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Variability of evaporation-precipitation (E-P) and sea surface salinity (SSS) over Indonesian maritime continent seas

机译:在印度尼西亚海洋大陆海域蒸发沉淀(E-P)和海表面盐度(SSS)的变异性

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The needs of global analysis for oceanic fresh water budget (evaporation-precipitation, E-P) and Sea Surface Salinity (SSS) are important to better understand the Earth's climate system and the global water cycle. However, this analysis is often obstructed by time series data availability of both variabilities. This research used the Sea Surface Salinity (SSS) data that are derived from Aquarius satellite to describe the variability of SSS over marginal seas of Indonesian Maritime Continent (IMC), especially in Karimata Strait, Java Sea and Banda Sea. The variability of precipitation (P) and evaporation (E) can be identified from ECMWF ERA INTERIM re-analysis data. All of these monthly data were obtained from September 2011 until May 2015. The estimation showed that the evaporation in these waters is approximately -0.025 Sv to -0.059 Sv. Linear relationships between oceanic fresh water budget (E-P) and SSS is significantly different over the Indonesian ocean and expressed in the determinant coefficient (R~2). The correlation between SSS and E-P was shown clearly in Indonesian waters. Almost half of SSS variation can be explained by E-P (27-53%), meanwhile the rest of SSS can be explained by other factors. From the two primary components of the fresh water budget, precipitation gave dominant influence compared to evaporation in explaining SSS variation. It was shown by the SSS when the precipitation decreased in the three waters. The correlation between the increase of E-P and SSS gradient and zonal and meridional wind speed was also shown there. The linear regression analysis was conducted to identify other variable which influence the SSS. The wind speed gave significant influence to SSS in the three waters. In Karimata Strait, the determinant coefficient (R~2) between zonal and meridional wind speed explained dominantly almost half of SSS variation (38-49%), meanwhile SSS can be explained by other factors. It means that the wind can influence SSS through the evaporation process in which the increase of wind speed may cause evaporation increase. Then, the increase of evaporation will influence the degree of SSS in these waters.
机译:对海洋淡水预算(蒸发沉淀,E-P)和海表面盐度(SSS)的全球分析需求对于更好地了解地球的气候系统和全球水循环是重要的。然而,这种分析通常是随着时间序列数据可用性的时间序列的阻碍。该研究使用了来自水瓶座卫星的海面盐度(SSS)数据来描述印度尼西亚海洋大陆(IMC)边缘海洋的SSS的变异性,特别是在卡里马塔海峡,Java海和班达海。可以从ECMWF时代临时重新分析数据中识别沉淀(P)和蒸发(E)的可变性。所有这些月度数据从2011年9月到2015年5月获得。估计表明,这些水中的蒸发约为-0.025 sv至-0.059 sv。对印尼海洋的海洋淡水预算(E-P)和SSS之间的线性关系在决定因子(R〜2)中表达。 SSS和E-P之间的相关性在印尼水域中清楚地显示。 e-p可以解释几乎一半的SSS变化(27-53%),同时SSS的其余部分可以解释其他因素。从淡水预算的两个主要成分,与蒸发相比,沉淀在解释SSS变异时对蒸发产生了显着的影响。当三个水中降水下降时,SSS显示。在那里还示出了E-P和SSS梯度和Zonal和Zonal和子速度的增加之间的相关性。进行线性回归分析以识别影响SSS的其他变量。风速对三个水域的SSS产生了显着影响。在karimata海峡,地区和子午线之间的决定因素系数(R〜2)占SSS变化的主要几乎一半(38-49%),同时SSS可以通过其他因素来解释。这意味着风能通过蒸发过程来影响SSS,其中风速的增加可能导致蒸发增加。然后,蒸发的增加将影响这些水中的SSS度。

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