用1979～1994年间的“回报”个例，探讨了该模式对ENSO引起的全球气候异常的预报。
With the prediction cases during the period of 1979 to 1994, the predictive capability of the model for ENSO-caused global climate anomalies is discussed.
相反，研究发现，气候异常每年已经造成1.2万亿美元的损失，使全球GDP减少了1.6%。
Conversely, it was found that climate disruption is already costing $1.2 trillion annually, cutting global GDP by 1.6%.
所以在全球气候变暖和其他高发性气候异常背景之下，我们一直希望有一个极其舒适的地方去居住。
So in the backdrop of global warming and other climactic abnormalities, we all are always hoping for a climactically pleasant place to live in.
全球暖化带来的是温室效应，温室效应会带来气候异常变化，引发水灾、旱灾、海啸、暴风、地震等种种问题。
Global warming brings about the greenhouse effect and the greenhouse effect brings about abnormal climate change, causing floods, droughts, tsunamis, storms, earthquakes and other problems.
近年来，在全球性的气候异常、牧区人口过快增加的背景下，90%的天然牧草出现不同程度的退化现象。
In recent years, 90% of natural grass have shown various degrees of degeneration against exceptional weather word-wide and exceeding fast increase of population in pasturing areas.
要直接得到真实的全球地表气温是不太可能的，所以科学家们要在计算结果中加入“气候异常”的因素。
It is not possible to reliably calculate absolute global average surface temperatures, so scientists instead calculate a relative measure called a "temperature anomaly."
特别是1997年，受近百年罕见的强厄尔尼诺现象的影响，全球范围内出现气候异常，自然灾害频繁发生。
Especially in 1997, by nearly a hundred years of strong el Nino phenomenon rarely seen in the impact of global climate anomalies occur, frequent occurrence of natural disasters.
去年年末，发生了一些不同寻常的事情，各地媒体似乎在一夜之间接受了全球变暖与气候异常这一事实。
Something remarkable happened towards the end of last year: suddenly the media was taking global warming and climate change as a fact.
今后受全球人口增长、耕地和水资源约束以及气候异常等因素影响，全球粮食供求将长期趋紧。
Future global population growth, arable land and water resources and climate anomalies, such as binding factors, long-term global food supply and demand will be tight.
今后受全球人口增长、耕地和水资源约束以及气候异常等因素影响，全球粮食供求将长期趋紧。
Future global population growth, arable land and water resources and climate anomalies, such as binding factors, long-term global food supply and demand will be tight.
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