论文标题

卤化温室气体对全球表面温度变化的主要贡献

Major Contribution of Halogenated Greenhouse Gases to Global Surface Temperature Change

论文作者

Lu, Qing-Bin

论文摘要

本文旨在更好地理解为什么在2000 - 2015年发生全球变暖,以及为什么近年来全球平均表面温度(GMST)再次上升。我们介绍和统计分析了观察到的大量时间序列,观察到全球下层平流层温度(GLST),对流层 - 线圈温度气候,全球陆地表面空气温度,GMST,Sea Ice范围(SIE)和雪覆盖范围(SCE)(SCE)结合了GLSTS和GMST的计算。观察到的结果表明,GLST/SCE自1990年代中期以来稳定,在过去的两年半中没有显着变化。已经观察到高纬度的平流层变暖,自2000年代中期以来,GMST或全球地表空气温度已达到平稳状态,消除了自然作用。与之形成鲜明对比的是,在极地地区(尤其是俄罗斯和阿拉斯加)海岸的持续急剧变暖,并通过海冰损坏变暖的放大机制很好地解释了。通过无参数的量子体物理学变暖模型(GHGS)计算出的GMST与自然El Nino Southern振荡(ENSO)和火山效应后观察到的GMST相同。这些结果为人为卤素温室气体的主要变暖机制提供了有力的证据。结果还要求对当前气候模型中的假设进行仔细检查。

This paper aims to better understand why there was a global warming pause in 2000-2015 and why the global mean surface temperature (GMST) has risen again in recent years. We present and statistically analyze substantial time-series observed datasets of global lower stratospheric temperature (GLST), troposphere-stratosphere temperature climatology, global land surface air temperature, GMST, sea ice extent (SIE) and snow cover extent (SCE), combined with modeled calculations of GLSTs and GMSTs. The observed and analyzed results show that GLST/SCE has stabilized since the mid-1990s with no significant change over the past two and a half decades. Upper stratospheric warming at high latitudes has been observed and GMST or global land surface air temperature has reached a plateau since the mid-2000s with the removal of natural effects. In marked contrast, continued drastic warmings at the coasts of polar regions (particularly Russia and Alaska) are observed and well explained by the sea-ice-loss warming amplification mechanism. The calculated GMSTs by the parameter-free quantum-physics warming model of halogenated greenhouse gases (GHGs) show excellent agreement with the observed GMSTs after the natural El Nino southern oscillation (ENSO) and volcanic effects are removed. These results have provided strong evidence for the dominant warming mechanism of anthropogenic halogenated GHGs. The results also call for closer scrutiny of the assumptions made in current climate models.

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