Extreme Rainfall Events when Active Madden-Julian Oscillation Entering The Western Region of Indonesia (Case Study : Flood Events in Padang and Purworejo on June 2016) (original) (raw)

Dominant Factors of Jakarta’s Three Largest Floods

Jurnal Hidrosfir Indonesia, 2011

In year 2002, 2007 and 2008 Jakarta experienced heaviest flood in early February from rain that precipitate in several days ahead. Those rainfalls take place in early morning for few consecutive days. The extreme early morning rainfall occurs due to three dominant phenomena the Madden Julian oscillation wet phase, the cold surge and a vortex in the southwest of Java. The cold surge from north compressed the air mass over the north of Jakarta Bay, picked up as much as water vapor over it and brings to the bay. Especially at night during intense land breeze, south ward movement of compressed and moist air collided frontally with the land breeze and caused strong uplifting at the coast. The latter phenomenon created strong convection at the Jakarta metropolitan areas at early morning and caused extreme rainfall events. Those daily rainfall rate are almost and exceed the monthly rainfall values. Analises of data from satellite observation, rain gauge, wind and radar imagery prove the mechanism of extreme weather in early morning that cause heavy flood over Jakarta. The incoming of those three phenomena could be predicted in advance with quite a certainty. The MJO is a feature that has 50 days oscillation so that MJO wet phase could be predicted in advance up to 2 weeks. The cold surge that comes from Siberia has index of sudden drop of pressure in Hongkong before propagate to Southeast Asia, thus could be predicted in advance about one week ahead. Lastly the vortex development in southwest of Java could be predicted up to 1 days in advanced. Those information on the three major or dominant weather feature will be a good early warning for heavy flood of Jakarta especially in early February.

The Impact of MJO-C and MJO-B Upon Sea Surface Temperature and Rainfall in Indonesia

Omni-Akuatika

Madden Julian Oscillation (MJO) based on its propagation through the maritime continent can be divided into two types, namely MJO-C (Crossing) and MJO-B (Blocked) as evidenced by the spatial diagram of Hovmöller OLR anomaly. This study aimed to determine the effect of MJO variations, namely MJO-C and MJO-B on sea surface temperature and rainfall in the Indonesian region in the period of 1998 to 2015. The data used in this study are reanalysis models including sea surface temperature and rainfall with composite events (one month before propagation, during propagation, and one month after propagation of MJO-C and MJO-B). The results show that when MJO-C and MJO-B are active, sea surface temperature and the amount of rainfall are increased, especially in equatorial Indonesia and the southern hemisphere. When compared, MJO-C has a more significant impact than MJO-B.Keywords: MJO, Sea Surface Temperature, Precipitation

Characteristics of the Extreme Rainfall over Indonesian Equatorial Region based on the Madden-Julian Oscillation Index Data Analysis

Journal of Physics: Conference Series

Indonesia Maritime Continent (IMC) is one the most important region at the equator which affected by many atmospheric phenomena, especially Madden-Julian Oscillation and Monsoon. Asian Winter Monsoon causes the increasing of rainfall in several places in Indonesia in December-January-February (DJF), and since MJO related to a propagation of convective cloud, somehow it affects the rainfall variability in equator, especially over Indonesia. Interaction of both phenomena simultaneously bring rainfall is increasing in Indonesia, especially in Western Part of Indonesia. Therefore, a research about the impact of MJO in rainfall especially in Bandung and other cities over Indonesia is important. This study aims to investigate impacts of MJO events on the rainfall variability in Bandung and other cities focusing when Asian Winter Monsoon (December-January-February/DJF) for period of DJF 2002/03-DJF 2012/13 passing over Indonesia. The results show that from 10 MJO events in period DJF 2002/03-DJF 2012/13, the event increased the rainfall continuously in phase 3, phase 4, and phase 5. In phase 3, the increasing happened in every station except Supadio in Pontianak with the total precipitation > 30 mm/day. The condition of rainfall in phase 4 fluctuates in every station, but with the dominant increasing in Equator. In phase 5, the decreasing of rainfall happened in North of the Equator and Equator, while in South of Equator, the rainfall in Cengkareng Station in Jakarta increased about 20% but decreased about-42% in Bandung Station.

The precursors of high rainfall intensity during June in Southern Central Java : A case study of flash floods 18 June, 2016 in Purworejo

MAUSAM, 2022

. High rainfall intensity in Indonesia, even if it happens during the dry season can cause floods and landslides that cause a lot of loss of property and life, as happened in Purworejo. Generally, the dry season such as June has a little rainfall, and even more, heavy rain is very rare. However, the disaster in Purworejo became an important experience in anticipating disasters by identifying the precursors of extreme rainfall. This research aims to obtain highintensity rain precursors in the south of Central Java, especially Purworejo. Identification is done using rainfall intensity classification and is related to atmospheric phenomena that affect Indonesian rainfall variability. The results show that if there is very heavy rainfall and evenly distributed, precursors, can be identified 3 days before the incident, such as a low outgoing long radiation (OLR) value of <150 Wm-2 . Moreover, in an analysis of the average 3 days before the incident, the value of the OLR anomaly in the Central Java region is between –60 to –20 Wm-2 .Meanwhile, the vertical humidity profile has a value of more than 80% up to a level of 500 Mb, as the temperature value of more than 30.2 °C in the Indian Ocean bordering the southern part of Java Island occurs three to four days before the extreme rain event in Purworejo Regency. This change occurs when the value of the Indian Dipole Mode is negative and the ENSO is neutral. Existing low air pressure in the northern part of Kalimantan and in the southern part of Java, which persists for a long time, can support very heavy rains in June in Purworejo. Especially if the wind speed decreases to less than 4 m/s and occurs in phases 3 and 4 of the MJO. The 20 mm/30-minute rainfall that occurs for 7 hours without stopping needs to be watched out for because it has the potential to cause flash floods in the sandy loam area of Purworejo.

Spatio‑Temporal Model of Extreme Rainfall Data in the Province of South Sulawesi for a Flood Early Warning System

Geomatics and Environmental Engineering, 2021

In this study, we model extreme rainfall to study the high rainfall events in the province of South Sulawesi, Indonesia. We investigated the effect of the El Nino South Oscillation (ENSO), Indian Ocean Dipole Mode (IOD), and Mad‐ den–Julian Oscillation (MJO) on extreme rainfall events. We also assume that events in a location are affected by events in other nearby locations. Using rain‐ fall data from the province of South Sulawesi, the results showed that extreme rainfall events are related to IOD and MJO.

The correlation between sea surface temperature and MJO incidence in Indonesian waters

IOP Conference Series: Earth and Environmental Science

Madden-Julian Oscillation (MJO) is a large-scale atmospheric phenomenon that crosses the equator within range of 15º North to 15º South and moves from West to East respectively. The MJO is closely related to weather anomalies (excess rainfall) that occur during the dry season in Indonesia and can make an unstable environment due to the sustainability of several staples plantation. This phenomenon is suspected to be related directly to the occurrence of sea surface temperature fluctuations in equatorial areas. This research aims to analyze the relation of sea surface temperature fluctuation in Indonesian waters with the MJO incidence, through the empirical method with statistical calculation, based on Sea Surface Temperature (SST) and Outgoing Longwave Radiation (OLR) which is representing the MJO incidence. The data of these two variables were obtained from ESRL NOAA, with a range of 35 years, from 1982 to 2016. With the hypothesis that the two data are directly correlated to each other, by using Bandpass filtering scheme, the filtering results then analyzed using simple linear regression method. It founded that the correlation between these two variables can reach up to 80.2%, and it means that the MJO incidence is directly correlated with SST in the Indonesian waters respectively.

Spatiotemporal Characteristics of Extreme Rainfall Events over Java Island, Indonesia

Extreme rainfall event is one of natural events frequently generating serious impact to many sectors. To date, its characteristic is expected being changing due global climate change. The study was aimed to identify the spatiotemporal characteristics of extreme rainfall events over Java Island, Indonesia by focusing analysis to East Java Province.

The Effect of Non-Seasonal Climate Variations on Extreme Rainfall Events in Early Rainy Season Onset in Southest West Java Province

Jurnal Penelitian Fisika dan Aplikasinya (JPFA), 2020

The region of Tasikmalaya, Garut, and Pangandaran (hereafter mentioned as Southeast West Java Province) experienced extreme precipitation that occurred on September 16, 2016, October 6, 2017, and November 5, 2018, which then followed by flood. The characteristics of these extreme rainfall events need to be communicated to the related disaster management agency and the local citizens as a part of understanding the risks and disaster mitigation. This paper aims to determine the relation between extreme rainfall and non-seasonal climate variations such as Madden Julian Oscillation (MJO), El Niño Southern Oscillation (ENSO), tropical storm, and local circulation that occur simultaneously. Atmosphere and ocean data, including daily rainfall, precipitable water, cloud satellite imagery, wind and sea surface temperature were used. Descriptive statistical analysis, atmospheric dynamics, and physical atmosphere were applied to characterize the event, spatially and temporally. The results sho...