KAJIAN PENGARUH MESOSCALE CONVECTIVE COMPLEX DI PULAU JAWA TERHADAP CURAH HUJAN SAAT KEJADIAN BANJIR DI KENDAL PADA 26-27 JANUARI 2019

Muhammad Ikko Safrilda Maulana, Nur Irfan Wicaksono, Yosafat Donni Haryanto
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Abstract

Mesoscale Convective Complex (MCC) is part of the Mesoscale Convective System (MCS) that its characteristics can be observed by the Himawari-8 satellite imagery infrared channel. In this study, the effect of MCC is calculated based on the estimated rainfall value at the interior cold cloud and cloud shield on the amount of observed rainfall data by applying the Convective Stratiform Technique (CST) and Modified Convective Stratiform Technique (MCST) methods. CST is a method of estimating rainfall by separating convective and stratiform cloud groups, while MCST is a modification of CST in terms of rainfall intensity and average pixel coverage on its area. Both methods were verified using rainfall observation data in Kendal with the closest observation station to the interior cold cloud and cloud shield.The purpose of this study was to determine the effect of MCC in Java on high rainfall during the flood. The results shows that the rainfall value is almost close to observation rainfall data worth 84,989 mm using CST. Although the estimated rainfall value in both methods tended to underestimate, the results of the verification of the effect of MCC on rainfall in Kendal shows moderate-strong relation in the CST with correlation values ranging from 0,30 to 0,61. Meanwhile, the MCST ranges from 0,30 to 0,59 which indicates weak-moderate category. CST error values is also smaller than MCST’s with values ranging 3,17 to 8,63. So that the CST method is better used to estimate rainfall at the interior cold cloud and the shield cloud.
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中尺度对流复合体(Mesoscale Convective Complex, MCC)是中尺度对流系统(Mesoscale Convective System, MCS)的一部分,其特征可以通过himawai -8卫星影像红外通道观测到。本研究采用对流层技术(CST)和改进对流层技术(MCST)方法,基于内部冷云和云屏蔽处的预估降雨量,计算MCC对观测降水资料量的影响。CST是一种通过分离对流云团和层状云团来估算降雨量的方法,而MCST是CST在降雨强度和平均像元覆盖率方面的改进。利用肯德尔离内部冷云和云屏蔽最近的观测站降水观测资料对两种方法进行了验证。本研究的目的是确定爪哇MCC对洪水期间高降雨量的影响。结果表明,利用CST计算得到的降雨值与84,989 mm的观测数据基本接近。虽然两种方法估计的降雨量都有低估的趋势,但验证MCC对肯德尔降雨量影响的结果显示,CST与CST的相关性为中强,相关值在0,30 ~ 0,61之间。MCST在0.30 ~ 0.59之间,为弱-中等。CST的误差值也比MCST小,误差值在3,17 ~ 8,63之间。因此,CST方法可以较好地用于估算内部冷云和屏蔽云的降雨量。
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