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A multi-proxy reconstruction of spatial and temporal variations in Asian summer temperatures over the last millennium

机译:近千年来亚洲夏季气温时空变化的多代理重建

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摘要

To investigate climate variability in Asia during the last millennium, the spatial and temporal evolution of summer (June-July-August; JJA) temperature in eastern and south-central Asia is reconstructed using multi-proxy records and the regularized expectation maximization (RegEM) algorithm with truncated total least squares (TTLS), under a point-by-point regression (PPR) framework. The temperature index reconstructions show that the late 20th century was the warmest period in Asia over the past millennium. The temperature field reconstructions illustrate that temperatures in central, eastern, and southern China during the 11th and 13th centuries, and in western Asia during the 12th century, were significantly higher than those in other regions, and comparable to levels in the 20th century. Except for the most recent warming, all identified warm events showed distinct regional expressions and none were uniform over the entire reconstruction area. The main finding of the study is that spatial temperature patterns have, on centennial time-scales, varied greatly over the last millennium. Moreover, seven climate model simulations, from the Coupled Model Intercomparison Project Phase 5 (CMIP5), over the same region of Asia, are all consistent with the temperature index reconstruction at the 99 % confidence level. Only spatial temperature patterns extracted as the first empirical orthogonal function (EOF) from the GISS-E2-R and MPI-ESM-P model simulations are significant and consistent with the temperature field reconstruction over the past millennium in Asia at the 90 % confidence level. This indicates that both the reconstruction and the simulations depict the temporal climate variability well over the past millennium. However, the spatial simulation or reconstruction capability of climate variability over the past millennium could be still limited. For reconstruction, some grid points do not pass validation tests and reveal the need for more proxies with high temporal resolution, accurate dating, and sensitive temperature signals, especially in central Asia and before AD 1400.
机译:为了调查最近一千年亚洲的气候变化,使用多重代理记录和正则期望最大化(RegEM)重建了东亚和中南地区夏季(6月至7月; 8月; JJA)温度的时空演变。点对点回归(PPR)框架下具有截短的总最小二乘(TTLS)的算法。温度指数的重建表明,二十世纪末是过去千年中亚洲最温暖的时期。温度场的重建表明,在11、13世纪,在中部,东部和南部的中国,以及在12世纪,在西亚的温度显着高于其他地区,与20世纪的水平相当。除了最近的变暖,所有已识别的暖事件都显示出不同的区域性表达,并且在整个重建区域中没有一个是统一的。该研究的主要发现是,在过去的千年中,空间温度模式在百年时间尺度上变化很大。此外,来自亚洲同一地区的耦合模型比较项目第5阶段(CMIP5)的7个气候模型模拟都与99%置信度下的温度指数重建相符。只有从GISS-E2-R和MPI-ESM-P模型模拟中提取的作为第一经验正交函数(EOF)的空间温度模式才有意义,并且与亚洲过去千年中90%置信度下的温度场重构一致。这表明重建和模拟都很好地描述了过去千年的时间气候变异性。但是,过去千年来气候变化的空间模拟或重建能力仍可能受到限制。对于重建,某些网格点未通过验证测试,因此显示需要更多具有高时间分辨率,准确的日期和敏感的温度信号的代理,尤其是在中亚和公元1400年之前。

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