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Seasonal cycle as template for climate variability on astronomical timescales

机译:季节周期作为天文时标上气候变化的模板

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We propose a new concept for insolation-driven temperature variability on orbital timescales. It relies on the modern relationship between insolation and temperature throughout the year. The method consists of (1) estimating empirical transfer functions between daily insolation and daily temperature and (2) applying these transfer functions on the long-term insolation to model the late Quaternary temperature evolution. On the basis of the observed insolation-temperature relationship, different temperature response regimes across the Earth are identified. Linear relationships dominate extratropical land areas whereas in midlatitude oceans, the seasonally varying mixed layer depth renders the temperature more sensitive to summer than to winter insolation. The temperature in monsoon regions and regions of seasonal sea ice cover also shows a seasonally varying response to insolation. These transfer functions characterize the shape of the seasonal cycle in temperature and influence the temperature evolution on orbital timescales by rectifying the insolation signal. On the basis of our seasonal template model, we estimate the temperature evolution of the last 750,000 years. The model largely reproduces the Holocene temperature trends as simulated by a coupled climate model. In the frequency domain, significant temperature variability in the eccentricity and semiprecession frequency band in the tropics is found. Midlatitudes are dominated by precession, and high latitudes are dominated by obliquity. Further, it is found that the expected frequency response highly depends on the location. Our local time-independent approach complements the global Milankovitch hypothesis (climate variations are driven by northern summer insolation) in explaining observed climate variability and potentially offers new insights in interpreting paleoclimate records.
机译:我们提出了在轨道时标上由日射驱动的温度变化的新概念。它依赖于全年的日照与温度之间的现代关系。该方法包括(1)估算日照和日温之间的经验传递函数,以及(2)将这些传递函数应用于长期日照以模拟第四纪晚期温度演化。根据观测到的日照温度关系,可以确定整个地球的不同温度响应机制。线性关系主导着温带陆地区域,而在中纬度海洋中,季节性变化的混合层深度使得温度对夏季比对冬季的日照更敏感。季风区域和季节性海冰覆盖区域的温度也显示出对日照的季节性变化响应。这些传递函数表征温度的季节性周期的形状,并通过校正日照信号来影响温度在轨道时标上的演变。根据我们的季节性模板模型,我们估计最近750,000年的温度演变。该模型在很大程度上再现了由耦合气候模型模拟的全新世温度趋势。在频域中,发现在热带的偏心率和半进动频带中存在明显的温度变化。中纬度以岁差为主,高纬度以倾角为主。此外,发现预期的频率响应高度取决于位置。我们的本地时间独立方法补充了全球Milankovitch假说(气候变化是由夏季北部的日晒引起的),用于解释观测到的气候变化,并可能在解释古气候记录方面提供新的见解。

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