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首页> 外文期刊>Remote Sensing >Differential Heating in the Indian Ocean Differentially Modulates Precipitation in the Ganges and Brahmaputra Basins
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Differential Heating in the Indian Ocean Differentially Modulates Precipitation in the Ganges and Brahmaputra Basins

机译:印度洋的差异加热对恒河和雅鲁藏布江盆地的降水有不同的调节作用。

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Indo-Pacific sea surface temperature dynamics play a prominent role in Asian summer monsoon variability. Two interactive climate modes of the Indo-Pacific—the El Ni?o/Southern Oscillation (ENSO) and the Indian Ocean dipole mode—modulate the amount of precipitation over India, in addition to precipitation over Africa, Indonesia, and Australia. However, this modulation is not spatially uniform. The precipitation in southern India is strongly forced by the Indian Ocean dipole mode and ENSO. In contrast, across northern India, encompassing the Ganges and Brahmaputra basins, the climate mode influence on precipitation is much less. Understanding the forcing of precipitation in these river basins is vital for food security and ecosystem services for over half a billion people. Using 28 years of remote sensing observations, we demonstrate that (i) the tropical west-east differential heating in the Indian Ocean influences the Ganges precipitation and (ii) the north-south differential heating in the Indian Ocean influences the Brahmaputra precipitation. The El Ni?o phase induces warming in the warm pool of the Indian Ocean and exerts more influence on Ganges precipitation than Brahmaputra precipitation. The analyses indicate that both the magnitude and position of the sea surface temperature anomalies in the Indian Ocean are important drivers for precipitation dynamics that can be effectively summarized using two new indices, one tuned for each basin. These new indices have the potential to aid forecasting of drought and flooding, to contextualize land cover and land use change, and to assess the regional impacts of climate change.
机译:印度洋-太平洋海面温度动态在亚洲夏季风季风变化中起着重要作用。印度洋-太平洋的两种互动气候模式-厄尔尼诺/南方涛动(ENSO)和印度洋偶极子模式-除非洲,印度尼西亚和澳大利亚的降水量外,还调节了印度的降水量。但是,这种调制在空间上不是均匀的。印度洋偶极子模式和ENSO强烈迫使印度南部产生降水。相反,在印度北部,包括恒河和雅鲁藏布江盆地,气候模式对降水的影响要小得多。了解这些流域降水的强迫对于超过十亿人口的粮食安全和生态系统服务至关重要。使用28年的遥感观测,我们证明了(i)印度洋的热带东西向差异加热影响恒河降水,(ii)印度洋的南北差异加热影响雅鲁藏布江的降水。厄尔尼诺期引起印度洋暖池中的变暖,并且对恒河降水的影响大于布拉马普特拉降水。分析表明,印度洋海表温度距平的大小和位置都是降水动态的重要驱动因素,可以使用两个新指标对每个海盆进行调整,以有效总结这些动态。这些新指数有可能有助于预测干旱和洪水,使土地覆盖和土地利用的变化具体化,并评估气候变化对区域的影响。

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