Southwest monsoon onset dates over Malaysia and associated climatological characteristics

Chenoli, Sheeba Nettukandy; Jayakrishnan, P. R.; Samah, Azizan Abu; Hai, Ooi See; Mazuki, Muhammad Yunus Ahmad; Lim, Chai Heng

doi:10.1016/j.jastp.2018.06.017

Cited by 31 publications

(16 citation statements)

References 26 publications

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“…Due to the strong association of precipitation patterns in Peninsular Malaysia with the onsets, peaks and transitions through different monsoon regimes (e.g. Chang et al 2005;Tan et al 2015;Chenoli et al 2018), it is important to understand how well the GCMs can represent the monsoon circulation in different seasons, in addition to the associated precipitation. To evaluate the ability of the HighResMIP GCMs in simulating the large-scale environments associated with precipitation, four different reanalysis datasets are used as validation data to compare with the simulated large-scale fields from the HighResMIP GCMs.…”

Section: Reanalysis Datamentioning

confidence: 99%

Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution

et al. 2021

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This study investigates the ability of 20 model simulations which contributed to the CMIP6 HighResMIP to simulate precipitation in different monsoon seasons and extreme precipitation events over Peninsular Malaysia. The model experiments utilize common forcing but are run with different horizontal and vertical resolutions. The impact of resolution on the models’ abilities to simulate precipitation and associated environmental fields is assessed by comparing multi-model ensembles at different resolutions with three observed precipitation datasets and four climate reanalyses. Model simulations with relatively high horizontal and vertical resolution exhibit better performance in simulating the annual cycle of precipitation and extreme precipitation over Peninsular Malaysia and the coastal regions. Improvements associated with the increase in horizontal and vertical resolutions are also found in the statistical relationship between precipitation and monsoon intensity in different seasons. However, the increase in vertical resolution can lead to a reduction of annual mean precipitation compared to that from the models with low vertical resolutions, associated with an overestimation of moisture divergence and underestimation of lower-tropospheric vertical ascent in the different monsoon seasons. This limits any improvement in the simulation of precipitation in the high vertical resolution experiments, particularly for the Southwest monsoon season.

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Section: Reanalysis Datamentioning

confidence: 99%

Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution

et al. 2021

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“…the SW monsoon and the NE monsoon (Chenoli et al 2018). The spatiotemporal pattern of mean monthly and monsoonal patterns of rainfall and temperature in Borneo are shown in In defining climatic types and delineating similar climatic zones, many climatological studies have applied various kinds of data.…”

Section: Study Area and Datamentioning

confidence: 99%

“…The higher peak of rainfall during NE monsoon for all climate zones was due to the Borneo vortex's influence and cold surges coming from the north out of the SCS. The results showed that the local influences of the monsoon can be different across Borneo(Wang et al 2004;Chenoli et al 2018). The differences can be observed in the monthly rainfall distribution in different climate zones.…”

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confidence: 99%

Defining climate zone of Borneo based on cluster analysis

Sa’adi

Shahid

Shiru

2021

Theor Appl Climatol

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Although Borneo Island is one of the most vulnerable tropical regions to climate change, maps depicting the local climate conditions employing climate classification are still not well defined. The present study attempted regional climate classification to divide the Borneo region into several homogenous groups based on long-term average climate behavior. Daily gridded rainfall and temperature (Tavg, Tmax, and Tmin) data at 0.25 o resolution spanning 56-years (19602016) was used. The classification was done using non-hierarchical k-mean and several hierarchical methods, namely, Single, Complete, McQuitty, Average, Centroid, Median, and two algorithms of Ward's method, wardD, and wardD2. The results showed that k-mean, wardD, and wardD2 were able to classify the climate of Borneo into four zones, namely 'Dry and hot' (DH), 'Wet and hot' (WH), 'Wet' (W), and 'Wet and cold' (WC) with a considerable difference at the boundaries. Spatial relevancy, stability, and variability of the clusters based on correlation and compromise programming showed that the wardD method was the most likely to yield acceptable results with optimum 4-cluster to partition the area into four principal climate zones. The constructed cluster plot, centroid plot, and probability distribution function (PDF) showed a distinct climatic characteristic between the climate zones in terms of rainfall, temperature, and seasonality. The proposed climate zonation for Borneo can help in better understanding climate regionality and climate-related development planning.

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“…Increased drought periods and higher temperatures are projected to affect the distribution of rainfall, the river flows used for water availability, and the groundwater, and to further deteriorate water quality, causing deleterious effects on the water supply [25]. The warming of the climate affects multiple different aspects of the global climate system, especially the surface temperature equilibrium, which in its current state will disrupt the temperature balance and cause global weather disruption, over the long term leading to climate change, significantly altering the hydrological balance, cycle, and processes [26,27].…”

Section: Introductionmentioning

confidence: 99%

Impact of Extreme Drought Climate on Water Security in North Borneo: Case Study of Sabah

Payus

Huey

Adnan

et al. 2020

Water

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For countries in Southeast Asia that mainly rely on surface water as their water resource, changes in weather patterns and hydrological systems due to climate change will cause severely decreased water resource availability. Warm weather triggers more water use and exacerbates the extraction of water resources, which will change the operation patterns of water usage and increase demand, resulting in water scarcity. The occurrence of prolonged drought upsets the balance between water supply and demand, significantly increasing the vulnerability of regions to damaging impacts. The objectives of this study are to identify trends and determine the impacts of extreme drought events on water levels for the major important water dams in the northern part of Borneo, and to assess the risk of water insecurity for the dams. In this context, remote sensing images are used to determine the degree of risk of water insecurity in the regions. Statistical methods are used in the analysis of daily water levels and rainfall data. The findings show that water levels in dams on the North and Northeast Coasts of Borneo are greatly affected by the extreme drought climate caused by the Northeast Monsoon, with mild to the high risk recorded in terms of water insecurity, with only two of the water dams being water-secure. This study shows how climate change has affected water availability throughout the regions.

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Southwest monsoon onset dates over Malaysia and associated climatological characteristics

Cited by 31 publications

References 26 publications

Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution

Monsoonal precipitation over Peninsular Malaysia in the CMIP6 HighResMIP experiments: the role of model resolution

Defining climate zone of Borneo based on cluster analysis

Impact of Extreme Drought Climate on Water Security in North Borneo: Case Study of Sabah

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