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首页> 外文期刊>Journal of hydrometeorology >Comparing Twentieth- and Twenty-First-Century Patterns of Interannual Precipitation Variability over the Western United States and Northern Mexico
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Comparing Twentieth- and Twenty-First-Century Patterns of Interannual Precipitation Variability over the Western United States and Northern Mexico

机译:比较美国西部和北墨西哥的20世纪和20世纪的年际降水变化模式

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摘要

The ability of coupled climate models to simulate the patterns of interannual precipitation variability over the western half of the United States and northern Mexico is investigated by applying principal component analysis to observations and model output. Global Precipitation Climatology Centre (GPCC) observations are compared to the pooled twentieth-century warm- and cold-season precipitation averages simulated by five coupled global climate models included in the Intergovernmental Panel on Climate Change Fourth Assessment Report. The pooled model spatial structures (EOFs) closely match those of the GPCC observations for both halves of the year. Additionally, the twenty-first-century model pooled EOFs are almost identical in spatial extent and amplitude to their twentieth-century counterparts. Thus, the spatial characteristics of largescale precipitation variability in the western United States are not projected to change in the twenty-first century. When global observed and modeled seasonally averaged sea surface temperature anomalies are correlated with the time series corresponding to the three leading EOFs to discern sources of each mode of precipitation variability, a pattern reminiscent of El Nin o is found to be the only significant association. The spatial structures of variability also appear independent of the model-predicted recipitation trend over the twenty-first century, indicating that the mechanisms responsible for the trend are different from those associated with interannual variability. The results of this study lend confidence in the pooled model predictions of seasonal precipitation patterns, and they suggest that future changes will primarily result from the contribution of the mean trend over which statistically stationary interannual variability is superimposed.
机译:通过将主成分分析应用于观测值和模型输出,研究了耦合气候模型模拟美国西部和墨西哥北部地区年际降水变化模式的能力。将全球降水气候中心(GPCC)的观测结果与政府间气候变化专门委员会第四次评估报告中包含的五种全球气候模型模拟的二十世纪暖季和冷季汇总降水平均值进行了比较。一年中的两半,集合模型空间结构(EOF)与GPCC观测的结构紧密匹配。此外,二十一世纪模型集合的EOF在空间范围和振幅上与二十世纪的EOF几乎相同。因此,预计美国西部大规模降水变化的空间特征不会在二十一世纪发生变化。当将全球观测和建模的季节性平均海表温度异常与对应于三个主要EOF的时间序列相关联以辨别每种降水变化模式的来源时,就会发现令人联想到El Nin o的模式是唯一的重要关联。可变性的空间结构也似乎独立于模型预测的二十一世纪的降水趋势,表明造成这种趋势的机制不同于与年际可变性相关的机制。这项研究的结果使人们对季节性降水模式的汇总模型预测充满信心,他们认为,未来的变化将主要是由于平均趋势的贡献所致,在该趋势上统计上的年际变化被叠加了。

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