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Evaluation of the Eta Simulations Nested in Three Global Climate Models

机译:嵌套在三个全球气候模型中的ETa模拟的评估

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To provide long-term simulations of climate change at higher resolution, Regional Climate Models (RCMs) are nested in global climate models (GCMs). The objective of this work is to evaluate the Eta RCM simulations driven by three global models, the HadGEM2-ES, BESM, and MIROC5, for the present period, 1961-1990. The RCM domain covers South America, Central America, and Caribbean. These simulations will be used for assessment of climate change projections in the region. Maximum temperatures are generally underestimated in the domain, in particular by MIROC5 driven simulations, in summer and winter seasons. Larger spread among the simulations was found in the minimum temperatures, which showed mixed signs of errors. The spatial correlations of temperature simulations against the CRU observations show better agreement for the MIROC5 driven simulations. The nested simulations underestimate precipitation in large areas over the continent in austral summer, whereas in winter overestimate occurs in southern Amazonia, and underestimate in southern Brazil and eastern coast of Northeast Brazil. The annual cycle of the near-surface temperature is underestimated in all model simulations, in all regions in Brazil, and in most of the year. The temperature and precipitation frequency distributions reveal that the RCM and GCM simulations contain more extreme values than the CRU observations. Evaluations of the climatic extreme indicators show that in general hot days, warm nights, and heat waves are increasing in the period, in agreement with observations. The Eta simulations driven by HadGEM2-ES show wet trends in the period, whereas the Eta driven by BESM and by MIROC5 show trends for drier conditions.
机译:为了提供高分辨率的长期气候变化模拟,将区域气候模型(RCM)嵌套在全球气候模型(GCM)中。这项工作的目的是评估在1961-1990年这段时期内,由三种全球模型HadGEM2-ES,BESM和MIROC5驱动的Eta RCM模拟。 RCM域涵盖南美,中美洲和加勒比海。这些模拟将用于评估该地区的气候变化预测。通常在夏季和冬季,该领域的最高温度通常被低估,尤其是通过MIROC5驱动的模拟。在最低温度下,模拟之间的差异更大,这显示出错误的混合迹象。温度模拟与CRU观测值的空间相关性表明,对于MIROC5驱动的模拟而言,一致性更好。嵌套的模拟低估了夏季南方大陆大部分地区的降水,而冬季,高估发生在亚马逊地区南部,低估了巴西南部和巴西东北部东部沿海地区。在所有模型模拟中,在巴西所有地区和一年中的大部分时间里,近地表温度的年循环都被低估了。温度和降水频率分布表明,与CRU观测值相比,RCM和GCM模拟包含更多的极端值。对气候极端指标的评估表明,总体上炎热的白天,温暖的夜晚和热浪在此期间增加,与观测值一致。由HadGEM2-ES驱动的Eta模拟显示了这段时期的潮湿趋势,而由BESM和MIROC5驱动的Eta显​​示了干燥条件下的趋势。

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