Identification of Mesoscale Convective Complex (MCC) phenomenon with image of Himawari 8 Satellite and WRF ARW Model on Bangka Island (Case Study: 7-8 February 2016)

Rinaldy, Nanda; Saragih, I J A; Putra, Agie Wandala; Nugraheni, Imma Redha; Yonas, Banu Wijaya

doi:10.1088/1755-1315/98/1/012002

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Indonesia merupakan negara yang terletak diwilayah ekuator dimana berpotensi memiliki dampak besar terhadap kondisi fisik atmosfer saat terjadi cuaca ekstrem seperti Mesoscale Convective Complex (MCC) (Rinaldy et al, 2017). MCC merupakan fenomena yang pertama kali ditemukan oleh (Maddox, 1980) dimana fenomena ini dicirikan dengan adanya perisai awan yang berbentuk quasi circular (hampir lingkaran) dengan eksentrisitas ≥ 0,7 dengan luas area selimut awan ≥ 100.000 km² , luas area inti awan mencakup ≥ 50.000 km² serta suhu puncak awan IR1 ≤ -52 ℃.…”

Section: Pendahuluanunclassified

Identifikasi Fenomena Mesoscale Convective System (MCC) di Selat Karimata

Diniyati

Haryanto

2021

saintek

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Abstract—Indonesia located in the equatorial region which has potential to have a major impact on atmospheric physical conditions during extreme weather events such as the Mesoscale Convective Complex (MCC). MCC is a phenomenon that was first discovered by (Maddox, 1980) where this phenomenon is characterized by the presence of a quasi-circular (almost circular) cloud shield with an eccentricity of 0.7 with a cloud cover area of 100,000 km², the cloud core area covers 50,000 km² and cloud top temperature IR1 -52 ℃. These cloud conditions last for a minimum of 6 hours and cause severe weather and extreme rain. This study aims to identify the MCC phenomenon in the Karimata Strait on 19-20 September 2020 which caused heavy rains in parts of the West coast of Kalimantan and Bangka Island using Himawari-8 Satellite imagery data and the MATLAB application. The results showed that on September 19, MCC was identified at 09.00-19.00 UTC, then on September 20, MCC was identified at 16.00-23.00 UTC. At the time of the MCC event, Bangka and Pontianak regions experienced extreme rains recorded on AWS Digi Stamet Pontianak with rainfall reaching 43.4 mm/hour and ARG Lubuk Besar Bangka Tengah with rainfall reaching 16.8 mm/hour. Keywords: mesoscale convective complex (MCC), himawari-8, MATLAB Abstrak—Indonesia merupakan negara yang terletak diwilayah ekuator dimana berpotensi memiliki dampak besar terhadap kondisi fisik atmosfer saat terjadi cuaca ekstrem seperti Mesoscale Convective Complex (MCC). MCC merupakan fenomena yang pertama kali ditemukan oleh (Maddox, 1980) dimana fenomena ini dicirikan dengan adanya perisai awan yang berbentuk quasi circular (hampir lingkaran) dengan eksentrisitas ≥ 0,7 dengan luas area selimut awan ≥ 100.000 km² , luas area inti awan mencakup ≥ 50.000 km² serta suhu puncak awan IR1 ≤ -52 ℃. Kondisi awan tersebut bertahan minimun selama 6 jam dan menyebabkan cuaca buruk dan hujan ekstrem. Penelitian ini bertujuan untuk mengidentifikasi fenomena MCC di Selat Karimata pada Tanggal 19-20 September 2020 yang menyebabkan hujan lebat di sebagian wilayah Kalimantan bagian pesisir Barat dan Pulau Bangka menggunakan data citra Satelit Himawari-8 dan aplikasi MATLAB. Hasil penelitian menunjukkan pada tanggal 19 September, MCC teridentifikasi pada pukul 09.00-19.00 UTC selanjutnya tanggal 20 September 2020 MCC teridentifikasi pada pukul 16.00-23.00 UTC. Pada saat peristiwa MCC, wilayah Bangka dan Pontianak mengalami hujan ekstrem yang tercatat pada AWS Digi Stasiun Meteorologi Pontianak dengan curah hujan mencapai 43,4 mm/jam dan ARG Lubuk Besar Bangka Tengah dengan curah hujan mencapai 16,8 mm/jam. Kata kunci: mesoscale convective complex (MCC), himawari-8, MATLAB

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Section: Pendahuluanunclassified

Identifikasi Fenomena Mesoscale Convective System (MCC) di Selat Karimata

Diniyati

Haryanto

2021

saintek

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“…Os Complexos Convectivos de Mesoescala (CCM) caracterizam-se como um conjunto de nuvens cumulonimbus (Cb) frias e espessas que apresentam a forma circular e crescimento vertical explosivo num intervalo de tempo entre 6 a 12 horas e associam-se, frequentemente, com eventos intensos de precipitação que abrange grandes áreas, acompanhados de fortes rajadas de vento (Maddox, 1980;Yulihastin et al, 2017;Rinaldy et al, 2017). Sua formação está relacionada ao ar frio e seco com ventos fortes de oeste na média troposfera e advecção de ar quente e úmido na baixa troposfera.…”

Section: Introductionunclassified

Diagnóstico de um Complexo Convectivo de Mesoescala Observado no Semiárido do Nordeste Brasileiro (Mesoscale Convective Complex diagnosis observed in Semi-arid of Northeast Brazil)

Lyra

Bonfim

Fedorova

et al. 2019

Rev. Bras. Geog. Fis.

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Este estudo apresenta uma completa análise do ciclo de vida, da trajetória e das condições sinóticas e termodinâmicas associadas à atuação de um Complexo Convectivo de Mesoescala (CCM) observado no dia 02 de março de 2015 sobre o semiárido brasileiro no Nordeste do Brasil (NEB). O CCM foi identificado através da análise das imagens do satélite GOES-13 nos canais infravermelho e vapor d’água, com intervalos de 1 hora entre os dias 01 e 02 de Março de 2015. Dados de reanálise II do National Centers for Environmental (NCEP) foram usados em conjunto com o software GrADS para a confecção dos campos meteorológicos. Os dados de trovoada foram obtidos através do satélite Tropical Rainfall Measuring Mission (TRMM). O estudo termodinâmico foi baseado na análise dos perfis verticais de temperatura e umidade previstos com até 48h de antecedência. O CCM em estudo apresentou um ciclo de vida de 7 horas, englobando uma área de cerca de 110.000 km² ocasionando aumento na precipitação e eventos de trovoadas para a região. A Zona de Convergência Intertropical (ZCIT) se mostrou o principal sistema associado à formação do CCM, além da contribuição dos ventos alísios de sudeste para o transporte de umidade vindo do Oceano Atlântico. As condições termodinâmicas da atmosfera para o dia do evento, como temperatura e umidade do ar, mostraram-se favoráveis ao desenvolvimento do CCM observado. A previsão foi realizada através das trajetórias das parcelas de ar utilizando o modelo HYSPLIT nos 10 níveis padrões. Os perfis previstos com 24 horas de antecedência foram considerados satisfatórios. A B S T R A C T This study presents a complete analysis of the life cycle, trajectory, synoptycal and thermodynamic conditions associated with a Mesoscale Convective Complex (MCC). It was observed on 02 of March 2015 on semi-arid region in the Brazilian Northeast (BNE). GOES-13 satellite infrared (IR) and Water Vapor (WV) images were used in the MCC identification, with intervals of 1 hour from 01 to 02 of March 2015. Reanalysis data II of the National Center for Environmental (NCEP) were used together with the GrADS software for the construction of meteorological fields. Thunderstorm data were provided by the Tropical Rainfall Measuring Mission satellite (TRMM). Thermodynamic study was based on the analysis of the temperature and humidity vertical profiles provided for up to 48 hours antecedence. The MCC under study presented a life cycle of 7 hours, encompassing an area of about 110,000 km², causing an increase in precipitation and thunderstorm events for the region. The Intertropical Convergence Zone (ITCZ) was the main system associated with the formation of the MCC, in addition to the contribution of the southeast trade winds to the transport of moisture from the Atlantic Ocean. Thermodynamic conditions of the atmosphere for the event day, such as air temperature and humidity, were favorable to the development of the observed MCC. The prediction was performed through the air trajectories parcels using the HYSPLIT model in the 10 standard levels. Vertical profiles with 24 hours antecedence were considered satisfactory.Keywords: Precipitation, Synoptic Scales, Thermodynamic Conditions of the Atmosphere.

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Utilization of Red-Green-Blue (RGB) modification composite for nighttime convective cloud monitoring over North Sumatra region

Saragih

Tarigan

Sinambela

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Located between the Indian Ocean and the Malacca Strait, also the presence of the Bukit Barisan Mountains cause high convective activity in the North Sumatra region. The Himawari-8 satellite has 16 atmospheric observation channels that allow for observations of the convective system growth phase. The Red-Green-Blue (RGB) composite method is used to display a variety of satellite image composite information. The nocturnal convective system that often forms in the coastal areas of Sumatra causes heavy rains. A nocturnal convective system observation method is needed to publish early warning information on extreme weather. This research was conducted to observe the nocturnal convective system during heavy rain events in the North Sumatra region using a modification of RGB composite. This research used the Himawari-8 satellite data, Coloumn Max (CMAX) products of Medan weather radar data, and Global Satellite Mapping of Precipitation (GSMaP) rainfall estimation data. Comparison of RGB modified products with Night Microphysics RGB products and CMAX weather radar products, as well as time-series rainfall analysis. The results showed that the RGB modification product could capture the beginning of the convective system's growth, development, and spatial movement. The convective cloud distribution pattern corresponds to the area of heavy rain. There is a slight difference in cloud growth area between the satellite and radar products indicated the parallax error from the satellite image.

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Identification of Mesoscale Convective Complex (MCC) phenomenon with image of Himawari 8 Satellite and WRF ARW Model on Bangka Island (Case Study: 7-8 February 2016)

Cited by 4 publications

References 2 publications

Identifikasi Fenomena Mesoscale Convective System (MCC) di Selat Karimata

Identifikasi Fenomena Mesoscale Convective System (MCC) di Selat Karimata

Diagnóstico de um Complexo Convectivo de Mesoescala Observado no Semiárido do Nordeste Brasileiro (Mesoscale Convective Complex diagnosis observed in Semi-arid of Northeast Brazil)

Utilization of Red-Green-Blue (RGB) modification composite for nighttime convective cloud monitoring over North Sumatra region

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