SIMULATION OF 1998 MONSOON ONSET OVER SOUTHEAST ASIA WITH A REGIONAL CLIMATE MODEL KOJI DAIRAKU Atmospheric Environment Division, National Institute for Environmental Studies, 16-2 Onogawa Tsukuba, Ibaraki 305-0053, Japan The first transition of the Asian Summer Monsoon (ASM) over Southeast Asia in 1998 was investigated using a state-of-the-art regional climate model (RAMS: Regional Atmospheric Modeling System). Numerical experiments were conducted for 2 months from 1st Apr to the end of May. One is control experiment (CTL) and another is the one which removed topography within the area (NOMNT). Observed ASM transition was fairly well captured in the CTL experiment. On the other hand, the abrupt increase during the middle of May was not reproduced in the NOMNT experiment. In the view point of the strength of monsoon onset, land-sea heat contrast is considered as an important factor. By comparing two experiments with and without topography, topography helped to induce the positive feedback between soil moisture and precipitation. On the other hand, it seems to be negative feedback in the NOMNT experiment during the period of first transition. Though, it needs further consideration, it seems reasonable to suppose that orographically induced precipitation contributes significantly to the monsoon onset and its hydrological feedback. INTRODUCTION The first transition of the Asian Summer Monsoon (ASM) is a matter of socially and economically importance. Fasullo and Webster (2003 [1]) show the association between total June-July-August-September rainfall and both onset and withdrawal using a new criterion of monsoon. It has a critical influence on the people reside in the entire region of Southeast Asia. Thereby the degree of predictability of monsoon constitutes a fundamental concern in this region (Charny and Shukla, 1981 [2]). The ASM onset begins earlier in the inland region of Indochina (Thailand) in late April to early May than in the coastal region. Around the middle of May, the mature ASM circulation begins to establish and the land-locked convection over southern Thailand and northern Borneo abruptly advances northward and expands over the South China Sea (SCS) (Lau et al, 1998 [3]; Matsumoto, 1997[4]). Land-sea heat contrast has been shown to be linked with the strength of the ASM. Meehl (1994 [5]), Goswami (1998 [6]), and others have noted that land surface conditions have important factors to contribute that contrast. They investigated the external conditions and internal feedbacks using atmospheric general circulation models (GCM) and indicated the importance of internal feedbacks (involving soil moisture). In the Mae Chaem watershed located at the northeastern part of Thailand, strong altituderelated rainfall enhancement was observed (Dairaku et al., 2000 [7], 2004 [8]). It might 1 2 be possible that the topography has some role to produce the land-sea heat contrast as one of the external conditions and to affect the internal feedbacks. In this paper, the evolution of sub-continental-scale hydrologic processes during the first transition period of the Asian Summer Monsoon in April to May 1998, which is a part of the Global Energy and Water Cycle Experiment (GEWEX), Asian Monsoon Experiment Intensive Observing Period (GAME-IOP), was investigated using a state-ofthe-art atmospheric numerical model. MODEL AND EXPERIMENTS In 1998, intensive field observations were conducted as one of the GAME research activities. In the year, the global climate system experienced a transition from the strongest warm anomalies in sea surface temperatures existed in the eastern equatorial Pacific Ocean in 1997/98. That is, global circulations were under the influence of the warm (El Niño) phase of the ENSO Cycle (Anyamba et al., 2002 [9]). From the Global Precipitation dataset, 1998 is a relatively dry year, though it might not be a general relationship. The influence of the global circulation associated with ENSO on the mesoscale rainfall characteristics in this study region is not identified clearly. A theree-dimentional, nonhydrostatic compressible dynamic-equations model (RAMS: Regional Atmospheric Modeling System) developed by Colorado State University (Pielke et al., 1992 [10]) was used in this study. The Kuo convective parameterization was used to simulate cloud activity. The two-stream radiation scheme (Harrington et al., 1999 [11]) was used as a radiation parameterization. Soil and Figure 1. Simulated region. Solid rectangle indicates the area in which simulated results were averaged 3 vegetation model is LEAF-2 (Walko et al., 2000 [12]). Topography data with a 30” longitude resolution (GTOPO30) and land-use data that is estimated from satellite data (AVHRR) by USGS were incorporated in this simulation. The OISST Ver.2 (Reynolds et al., 2002 [13]) was used and it was updated weekly during the simulated period. The GAME-reanalysis data was utilized as the initial and lateral boundary conditions. Two numerical experiments were conducted for 2 months from 1 st Apr to the end of May. One is control run (CTL) and another is the run which removed topography within the area (NOMNT). Horizontal grid space is 20km with 200 x 160 grid points (4000 x 3200 km) (Figure 1). Vertical grids have 35 grid points (~23.4km). Vertical grid spaces are stretched from 100 to 1000m. RESULTS The transitions of simulated surface precipitation (CTL and NOMNT) were compared with observations, pentad CPC Merged Analysis of Precipitation (CMAP; Xie and Arkin, 1997 [14]), and daily Global Precipitation Climatology Project (GPCP; Huffman et al., 1997 [15])). All of them were averaged over the 10 by 15 degree area located at 10° N20º N by 95º E-100º E (the rectangle area indicated in Figure 1). Because of the different time interval of each dataset, some differences among the observations (CMAP and GPCP) can be found. Nevertheless, it can be said that relatively large rainfall event were observed in the middle of April, and precipitation increased abruptly during the middle of May. This transition was fairly well captured in the CTL experiment. On the other hand, the abrupt increase during the middle of May was not reproduced in the NOMNT experiment. 15 m m /day 12 O bs(G P C P ) O bs(C M A P ) C TL NO M NT 9 6 3 0 4/1 4/11 4/21 5/1 5/11 5/21 Figure 2. The transition of observed and simulated precipitation in 1998. Observed daily precipitation of GPCP is solid line. Observed pentad precipitation of CMAP is dotted line. 4 Standard simulated precipitation (CTL) is dash-dot line with circle. Simulated precipitation of NOMNT experiment is dash-dot-dot line with triangle. 90 14 60 12 30 10 0 8 4/1 120 W /m ^2 g/K g 16 S ensible H eat Latent H eat S oilM oisture 4/11 4/21 5/1 5/11 5/21 16 S ensible H eat Latent H eat S oilM oisture 90 14 60 12 30 10 0 g/K g W /m ^2 120 8 4/1 4/11 4/21 5/1 5/11 5/21 Figure 3. The transition of simulated sensible heat flux, latent heat flux, and soil moisture. Sensible heat flux is solid line. Latent heat flux is dashed line. Soil moisture is dotted line. Upper panel shows the CTL experiment. Lower panel shows the NOMNT experiment. 5 Figure 3 shows the transition of simulated sensible heat, latent heat, and soil moisture. Upper panel in figure 3 indicates the abrupt decrease of sensible heat and the increase of soil moisture. It coincides with the increased precipitation in that period (Figure 2). As soil was getting saturated, latent heat flux moderately increased. Latent heat flux associated with the abrupt transition can be found obscurely. On the other hand, lower panel in Figure 3 indicates the gradual decrease of sensible and latent heat and moderate increase of soil moisture associated with the weak precipitation (Figure 2). In the view point of the strength of monsoon onset, land-sea heat contrast is considered as an important factor. Soil moisture feedback could be positive by increasing water vapor in the atmosphere and also be negative by cooling land surface through enhanced evapotranspiration (e.g., Meehl, 1994 [5]). By comparing two experiments with and without topography, topography helped to induce soil moisture feedback to be positive. On the other hand, it seems to be negative feedback in the NOMNT experiment during the period of first transition. Though, it needs further consideration, it seems reasonable to suppose that orographically induced precipitation contributes significantly to the monsoon onset and its hydrological feedback. ACKNOWLEDGMENTS I gratefully acknowledge helpful discussions with Prof. Jun Matsumoto. GAME reanalysis project conducted by Meteorological Research Institute, Japan Meteorological Agency and Earth Observation Research Center/National Space Development Agency of Japan. REFERENCES [1] Fasullo J. and Webster P.J., “A Hydrological Definition of Indian Monsoon Onset and Withdrawal”, J. Climate, Vol.16, (2003), pp 3200-3211. [2] Charny J.G. and Shukla J., “Predictability of monsoons. In Monsoon Dynamics”, Edited by Lighthill J. and Pearce R.P. Cambridge University Press, Cambridge, UK., (1981), pp 99-109. [3] Lau K.-M. et al. “Hydrologic Processes Associated with the First Transition of the Asian Summer Monsoon: A Pilot Satellite Study”, Bull. Amer. Meteor. Soc., Vol.79, (1998), pp 1871-1882. [4] Matsumoto, J., “Seasonal Transition of Summer Rainy Season over Indochina and Adjacent Monsoon Region”, Adv. Atmos. Sci., Vol.14, (1997), pp 231-245. 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