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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >A reanalysis climatology of cool-season tornado environments over southern Australia
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A reanalysis climatology of cool-season tornado environments over southern Australia

机译:澳大利亚南部凉季龙卷风环境的重新分析气候学

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It is of great interest to assess the likely changes in occurrence of extreme weather events such as those associated with severe convective storms in future (changed) climates. However, while events such as tornadoes cannot be resolved by climate models, or even the higher-resolution operational numerical weather prediction (NWP) models, it has been shown that some of the environments in which they occur can be predicted. In Australia, the so-called cool-season tornado (CST) environment is defined as the area where the forecast 700 hPa Surface Lifted Index and the surface to I-km vertical wind shear exceed specified thresholds. CST threat area forecasts are issued with each operational mesoscale NWP forecast by the Australian Bureau of Meteorology. In this paper, the application of this diagnostic indicator of CST occurrence to typical climate model resolutions is tested using the NCEP/NCAR and ERA-40 reanalysis data sets. The techniques used to apply the diagnostic to these data sets are described, together with the calibration necessary to specify separate thresholds for each analysis set. Using these thresholds 40-year climatologies of CST risk over Australia are constructed for each reanalysis data set. It is shown that the two data sets indicate very similar spatial distributions of risk. Trends in frequency of occurrence are problematic, with significant discontinuities in frequency after the introduction of satellite sounding data in 1979, with an increased frequency, but little trend in numbers, of CST environments since that time. Relating inter-annual variations in the frequency of CST environments to large-scale circulation indices show little relation with regional sea surface temperature anomalies or with the Southern Oscillation Index, but showed significant negative correlation with the Southern Annular Mode Index.
机译:评估极端天气事件(例如与未来(变化的)气候中的强对流风暴相关的极端天气事件)发生的可能变化非常重要。但是,尽管诸如龙卷风之类的事件无法通过气候模型甚至是更高分辨率的数值天气预报(NWP)模型来解决,但事实表明,可以预测发生这些事件的某些环境。在澳大利亚,所谓的冷季龙卷风(CST)环境被定义为预报的700 hPa表面升力指数和地表至I公里垂直风切变超过指定阈值的区域。澳大利亚气象局随每项中尺度NWP预报发布CST威胁区域预报。在本文中,使用NCEP / NCAR和ERA-40重新分析数据集测试了这种CST发生诊断指标在典型气候模型分辨率中的应用。描述了将诊断应用于这些数据集的技术,以及为每个分析集指定单独阈值所需的校准。使用这些阈值,为每个重新分析数据集构建了澳大利亚CST风险的40年气候。结果表明,这两个数据集表明风险的空间分布非常相似。发生频率的趋势是有问题的,自1979年引入卫星探测数据以来,频率出现了明显的不连续性,自那时以来,CST环境的频率增加了,但数量趋势却很小。将CST环境频率的年际变化与大规模环流指数联系起来,显示与区域海表温度异常或与南方涛动指数的关系不大,但与南方环形模态指数却表现出显着的负相关。

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