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首页> 外文期刊>Ocean Dynamics >Interannual variability of the air–sea CO2 flux in the north Indian Ocean
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Interannual variability of the air–sea CO2 flux in the north Indian Ocean

机译：北印度洋海海CO2通量的年际变化

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A simple biogeochemical model coupled to an offline ocean tracer transport model driven by reanalysis ocean data is used to simulate the seasonal and interannual CO(_2) flux variability in the northern Indian Ocean. The maximum of seasonal and interannual CO(_2) emission variances in the northern Indian Ocean are located in the coastal Arabian Sea (AS) and Southern Peninsular India (SP) with a basin-wide seasonal amplitude and standard deviation of 0.044(pm )0.04 Pg C year(^{-1}). The area integrated CO(_2) emissions from these two regions in the model are significantly correlated (above a 95 % level) with the observations of Takahashi et al. (Deep-Sea Res-II, 56:554–577, 2009). The interannual anomalies of CO(_2) emission from the AS and SP are found as 40 and 30 % of their respective seasonal amplitudes. Both the Arabian Sea (AS) and Southern Peninsular India (SP) interannual CO(_2) emission anomalies show a 3–4-year variability. The correlations of AS and SP CO(_2) emission anomalies with the Indian Ocean Dipole/Zonal Mode (IODZM) and Southern Oscillation (SO) indices from 1980 to 1999 are 0.35, 0.21 and 0.32, 0.01 respectively. A 5-year window moving correlation analysis shows that the relationship of AS and SP CO(_2) emission to the SO and IODZM are complementary to each other. During the years when the correlation of air–sea CO(_2) emission with the IODZM is stronger, the corresponding correlation with the SO is weaker or opposite. The total change in pCO(_2) is broken down into changes induced by the individual components such as dissolved inorganic carbon (DIC), sea surface temperature (SST), alkalinity, and salinity and found that (1) the effect of SST in the AS CO(_2) emission increases (decreases) when the correlation of CO(_2) emission with the IODZM is positive (negative), and (2) the SP CO(_2) emission is strongly controlled by the circulation-driven DIC changes; however, this relation is found to be weaker when the SO correlates negatively with the SP CO(_2) emission.
机译：一个简单的生物地球化学模型，再加上由重新分析海洋数据驱动的离线海洋示踪剂运输模型，可用于模拟北印度洋的季节性和年际CO（_2）通量变化。印度洋北部的季节性和年度间CO（_2）排放变化的最大值位于阿拉伯海沿岸（AS）和印度半岛南部（SP），盆地范围的季节性振幅为0.044（pm）0.04。 Pg C年（^ {-1}）。来自模型中这两个区域的CO（_2）排放面积与Takahashi等人的观测结果显着相关（高于95％）。 （Deep-Sea Res-II，56：554–577，2009）。从AS和SP的CO（_2）排放的年际异常被发现为它们各自季节振幅的40％和30％。阿拉伯海（AS）和印度南部半岛（SP）的年际CO（_2）排放异常均显示3–4年的变异性。从1980年到1999年，AS和SP CO（_2）排放异常与印度洋偶极子/分区模式（IODZM）和南方涛动（SO）指数的相关性分别为0.35、0.21和0.32、0.01。一项为期5年的窗口移动相关性分析表明，AS和SP CO（_2）排放与SO和IODZM的关系相互补充。在海气CO（_2）排放与IODZM的相关性较强的年份中，与SO的相应相关性较弱或相反。 pCO（_2）的总变化被分解为由诸如溶解性无机碳（DIC），海面温度（SST），碱度和盐度之类的各个成分所引起的变化，并发现（1）SST在海洋中的作用当CO（_2）排放与IODZM的相关为正（负）时，AS CO（_2）排放增加（减少），并且（2）SP CO（_2）排放受循环驱动DIC变化的强烈控制；但是，当SO与SP CO（_2）排放负相关时，发现这种关系较弱。

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