| DAUD Nurul Rabitah,AKHIR Mohd Fadzil,M Muslim Aidy.Dynamic of ENSO towards upwelling and thermal front zone in the east coast of Peninsular Malaysia[J].Acta Oceanologica Sinica,2019,38(1):48-60 |
| Dynamic of ENSO towards upwelling and thermal front zone in the east coast of Peninsular Malaysia |
| Dynamic of ENSO towards upwelling and thermal front zone in the east coast of Peninsular Malaysia |
| 投稿时间：2017-08-30 |
| DOI：10.1007/s13131-019-1369-7 |
| 中文关键词: ENSO thermal frontal zone coastal upwelling sea surface temperature South China Sea |
| 英文关键词:ENSO thermal frontal zone coastal upwelling sea surface temperature South China Sea |
| 基金项目: |
| 作者 | 单位 | E-mail | | DAUD Nurul Rabitah | Institute of Oceanography and Environment, Universiti Malaysia Terengganu, Terengganu 21030, Malaysia
Faculty of Civil Engineering, Universiti Teknologi MARA, Selangor 40450, Malaysia | | | AKHIR Mohd Fadzil | Institute of Oceanography and Environment, Universiti Malaysia Terengganu, Terengganu 21030, Malaysia | mfadzil@umt.edu.my | | M Muslim Aidy | Institute of Oceanography and Environment, Universiti Malaysia Terengganu, Terengganu 21030, Malaysia | |
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| 中文摘要: |
| The El Niño Southern Oscillation (ENSO) is a natural phenomenon that relates to the fluctuation of temperatures over the Pacific Ocean. The ENSO significantly affects the ocean dynamics including upwelling event and coastal front. A recent study discovered the seasonal upwelling in the east coast of Peninsular Malaysia (ECPM), which is significant to the fishery industry in this region. Thus, it is vital to have a better understanding of the influence of ENSO towards the coastal upwelling and thermal front in the ECPM. The sea surface temperature (SST) data achieved from moderate resolution imaging spectroradiometer (MODIS) aboard Aqua satellite are used in this study to observe the SST changes from 2005 to 2015. However, due to cloud cover issue, a reconstruction of data set is applied to MODIS data using the data interpolating empirical orthogonal function (DINEOF) to fill in the missing gap in the dataset based on spatial and temporal available data. Besides, a wavelet transformation analysis is done to determine the temperature fluctuation throughout the time series. The DINEOF results show the coastal upwelling in the ECPM develops in July and reaches its peak in August with a clear cold water patch off the coast. There is also a significant change of SST distribution during the El Niño years which weaken the coastal upwelling event along the ECPM. The wavelet transformation analysis shows the highest temperature fluctuation is in 2009-2010 which indicates the strongest El Niño throughout the time period. It is suggested that the El Niño is favourable for the stratification in water column thus it is weakening the upwelling and thermal frontal zone formation in ECPM waters. |
| 英文摘要: |
| The El Niño Southern Oscillation (ENSO) is a natural phenomenon that relates to the fluctuation of temperatures over the Pacific Ocean. The ENSO significantly affects the ocean dynamics including upwelling event and coastal front. A recent study discovered the seasonal upwelling in the east coast of Peninsular Malaysia (ECPM), which is significant to the fishery industry in this region. Thus, it is vital to have a better understanding of the influence of ENSO towards the coastal upwelling and thermal front in the ECPM. The sea surface temperature (SST) data achieved from moderate resolution imaging spectroradiometer (MODIS) aboard Aqua satellite are used in this study to observe the SST changes from 2005 to 2015. However, due to cloud cover issue, a reconstruction of data set is applied to MODIS data using the data interpolating empirical orthogonal function (DINEOF) to fill in the missing gap in the dataset based on spatial and temporal available data. Besides, a wavelet transformation analysis is done to determine the temperature fluctuation throughout the time series. The DINEOF results show the coastal upwelling in the ECPM develops in July and reaches its peak in August with a clear cold water patch off the coast. There is also a significant change of SST distribution during the El Niño years which weaken the coastal upwelling event along the ECPM. The wavelet transformation analysis shows the highest temperature fluctuation is in 2009-2010 which indicates the strongest El Niño throughout the time period. It is suggested that the El Niño is favourable for the stratification in water column thus it is weakening the upwelling and thermal frontal zone formation in ECPM waters. |
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