全球变暖下强迫ENSO变化的可检测性：来自充放电振子（RO）的见解
Detectability of Forced ENSO Changes under Global Warming: Insights from the Recharge Oscillator
浏览论文内容
中文总结 AI 辅助
本研究通过充放电振子（RO）大集合模拟，量化全球变暖下ENSO内部变率与强迫变化的可检测性，明确了ENSO振幅、周期相关过程的强迫变化可检测阈值，为气候模式ENSO变化诊断提供试验平台。
中文摘要 AI 辅助
我们使用完美模型的大集合非线性充放电振子（Recharge Oscillator，RO）模拟，量化ENSO内部变率以及ENSO特征中强迫变化的可检测性。固定参数模拟显示，1955年以来观测到的ENSO标准差、周期和偏度的线性趋势，有10%的模拟可由内部变率产生。即使没有强迫，从单次实现估计的RO参数也会出现虚假漂移，这凸显了集合的必要性。使用与最大气候模式集合相当的100成员集合，我们识别出可检测的参数趋势。对于ENSO振幅，潜在过程强迫变化的可检测阈值为：随机强迫每世纪15%，海盆调整每世纪25%， Bjerknes反馈每世纪50%。对于ENSO周期，潜在充放电过程和延迟海洋反馈强迫变化的可检测阈值为每世纪15%。这些结果为解释气候模式集合中RO诊断的ENSO变化提供了试验平台。
英文摘要
We use perfect-model, large-ensemble nonlinear Recharge Oscillator (RO) simulations to quantify ENSO internal variability and the detectability of forced changes in ENSO characteristics. Fixed-parameter simulations show that linear trends in ENSO standard deviation, period, and skewness as large as those observed since 1955 can arise from internal variability in 10% of simulations. RO parameters estimated from single realizations exhibit spurious drifts even without forcing, underscoring the need for ensembles. Using 100-member ensembles, comparable to the largest climate-model ensembles, we identify detectable parameter trends. For ENSO amplitude, the detectability thresholds for forced changes in underlying processes are 15% per century for stochastic forcing, 25% per century for basin adjustment, and 50% per century for the Bjerknes feedback. For ENSO period, the detectability threshold for forced changes in the underlying recharge--discharge processes and delayed oceanic feedback is 15% per century. These results provide a testbed for interpreting RO-diagnosed ENSO changes in climate-model ensembles.
