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Intra-seasonal variability of the sea surface temperature and its relation to meridional wind and rainfall in Indonesian waters

机译:海面温度的季节性变异性及其与印度尼西亚水域的贡献和降雨的关系

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Indonesia is a maritime continent country that lies between the Indian Ocean and the Pacific Ocean. Therefore, the interaction between ocean and atmosphere plays an important role in the formation of weather and climate phenomena. A good understanding of ocean-atmosphere parameters on the scale of intra-seasonal is needed accordingly to the WMO (World Meteorological Organization) program on Sub-Seasonal to Seasonal Project. This study will discuss the Sea Surface Temperature (SST), meridional wind and precipitation to identify the strength of the relationship, to analyze the variations and to obtain cycle/periodicity in the maximum periods of one hundred days. Those data were from NOAA and TRMM satellites for the years of 2002-2015, processed and analyzed using correlation, spatially and temporally. Data were transformed using Fast Fourier Transform and spectral analysis which performed using periodogram of Power Spectral Density. The result showed that the Flores Sea, Banda Sea and Arafura Sea have the strongest relationship on the precipitation with SST and meridional wind. These waters also have the lowest value on the SST and rainfall, and relatively more predictable due to small different from the value of day n-1. Compared to Australian Monsoon, Halmahera Sea has a higher rainfall because it is more influenced by the flow of warm sea currents from warm pool in the north Papua. Meridional wind in the waters of western Indonesia is influenced by the Madden Julian Oscillation. The periodicity strength of SST, meridional wind and rainfall in western and eastern Indonesia waters are not always comparable because there is a time lag.
机译:印度尼西亚是印度洋与太平洋之间的海洋大陆国家。因此,海洋与大气之间的相互作用在天气和气候现象的形成中起着重要作用。对季节性项目的WMO(世界气象组织)计划需要对季节性范围的海洋气氛参数进行良好了解。本研究将讨论海面温度(SST),子午线和沉淀,以识别关系的强度,分析变化并在最大时间内获得循环/周期性。这些数据来自NOAA和TRMM卫星,持续2002-2015年,使用相关性,空间和时间来处理和分析。使用快速傅里叶变换和使用功率谱密度的周期测量来转换数据。结果表明,弗洛雷斯海,班达海和阿拉菲拉海对SST和经济风的降水具有最强的关系。这些水域在SST和降雨中也具有最低的值,并且由于小于N-1的值不同,因此由于小不同而相对更可预测。与澳大利亚季风相比,Halmahera Sea降雨了更高,因为它受到北巴布亚的温水水池的温暖海流流动的影响。印度尼西亚西部水域的经络受到Madden Julian振荡的影响。印度尼西亚和东部和东部地区和东部的经济和降雨的周期性力量并不总是可比,因为有时间滞后。

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