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首页> 外文期刊>Australian Meteorological Magazine >A re-examination of the synoptic and mesoscale meteorology of Ash Wednesday 1983
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A re-examination of the synoptic and mesoscale meteorology of Ash Wednesday 1983

机译:1983年星期三Ash的天气和中尺度气象学的再研究

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摘要

The fires on Ash Wednesday 1983 were some of the most destructive in Australia's history, with 75 lives lost, more than 2000 houses and 335 000 ha of rural land burnt, and more than 250 000 head of stock lost. Using archived objective analyses from the Australian National Meteorological Centre, the National Centre for Environmental Prediction (NCEP) reanalysis dataset, and a contemporary operational mesoscale numerical weather prediction model, the predictability and the dynamics of the wind structures over Victoria on that day are investigated, and a 40-year analysis archive used to assess just how meteorologically unusual the event was. It is shown that using the archived analyses to provide the initial state, and analysis lateral boundary conditions, that the timing of the wind change could be forecast extremely accurately. The strong post-frontal winds are shown to be associated with an unusually deep tropospheric trough system, and an analysis of 40 years of summer data from the NCEP reanalyses shows this system was in the strongest 0.1 per cent as measured by the intensity of the 850 hPa temperature gradient over Victoria. It is further shown that many of the other extreme fire weather events in that period were also associated with similarly unusually strong temperature gradients at 850 hPa, suggesting that this parameter has the potential to identify unusually severe fire weather events in medium-range, seasonal, and climate change numerical model forecasts.
机译:1983年星期三Ash发生的大火是澳大利亚历史上最具破坏性的火灾,造成75人丧生,超过2000栋房屋和33.5万公顷农村土地被烧毁,并失去了25万头牲畜。利用澳大利亚国家气象中心的归档客观分析,国家环境预测中心(NCEP)的再分析数据集和当代的中尺度数值天气预报模型,研究了当天维多利亚州风结构的可预测性和动态,还有一个长达40年的分析档案,用于评估该事件在气象上的异常程度。结果表明,使用存档分析提供初始状态,并分析横向边界条件,可以非常准确地预测风的变化时间。强烈的后锋风被证明与异常深的对流层低谷系统有关,对来自NCEP重新分析的40年夏季数据的分析表明,以850的强度衡量,该系统最强的为0.1%。维多利亚州的hPa温度梯度。进一步表明,在此期间,许多其他极端火灾天气事件也与850 hPa处异常强的温度梯度相关,这表明该参数有可能识别中等程度,季节性,和气候变化数值模型预测。

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