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Seasonal Sea Surface Temperature Variability over Tropical Indo-Pacific Region Simulated by FIO-ESM Model Under Global Warming
Pure and Applied Geophysics ( IF 2 ) Pub Date : 2020-02-13 , DOI: 10.1007/s00024-020-02439-7
Xinyou Zhang , Lin Liu , Yajuan Song

The long-term trend and seasonal variability of sea surface temperature (SST) over tropical Indo-Pacific region under the global warming projection simulated by FIO-ESM model are analyzed. At seasonal time scale, significant warming trend over Indo-Pacific area is well captured by FIO-ESM model over the warm pool region under RCP8.5 scenario. The La Niña-like warming pattern is dominant in the tropical Pacific and the negative Indian Ocean Dipole warming pattern takes place in the Indian Ocean in global warming projection separately. The strength of SST warming trend is found to be seasonal dependent over Indo-Pacific region. The spatial distribution of calendar month where fastest/slowest SST warming trend take place in tropical Indo-Pacific has been assessed in FIO-ESM simulation, which is corresponded with the distribution of SST climatology closely in Pacific but not in Indian Ocean.

中文翻译:

全球变暖下 FIO-ESM 模型模拟的热带印太地区海面季节性变化

分析了FIO-ESM模型模拟的全球变暖预测下热带印度洋-太平洋地区海面温度(SST)的长期趋势和季节性变化。在季节性时间尺度上,在 RCP8.5 情景下,FIO-ESM 模型在暖池区域很好地捕捉了印度-太平洋地区的显着变暖趋势。在全球变暖预测中,拉尼娜样变暖模式在热带太平洋占主导地位,负印度洋偶极子变暖模式分别发生在印度洋。发现 SST 变暖趋势的强度在印度-太平洋地区具有季节性。在 FIO-ESM 模拟中评估了热带印度-太平洋地区发生最快/最慢 SST 变暖趋势的日历月的空间分布,
更新日期:2020-02-13
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