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Temperature fluctuations superimposed on background temperature change

机译:温度波动叠加在背景温度变化上

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Proxy data allows the temperature of the Earth to be mapped over long periods of time. In this work the temperature fluctuations for over 200 proxy data sets were examined and from this set 50 sets were analyzed to test for periodic and quasi-periodic fluctuations in the data sets. Temperature reconstructions over 4 different time scales were analyzed to see if patterns emerged. Data were put into four time intervals; 4,000 years, 14,000 years, 1,000,000 years, and 3,000,000 years and analyzed with a goal to understanding periodic and quasi-periodic patterns in global temperature change superimposed on a "background" average temperature change. Quasi-periodic signatures were identified that predate the Industrial Revolution, during much of which direct data on temperature are not available. These data indicate that Earth temperatures have undergone a number of periodic and quasi-periodic intervals that contain both global warming and global cooling cycles. The fluctuations are superimposed on a background of temperature change that has a declining slope during the two periods, pre-ice age and post ice age with a transition about 12,000 BCE. The data are divided into "events" that span the time periods 3,000,000 BCE to "0" CE, 1,000,000 BCE to "0" CE, 12,000 BCE to 2,000 CE and 2,000 BCE to 2,000 CE. An equation using a quasi -periodic (frequency modulated sine waves) patterns was developed to analyze the date sets for quasi -periodic patterns. "Periodicities" which show reasonable agreement with the predictions of Milankovitch and other investigators were found in the data sets. (C) 2015 Elsevier Ltd. All rights reserved.
机译:代理数据允许在很长一段时间内绘制地球温度。在这项工作中,检查了200多个代理数据集的温度波动,并从该集合中分析了50个数据集,以测试数据集中的周期性和准周期性波动。分析了在4个不同时间尺度上的温度重建,以查看是否出现模式。数据分为四个时间间隔; 4,000年,14,000年,1,000,000年和3,000,000年,并进行了分析,目的是了解全球温度变化的周期性和准周期性模式,叠加在“本底”平均温度变化上。在工业革命之前,人们已经确定了准周期性的特征,在此期间,许多关于温度的直接数据都不可用。这些数据表明,地球温度经历了许多周期性和准周期性的时间间隔,其中既包含全球变暖周期,又包含全球冷却周期。波动叠加在温度变化的背景上,该温度变化在冰期前和冰期后两个时期都有下降的斜率,大约在公元前12,000年过渡。数据分为“事件”,这些事件的时间间隔为3,000,000 BCE到“ 0” CE,1,000,000 BCE到“ 0” CE,12,000 BCE到2,000 CE和2,000 BCE到2,000 CE。建立了使用准周期(调频正弦波)模式的方程,以分析准周期模式的日期集。在数据集中发现了与米兰科维奇和其他研究者的预测合理吻合的“周期性”。 (C)2015 Elsevier Ltd.保留所有权利。

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