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首页> 外文期刊>Geo-marine letters >Statistical modeling of interannual shoreline change driven by North Atlantic climate variability spanning 2000-2014 in the Bay of Biscay
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Statistical modeling of interannual shoreline change driven by North Atlantic climate variability spanning 2000-2014 in the Bay of Biscay

机译:2000-2014年比斯开湾北大西洋气候变率驱动的年际海岸线变化统计模型

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Modeling studies addressing daily to interannual coastal evolution typically relate shoreline change with waves, currents and sediment transport through complex processes and feedbacks. For wave-dominated environments, the main driver (waves) is controlled by the regional atmospheric circulation. Here a simple weather regime-driven shoreline model is developed for a 15-year shoreline dataset (2000-2014) collected at Truc Vert beach, Bay of Biscay, SW France. In all, 16 weather regimes (four per season) are considered. The centroids and occurrences are computed using the ERA-40 and ERA-Interim reanalyses, applying k-means and EOF methods to the anomalies of the 500-hPa geopotential height over the North Atlantic Basin. The weather regime-driven shoreline model explains 70 of the observed interannual shoreline variability. The application of a proven wave-driven equilibrium shoreline model to the same period shows that both models have similar skills at the interannual scale. Relation between the weather regimes and the wave climate in the Bay of Biscay is investigated and the primary weather regimes impacting shoreline change are identified. For instance, the winter zonal regime characterized by a strengthening of the pressure gradient between the Iceland low and the Azores high is associated with high-energy wave conditions and is found to drive an increase in the shoreline erosion rate. The study demonstrates the predictability of interannual shoreline change from a limited number of weather regimes, which opens new perspectives for shoreline change modeling and encourages long-term shoreline monitoring programs.
机译:针对日向年际海岸演变的建模研究通常通过复杂的过程和反馈将海岸线变化与波浪、洋流和沉积物运输联系起来。对于以波浪为主的环境,主要驱动因素(波浪)由区域大气环流控制。在这里,为在法国西南部比斯开湾的Truc Vert海滩收集的15年海岸线数据集(2000-2014)开发了一个简单的天气状态驱动的海岸线模型。总共考虑了 16 种天气状况(每个季节 4 种)。使用ERA-40和ERA-Interim 再分析计算质心和点数,将 k 均值和 EOF 方法应用于北大西洋盆地上空 500 hPa 位势高度的异常。天气状态驱动的海岸线模型解释了70%的观测到的年际海岸线变化。将经过验证的波浪驱动平衡海岸线模型应用于同一时期,表明两种模式在年际尺度上具有相似的技能。研究了比斯开湾天气状况与波浪气候之间的关系,并确定了影响海岸线变化的主要天气状况。例如,以冰岛低气压和亚速尔群岛高压之间的压力梯度增强为特征的冬季地带性制度与高能波浪条件有关,并被发现推动了海岸线侵蚀速率的增加。该研究证明了有限数量的天气状况对年际海岸线变化的可预测性,这为海岸线变化建模开辟了新的视角,并鼓励了长期的海岸线监测计划。

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