Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Ciudad Universitaria, Circuito Exterior, Mexico DF, Mexico.
Institute for Environmental Studies, Vrije Universiteit, Amsterdam, Netherlands.
Ann N Y Acad Sci. 2024 Jan;1531(1):69-83. doi: 10.1111/nyas.15088. Epub 2023 Dec 5.
We consider issues related to the effect of climate change on the persistence of (trend-corrected) temperatures using global gridded data for both land and oceans. We first discuss how the presence of trends and additive noise affects inference about persistence. Ignoring a trend induces an upward bias, while not accounting for noise induces a downward bias. We show that the increase in persistence in the commonly used Warm Spell Duration Index is simply an artifact of increasing temperatures. To purge the impact of both trends and noise, we adopt a simple state-space model. Of separate interest, we document a much larger noise component for land than for oceans. The estimates of the persistence are much larger for oceans than for land. Inspection of the estimates across various subsamples and the application of tests for structural changes suggest the same pattern of persistence for both land and oceans across time, with few minor exceptions. Hence, our results show that surface temperature persistence has remained constant during the observed period.
我们考虑了与气候变化对(趋势修正后的)温度持续性的影响相关的问题,使用了陆地和海洋的全球网格化数据。我们首先讨论了趋势和附加噪声的存在如何影响持续性的推断。忽略趋势会导致向上偏差,而不考虑噪声会导致向下偏差。我们表明,常用的暖期持续时间指数中持续性的增加仅仅是由于温度升高的一个假象。为了消除趋势和噪声的影响,我们采用了一个简单的状态空间模型。另外,我们记录到陆地的噪声分量比海洋大得多。海洋的持久性估计值比陆地大得多。对各种子样本的估计值进行检查,并应用结构性变化检验,表明陆地和海洋的持续性模式在时间上是一致的,只有少数例外。因此,我们的结果表明,在观测期间,地表温度的持续性保持不变。