量化能源应用的时段内天气变异性

Judith Gerighausen, Joshua Dorrington, Marisol Osman, Christian M. Grams
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引用次数: 0

摘要

天气模式是通过调节区域表层天气的几种环流状态来描述中纬度地区大尺度大气环流的。事实证明,对盛行天气区进行分季节预报是很有技巧的,对能源应用也很有价值。以往的研究主要集中在与某一系统相关的平均表面天气。然而,我们在本文中指出,一个天气区内的地表天气变化不容忽视。这些由同一物候的不同 "子物候 "引起的物候内部变化,可以通过连续的物候指数来捕捉,并允许对天气物候进行精细化应用。在这里,我们讨论了四个选定国家的冬季气温和风速系统异常,并为系统预报的业务使用和解释提供了指导。在随附的补充数据集中,我们提供了对所有欧洲国家、季节和主要能源变量的类似分析,可作为应用参考。
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Quantifying intra-regime weather variability for energy applications
Weather regimes describe the large-scale atmospheric circulation in the mid-latitudes in terms of a few circulation states that modulate regional surface weather. Subseasonal forecasts of prevailing weather regimes have proven skillful and valuable to energy applications. Previous studies have mainly focused on the mean surface weather associated with a regime. However, we show in this paper that variability of surface weather within a regime cannot be ignored. These intra-regime variations, caused by different `subflavors' of the same regime, can be captured by continuous regime indices and allow a refined application of weather regimes. Here we discuss wintertime temperature and wind speed regime anomalies for four selected countries, and provide guidance on the operational use and interpretation of regime forecasts. In an accompanying supplementary dataset we provide similar analysis for all European countries, seasons and key energy variables, useful as an applied reference.
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