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Comparison of past and future simulations of ENSO in CMIP5/PMIP3 and CMIP6/PMIP4 models

机译:在CMIP5 / PMIP3和CMIP6 / PMIP4型号中的过去和未来模拟的比较

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El Ni?o–Southern Oscillation (ENSO) is the strongest mode of interannual climate variability in the current climate, influencing ecosystems, agriculture, and weather systems across the globe, but future projections of ENSO frequency and amplitude remain highly uncertain. A comparison of changes in ENSO in a range of past and future climate simulations can provide insights into the sensitivity of ENSO to changes in the mean state, including changes in the seasonality of incoming solar radiation, global average temperatures, and spatial patterns of sea surface temperatures. As a comprehensive set of coupled model simulations is now available for both palaeoclimate time slices (the Last Glacial Maximum, mid-Holocene, and last interglacial) and idealised future warming scenarios (1 % per year CO2 increase, abrupt four-time CO2 increase), this allows a detailed evaluation of ENSO changes in this wide range of climates. Such a comparison can assist in constraining uncertainty in future projections, providing insights into model agreement and the sensitivity of ENSO to a range of factors. The majority of models simulate a consistent weakening of ENSO activity in the last interglacial and mid-Holocene experiments, and there is an ensemble mean reduction of variability in the western equatorial Pacific in the Last Glacial Maximum experiments. Changes in global temperature produce a weaker precipitation response to ENSO in the cold Last Glacial Maximum experiments and an enhanced precipitation response to ENSO in the warm increased CO2 experiments. No consistent relationship between changes in ENSO amplitude and annual cycle was identified across experiments.
机译:El Ni?O-Southern振荡(ENSO)是当前气候中最强大的际际气候变异模式,影响全球的生态系统,农业和天气系统,但ENSO频率和振幅的未来预测仍然非常不确定。在一系列过去和未来的气候模拟中,enso的变化比较可以为enso的敏感性提供洞察力,以便在平均状态变化,包括传入太阳辐射,全局平均气温和海表面空间模式的变化温度。作为一套全面的耦合模型模拟,现在可用于古怪的时间片(最后的冰川最大,中东地区,中间间冰也,中间的最高冰)和未来的未来变暖场景(每年1%CO 2增加,突然四次CO2增加) ,这允许对ENSO的详细评估在这种广泛的气候中的变化。这样的比较可以帮助在未来的预测中限制不确定性,提供对模型协议的见解以及ENSO对一系列因素的敏感性。大多数模型模拟了在最后一个中间和中间 - 全新世实验中的ENSO活动的一致弱化,并且在最后的冰川最大实验中存在西部赤道太平洋的可变异的集合平均值。全球温度的变化在冷的最后的冰川最大实验中对ENSO产生较弱的降水响应,并在温暖的CO2实验中提高对ENSO的增强的降水响应。在实验中确定了ENSO幅度和年度周期变化之间的一致关系。

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