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Convection-resolving precipitation forecasting and its predictability in Alpine river catchments

机译:高山流域对流降水预报及其可预报性

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Predictability limitations in quantitative precipitation forecasting arising from small-scale uncertainties in the initial conditions are investigated for Alpine river catchments, with particular consideration of their implications on hydrological runoff forecasting. To this end, convection-resolving ensembles of limited-area simulations are performed using a nonhydrostatic numerical weather prediction (NWP) model, and results are analysed in terms of catchment-averaged precipitation. The applied ensemble strategy uses slightly modified initial conditions representing observational uncertainties, but identical lateral boundary conditions representing a perfectly predictable synoptic-scale forcing. A total of four case studies is carried out for different synoptic conditions leading to heavy precipitation. Ensemble integrations of 12 members are analysed for 24-h forecasting periods, with particular attention paid to precipitation in the Po basin and in its sub-catchments in the Lago Maggiore area. The simulations exhibit a large variability in the predictability of precipitation amounts, both from case to case and from catchment to catchment. It is demonstrated for an episode of thermal convection, that the predictability may be very low even in large-scale catchments of similar to 50,000 kM(2). In more synoptically. dominated cases, predictability limitations appear to be restricted to catchments smaller than similar to 10,000 km(2), while in one case predictability is found to be high in catchments as small as 200 kM(2). Overall, the simulations show that precipitation forecasts for alpine river catchments may on occasions be critically affected by predictability limitations, even though the NWP model and the synoptic-scale forcing are assumed to be prefect. It is demonstrated that a substantial fraction of the predictability limitations is due to the scattered and unpredictable occurrence of convective cells, but the presence of convective precipitation alone does not necessarily limit predictability. It is also shown that the predictability is systematically higher in mountainous catchments. (C) 2003 Elsevier B.V. All rights reserved. [References: 45]
机译:对高山流域初始条件下的小规模不确定性引起的定量降水预报中的可预测性局限性进行了研究,并特别考虑了它们对水文径流预报的影响。为此,使用非静水数值天气预报(NWP)模型进行了有限区域模拟的对流解析集合,并根据集水平均降水量对结果进行了分析。应用的集成策略使用略有修改的表示观测不确定性的初始条件,但相同的横向边界条件则表示可完美预测的天气尺度强迫。针对导致大量降水的不同天气条件,总共进行了四个案例研究。对12个成员的集合积分进行了24小时的预测分析,尤其要注意Po盆地及其Lago Maggiore地区子流域的降水。这些模拟在不同案例之间以及不同集水区的降水量可预测性方面表现出很大的差异。对于热对流的事件表明,即使在集水量接近50,000 kM的大规模集水区中,可预测性也可能很低(2)。在更概括地说。在占主导地位的案例中,可预见性限制似乎仅限于小于10,000 km(2)的流域,而在一种情况下,可预见性在200 kM(2)小的流域中很高。总体而言,模拟表明,即使假定NWP模型和天气尺度强迫是最完美的,但可预测性限制有时仍可能严重影响高山流域的降水预报。结果表明,可预测性局限性的很大一部分是由于对流细胞的分散和不可预测的发生,但是仅对流沉淀的存在并不一定限制可预测性。研究还表明,山区流域的系统可预测性较高。 (C)2003 Elsevier B.V.保留所有权利。 [参考:45]

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