ANALISIS KONDISI ATMOSFER MCC (MESOSCALE CONVECTIVE COMPLEX) DI JAKARTA (STUDI KASUS 24 SEPTEMBER 2016)
Keywords:
MCC, mesoscale phenomenomAbstract
Mesoscale Convective Complex (MCC) is a meso-scale convective cloud clusters. On 24 September 2016, MCC formed in Jakarta with a life span of 09.00 until 12.00 UTC. The MCC phenomenon produced continuous and long lasting rain. This study aimed to analyze the atmospheric conditions when the MCC in Jakarta on 24 September 2016. By using methods such as atmospheric dynamical analysis by using ERA Interim reanalysis data in the parameters of vorticity, divergence, and vertical humidity. Then streamlined analysis, analysis of meteorological phenomena, convective parameter analysis using sounding data of Cengkareng Meteorological Station, and Himawari satellite imagery analysis. From streamline analysis, there was low pressure area in Indian Ocean south of Java. Based on the analysis conducted, it obtained 500 mb layer vorticity at 06.00 UTC had negative value indicating a cyclonic circulation in the middle troposphere, the 850 mb layer divergence at 06.00 UTC had negative value indicating a convergence flow in the lower troposphere. Vertical air humidity at 06.00 UTC showed high value that ranges from 80-100%. On 24 September 2016 was observed MJO phase 5, which indicated that Indonesia region got the supply of warm and humid moisture, combined to the negative value of Dipole Mode Index indicating a strong convergence in the Indian Ocean west of Indonesia occurred because of warmer sea surface temperature. The convective parameters namely LI, KI, SWEAT and CAPE showed the numbers indicate convective activity due to the unstable state of the atmosphere. All these conditions favorable to the formation of mesoscale convective systems such as MCC, which can be observed on satellite imagery afrom 09.00 to 12.00 UTC showed a cluster of Cumulonimbus cloud with peak temperatures of -80 0C and a diameter of about 200 km, mixed with other clouds types. Thus, the MCC classified in beta categories MCS.
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