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Modeling seasonal variations of extreme rainfall on different timescales in Germany

机译:德国极端降水在不同时间尺度上的季节性变化建模

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We model monthly precipitation maxima at 132 stations in Germany for a wide range of durations from 1 min to about 6 d using a duration-dependent generalized extreme value (d-GEV) distribution with monthly varying parameters. This allows for the estimation of both monthly and annual intensity–duration–frequency (IDF) curves: (1) the monthly IDF curves of the summer months exhibit a more rapid decrease of intensity with duration, as well as higher intensities for short durations than the IDF curves for the remaining months of the year. Thus, when short convective extreme events occur, they are very likely to occur in summer everywhere in Germany. In contrast, extreme events with a duration of several hours up to about 1 d are conditionally more likely to occur within a longer period or even spread throughout the whole year, depending on the station. There are major differences within Germany with respect to the months in which long-lasting stratiform extreme events are more likely to occur. At some stations the IDF curves (for a given quantile) for different months intersect. The meteorological interpretation of this intersection is that the season in which a certain extreme event is most likely to occur shifts from summer towards autumn or winter for longer durations. (2) We compare the annual IDF curves resulting from the monthly model with those estimated conventionally, that is, based on modeling annual maxima. We find that adding information in the form of smooth variations during the year leads to a considerable reduction of uncertainties. We additionally observe that at some stations, the annual IDF curves obtained by modeling monthly maxima deviate from the assumption of scale invariance, resulting in a flattening in the slope of the IDF curves for long durations.
机译:我们使用具有月变化参数的持续时间依赖性广义极值 (d-GEV) 分布,模拟了德国 132 个站点的月降水量最大值,持续时间从 1 分钟到约 6 天不等。这允许估计月度和年度强度-持续时间-频率 (IDF) 曲线:(1) 夏季月份的月度 IDF 曲线表现出强度随持续时间下降的速度更快,并且比一年中剩余月份的 IDF 曲线在短时间内表现出更高的强度。因此,当短对流极端事件发生时,它们很可能发生在德国各地的夏季。相比之下,持续时间从几小时到约1天的极端事件有条件地更有可能在较长的时间内发生,甚至蔓延到全年,具体取决于站点。德国内部在长期层状极端事件更有可能发生的月份方面存在重大差异。在某些站点,不同月份的IDF曲线(对于给定的分位数)相交。对这个交叉点的气象学解释是,最有可能发生某种极端事件的季节从夏季向秋季或冬季转移,持续时间更长。(2)将月度模型得出的年度IDF曲线与常规估计的IDF曲线进行比较,即基于建模的年度最大值。我们发现,在一年中以平滑变化的形式添加信息可以大大减少不确定性。此外,我们还观察到,在一些站点,通过模拟月最大值获得的年度IDF曲线偏离了尺度不变性的假设,导致IDF曲线的斜率在很长一段时间内趋于平坦。

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