Spatial and temporal variability of sea surface temperature during El-Niño Southern Oscillation and Indian Ocean Dipole in the Strait of Malacca and Andaman Sea

Isa, Noor Suhadah; Akhir, Mohd Fadzil; Kok, Poh Heng; Daud, Nurul Rabitah; Khalil, Idham; Roseli, Nur Hidayah

doi:10.1016/j.rsma.2020.101402

Cited by 14 publications

(10 citation statements)

References 54 publications

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“…As a result, water masses in the Andaman Sea cannot flow into the Malacca Strait and enter the South China Sea. This is also evidenced by a thermal boundary between the Andaman exit of the Malacca Strait and the Andaman Sea during the southwest monsoon season (Riza et al, 2010;Isa et al, 2020). This suggests that there is lack of larval dispersal and gene flow in the T. kuroshioensis populations in the Andaman Sea into the west Malacca Strait and subsequently into the South China Sea.…”

Section: Discussionmentioning

confidence: 98%

Biogeography and Biodiversity of the Intertidal Barnacle Tetraclita Species in the Gulf of Thailand and Andaman Sea – Influences of Oceanographic Currents and Pleistocene Glaciations

et al. 2022

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The present study investigated the phylogeography of the intertidal barnacle Tetraclita in the Gulf of Thailand ecoregion (Sunda Shelf Province in the Pacific) and the Andaman Sea Coral Coast ecoregion (Andaman Province in the Indian Ocean) in Thailand’s waters. Tetraclita species were identified by a combined morphological and molecular approach using mitochondrial gene fragments (CO1 and 12S rRNA). Tetraclita singaporensis is a major occupiers on the Andaman coast but is sparse in the western Gulf of Thailand. Tetraclita squamosa inhabits almost all of our collection sites in the Gulf of Thailand but has a very low abundance in the Andaman Sea. Tetraclita kuroshioensis has two genetically distinct populations, one in the Andaman Sea and the other in the West Pacific region. S-DIVA analysis showed that the most recent common ancestor (MRCA) of T. kuroshioensis was distributed in both the Andaman Sea and West Pacific region, with a relative probability of 63%; the analysis further identified two molecular subclades, one on each side of the Sunda Shelf by vicariance about 0.53 million years ago, far before the Last Glacial Maximum (LGM). The MRCA of T. squamosa was based in the West Pacific region (relative probability: 90%), and dispersed into the Andaman Sea after the LGM. The MRCA of T. singaporensis was in the Andaman Sea (relative probability: 89.5%) and dispersed into the Gulf of Thailand via monsoonal currents through the Malacca Strait after the LGM. Presently, T. singaporensis is absent from the West Pacific region, further supporting its origin in the Andaman Sea. The distribution of intertidal barnacles in the Sunda Shelf and Andaman provinces is a result of the interplay between geological events and present day oceanographic currents.

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Section: Discussionmentioning

confidence: 98%

Biogeography and Biodiversity of the Intertidal Barnacle Tetraclita Species in the Gulf of Thailand and Andaman Sea – Influences of Oceanographic Currents and Pleistocene Glaciations

et al. 2022

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“…Some studies based on shorter data record of the last four or five decades reported higher warming rates (Tangang et al 2007). Furthermore, higher projected extreme temperatures in regions 5 and 6 (%36 °C) could also be influenced by geographical factors because both regions are situated near the Indian and Pacific oceans in which the inter-annual variability variation in sea surface temperature could influence the large-scale climate variability, such as ENSO and Indian Ocean Dipole (Isa et al 2020).…”

Section: Precision Analysis Of Bcm-qm Skewed and Projection Of Future...mentioning

confidence: 99%

Optimizing future mortality rate prediction of extreme temperature-related cardiovascular disease based on skewed distribution in peninsular Malaysia

Esa

Halim

Ali

et al. 2022

Journal of Water and Climate Change

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Bias correction method (BCM) is useful in reducing the statistically downscaled biases of global climate models’ (GCM) outputs and preserving statistical moments of the hydrological series. However, BCM is less efficient under changed future conditions due to the stationary assumption and performs poorly in removing bias at extremes, thereby producing unreliable bias-corrected data. Thus, the existing BCM with normal distribution is improved by incorporating skewed distributions into the model with linear covariate (BCM-QMskewed). In this study, BCM-QMskewed is developed to reduce biases in the extreme temperature data of peninsular Malaysia. The input is the MIROC5 model output gridded data and observations sourced by the Malaysian Department of Irrigation and Drainage (1976–2005). BCM-QMskewed with lognormal (LGNORM) and Gumbel (GUM) has shown considerable skills in correcting biases, capturing extreme and nonstationarity of current and future extreme temperatures data series corresponding to the representative concentration pathways (RCPs) for 2006–2100 based on model diagnostics and precision analysis. Higher projection of extreme temperatures is more pronounced under RCP8.5 than RCP4.5 with precise estimates ranging from 33 to 42 °C and 30 to 32 °C, respectively. Finally, the projection of extreme temperatures is used to calculate cardiovascular disease (CVD) mortality rate which coincides with high extreme temperatures ranging between 0.002 and 0.014.

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“…The variability and origin of surface chlorophyll-a concentration under different climate conditions in the Malacca Strait, the South Java Coast, the Southern California Bight, the Indonesian Maritime Continent, and the South China Sea were studied using multiple remote sensing observation platforms and Argo observations [12][13][14][15][16]. Isa et al [17] used the Advanced Very High-Resolution Radiometer SST in the Malacca Strait to study the long-term trends and impacts of the El Southern/Oscillation and Indian Ocean Dipole. Mandal et al [18] used different kinds of data (e.g., Argos and satellite datasets) to evaluate different phases of the cyclonic storm ROANU along the western Bay of Bengal.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea

Gao

Guo

Wang

et al. 2022

JMSE

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The water mass in the East China Sea (ECS) shelf has a complicated three-dimensional (3D) hydrologic structure. However, previous studies mostly concentrated on the sea surface based on the sparse in situ and incomplete satellite-derived observations. Therefore, the 3D interpolation technology was introduced for the reconstruction of hydrologic structure in the ECS shelf using in situ temperature and salinity observations in the summer and autumn of 2010 to 2011. Considering the high accuracy and good fitness of the radial basis function (RBF) methods, we applied the RBF methods to the in situ observations to completely reconstruct the 3D hydrologic fields. Other 3D interpolation methods and 2D methods were also tested for a comparison. The cubic and thin plate spline RBFs were recommended because their mean absolute error (MAE) in the 10-fold cross-validation experiments maintained the order of ~10−2. The 3D RBF reconstructions showed a reasonable 3D hydrologic structure and extra details of the water masses in the ECS shelf. It also helps evaluate regional satellite-derived sea surface temperature (SST). Comparisons between the interpolated and satellite-derived SST indicates that the large bias of satellite-derived SST in the daytime corresponds to weak mixing during low-speed wind and shows seasonal variation.

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Spatial and temporal variability of sea surface temperature during El-Niño Southern Oscillation and Indian Ocean Dipole in the Strait of Malacca and Andaman Sea

Cited by 14 publications

References 54 publications

Biogeography and Biodiversity of the Intertidal Barnacle Tetraclita Species in the Gulf of Thailand and Andaman Sea – Influences of Oceanographic Currents and Pleistocene Glaciations

Biogeography and Biodiversity of the Intertidal Barnacle Tetraclita Species in the Gulf of Thailand and Andaman Sea – Influences of Oceanographic Currents and Pleistocene Glaciations

Optimizing future mortality rate prediction of extreme temperature-related cardiovascular disease based on skewed distribution in peninsular Malaysia

Assessment of Three-Dimensional Interpolation Method in Hydrologic Analysis in the East China Sea

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