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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Mapping seasonal and annual extreme precipitation over the Peruvian Andes
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Mapping seasonal and annual extreme precipitation over the Peruvian Andes

机译:在秘鲁和秘鲁和秘鲁andes映射季节性和年度极端降水

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摘要

Seasonal and annual extreme precipitation over the Peruvian Andes have been mapped for the first time. Maps were developed using the most complete, quality-controlled and homogenous daily precipitation records in Peru from 1973 to 2016. For each observed rain gauge series, we defined parameters as the de-clustered daily intensity, total precipitation duration, total magnitude and dry-spell length. Then, we fitted the seasonal and annual series of these variables to a Generalized-Pareto distribution using a peak-over-threshold approach. We estimated the distribution parameters and validated the performance of different thresholds to obtain the best estimation of precipitation probability. We also mapped the distribution parameters obtained for the different meteorological stations using the universal kriging algorithm, accounting for elevation and the distance to the Pacific Ocean as co-variables. The accuracy of the extreme precipitation maps for a period of 25 and 50 years were validated using a jack-knife approach. Some of the maps show strong uncertainty given the random spatial distribution of the variables as a consequence of the complex topography and climate of the region. Nevertheless, the maps show a useful general assessment of the spatial distribution of the precipitation hazard probability over the region, providing a good agreement with the estimations obtained in the meteorological stations for some variables and time periods analysed. Extreme precipitation maps over this high-complex terrain of Peru are of key importance for flood risk assessment, water resources management, crop yield, soil conservation and human settlements.
机译:在秘鲁和秘鲁和年度极端降水是第一次映射的。从1973年到2016年秘鲁的最完整,质量控制和均匀的每日降水记录开发了地图。对于每个观察到的雨量仪系列,我们将参数定义为脱簇日常强度,总降水持续时间,总幅度和干燥 - 法术长度。然后,我们使用峰值过阈值方法将这些变量的季节性和年度系列术语拟合到广义普通的分布。我们估计分布参数并验证了不同阈值的性能,以获得降水概率的最佳估计。我们还使用通用Kriging算法映射了不同气象站获得的分布参数,占抬高和与太平洋的距离作为共变量。使用千斤顶刀方法验证了25岁和50年的极端降水图的准确性。考虑到该地区复杂地形和气候的变量随机空间分布,一些地图显示出强烈的不确定性。尽管如此,地图显示了对该区域降水危险概率的空间分布的有用评估,提供了与分析的一些变量和时间段中的气象站中获得的估计吻合良好。在秘鲁的这种高度复杂地形上的极端降水图对于洪水风险评估,水资源管理,作物产量,土壤保护和人类定居点具有重要意义。

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