ENSO teleconnections to the Indian summer monsoon under changing climate

Roy, Indrani; Tedeschi, Renata G.; Collins, Matthew

doi:10.1002/joc.5999

Cited by 44 publications

(37 citation statements)

References 59 publications

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“…It proved that tropical convection activities in the ocean were more active with sufficiently big variations. (Roxana and Wajsowicz, 2005, Roy et al, 2019, Siswanto et al, 2015.…”

Section: Resultsmentioning

confidence: 99%

The Atmospheric Dynamic Extreme of Tropical as an Analysis of Climate Change in Indonesia

Gernowo¹,

Widodo²,

Widodo³

2020

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Variability of rainfall, especially in tropical regions like Indonesia has been an important issue that needs to be studied to find out the effect caused. The phenomenon of the occurrence of a flood is more indicated by the heavy rains fall in the region of Jakarta for a few days. This research aims to analyze the characteristics of heavy rain through the approach of atmospheric dynamic anomaly using the WRF model. The method used in this research was Weather Research and Forecasting (WRF) using the scheme of Kain Fritsch's cumulus parameter. The method of this research was applied to the occurrence of the most extreme rainfall of the data from 2007 and 2015 in Jakarta. The analysis result shows that the extreme rainfall was caused by the growth of rail clouds type of Cumulonimbus. The analysis of atmospheric dynamics and the numeric calculation shows that there has been a growth of extreme rain clouds above Jakarta skies indicating the occurrence of climate change.

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“…It proved that tropical convection activities in the ocean were more active with sufficiently big variations. (Roxana and Wajsowicz, 2005, Roy et al, 2019, Siswanto et al, 2015.…”

Section: Resultsmentioning

confidence: 99%

The Atmospheric Dynamic Extreme of Tropical as an Analysis of Climate Change in Indonesia

Gernowo¹,

Widodo²,

Widodo³

2020

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“…The intensity of the rain is quite larges, generally, the sky is cloudy so that the resulting rain has a lower intensity than the heavy rain in general. The problems mentioned above indicate the influence of climate changes [19,20,21 ].…”

Section: Discussionmentioning

confidence: 99%

Tropical convective cloud growth models for hydrometeorological disaster mitigation in Indonesia

Gernowo¹,

Sasongko²

2021

Global J. Eng. Tech. Adv.

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Heavy rain in Semarang on 1 January 2020 caused flooding. The existence of heavy rain cannot be separated from the dynamics of weather parameters which are closely related to the convection process and cloud formation. In this paper research has been conducted using Weather Research and Forecasting (WRF), to analyze the growth patterns of convective clouds as an effort to mitigate the initial events of extreme rainfall disasters. Several weather parameters that support cloud growth are very significant, namely the parameter values that support the convection process to form convective clouds (Cumulonimbus). The results of the model show that there has been extreme rainfall which can be used as initial mitigation of hydrometeorological disasters.

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“…However, the rainfall is quite heavy, ranging from 60 -90 mm above sea level in the South Sulawesi region. The rainfall value from the output of this model is generally quite good, but due to incorrect numerical calculations, it cannot represent the incidence of high-intensity rain in the study area [20], [21].…”

Section: Figurementioning

confidence: 99%

The FLOOD DISASTER MANAGEMENT BASED ON EXTREME TROPICAL RAINFALL IN DECADES OF CLIMATE CHANGE IN INDONESIA

Gernowo

Nurwidyanto

2021

Int. J. Eng. Sci. Tech

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Indonesia's climate classification is divided into three rainfall patterns. The three patterns are Seasonal Pattern, Equatorial Pattern, and Local Pattern (Anti Seasonal). Flood Disaster Management based on extreme rainfall is very much needed, as the analysis was taken as a case study on January 22, 2019, a flood disaster occurred in South Sulawesi. The flood event indicated that there was heavy rain that flushed the South Sulawesi region for several days, which is classified as monsoonal rainfall. This study aims to analyze the characteristics of heavy rain with atmospheric anomalies during these events by calculating rainfall intensity to determine future flooding patterns and using the WRF model to analyze cloud distribution patterns and rainfall distribution. The method used in this research is Mononobe and Weather Research and Forecasting (WRF) using the Fabric Fritsch cumulus parameterization scheme. The analysis showed that the intensity and duration of rainfall of 2, 5 10, 25, and 50 years were obtained from the Mononobe model, as well as from the atmospheric dynamics data, there was rain for 3 consecutive days caused by cumulonimbus type rain clouds. Based on the WRF model, it can be seen that the CAPE value before the onset of rain is quite significant, thus supporting the growth of rain clouds as an important variable in flood disaster management in the South Sulawesi region in particular and the tropical zone in. general. Motivation/Background: Indonesia is included in a tropical climate where extreme rainfall is important to analyze. The majority of flood disasters in the tropics occur in decades of extreme atmosphere, this is an important reason in this study. Method: The Mononobe method can be used to calculate the distribution pattern of rainfall intensity throughout 2, 5, 10, 25, and 50 years, as a prediction of future rainfall intensity patterns. The WRF model is used to calculate the cloud distribution pattern and the spatial distribution of rainfall. Results: The results of this study obtained patterns of rainfall intensity and duration of 2, 5, 10, 25, and 50 years from the Mononobe model, as well as from the atmospheric dynamics data, there was rain for 3 consecutive days caused by cumulonimbus rain clouds. The pattern of cloud distribution and rainfall at the time of the incident at the WRF model research location. Conclusions: Analysis of the distribution pattern of rainfall intensity for the periods of 2, 5, 10, 25, and 50 years, as well as the distribution pattern of clouds and rainfall, is very necessary for disaster identification, especially hydrometeorology. This is very important as a variable in flood disaster management, especially in the tropics

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ENSO teleconnections to the Indian summer monsoon under changing climate

Cited by 44 publications

References 59 publications

The Atmospheric Dynamic Extreme of Tropical as an Analysis of Climate Change in Indonesia

The Atmospheric Dynamic Extreme of Tropical as an Analysis of Climate Change in Indonesia

Tropical convective cloud growth models for hydrometeorological disaster mitigation in Indonesia

The FLOOD DISASTER MANAGEMENT BASED ON EXTREME TROPICAL RAINFALL IN DECADES OF CLIMATE CHANGE IN INDONESIA

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