1b-1d). effect increases while the tracks of simulated Li and Fu[24] argued that TC could induce the typhoons are improved. Recently, Feser and Rossby wave, which might lead to tropical Barcikowska[21] indicated that spectral nudging has cyclogenesis in the wake of the preceding TC via mostly positive effects on typhoon formation, location energy dispersion. To investigate how well the and general circulation patterns in the generation tropical cyclogenesis mechanism proposed by Li et al. areas of TCs. In addition to being used in the (2006) worked in the formation of Longwang, the numerical simulations on the climatological activity signature of Rossby wave was extracted from the of TCs, the spectral nudging method can also be 850-hPa wind fields in the period from 22 to 25 adopted in TC case studies. In Feser and von September 2005 via a 3- to 8-day bandpass filtering Storch[23], the performance of spectral nudging in the following Li and Fu[24]. In the early developing stage construction of a very strong and large typhoon, of Saola, the 3- to 8-day filtered 850-hPa wind fields Winnie (1997), is evaluated. The results indicate that did not exhibit any Rossby wave signals in the wake the spectrum nudging can considerably improve the of Saola because the TC was very weak. From Fig.2a simulation of the motion and evolution of Winnie. we can see that a weak anticyclonic circulation However, due to the relative coarse horizontal grid appeared in the southeast side of Saola at 0600 UTC resolution, i.e., 18 km, the simulation conducted by 22 September. In the following 24 hours, a Feser and von Storch[23] cannot capture the details of northeasterly was considerably enhanced in the east of Winnie evolution and is not good enough for the the anticyclonic circulation and a closed cyclonic studies on the meso-scale processes occurring in the circulation developed gradually in the southeast side evolution of Winnie. of the anticyclonic circulation (Fig.2b and 2c). The In the northwest Pacific, two or more TCs may cyclonic circulation intensified gradually and finally coexist for several days. Under such a circumstance, developed into a tropical depression, i.e., Longwang, successful simulation on TCs becomes difficult. With at 0600 UTC 25 September (Fig.2d). On after the the intention to evaluate the performance of spectral other, the cyclonic, anticyclonic and cyclonic nudging in the numerical simulation of TCs that circulations appeared in the wake of Saola, clearly evolve in an environment with complicated indicating that a Rossby wave train was activated by circulations, a numerical high-resolution simulation of Saola. Obviously, the Rossby wave played an typhoon Longwang (2005) is conducted in this work. important role in the formation of Longwang via The remainder of this paper is organized as follows: offering a low-level cyclonic circulation to trigger the Section 2 presents an overview of the evolution of wind-induced surface heat exchange (WISHE). Typhoon Longwang. Section 3 describes the experiment and methodology. The performance of the spectral nudging in simulation of Longwang is investigated in section 4 and concluding remarks are given in section 5. 2 OVERVIEW ON THE EVOLUTION OF LONGWANG 2.1 Formation of Longwang Figure 1 displays the 850-hPa horizontal streamlines and relative vorticity derived from the NCEP/NCAR reanalysis data in the northwest Pacific during 22-25 September 2005. At 0600 UTC 22 September 2005, a TC, coded Saola, was active at around 25°N, 144°E (Fig.1a), which is the eighteenth 312 No.4 LI Jing (李 静), TANG Jian-ping (汤剑平), et al. 313 Figure 1. The 850-hPa horizontal streamlines and relative vorticity (colored every 2×10-5 s-1) over the tropical Pacific at (a) 0600 UTC 22, (b) 0600 UTC 23, (c) 0600 UTC 24 and (d) 0600 UTC 25 September 2005. The letters “S” and “L” denote typhoon Saola and Longwang, respectively. Figure 2. The 3- to 8-day bandpass-filtered 850-hPa wind fields and 850-hPa wind speed (shaded) at (a) 0600 UTC 22, (b) 0600 313 314 Journal of Tropical Meteorology Vol.21 UTC 23, (c) 0600 UTC 24 and (d) 0600 UTC 25 September 2005. The letters “S” and “L” denote Saola and Longwang, respectively. gradually. 2.2 Intensification of Longwang 2.3 Movement of Longwang Figure 3a displays the time evolution of the minimum sea-level pressure and maximum wind Figure 4a displays the track of Longwang.