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Modelling Mediterranean heavy precipitation events at climate scale: an object-oriented evaluation of the CNRM-AROME convection-permitting regional climate model

机译:在气候规模上建模地中海沉重降水事件:对面向对象评价的CNRM-Arome对流允许区域气候模型

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Modelling the rare but high-impact Mediterranean Heavy Precipitation Events (HPEs) at climate scale remains a largely open scientific challenge. The issue is adressed here by running a 38-year-long continuous simulation of the CNRM-AROME Convection-Permitting Regional Climate Model (CP-RCM) at a 2.5 km horizontal resolution and over a large pan-Alpine domain. First, the simulation is evaluated through a basic Eulerian statistical approach via a comparison with selected high spatial and temporal resolution observational datasets. Northwestern Mediterranean fall extreme precipitation is correctly represented by CNRM-AROME at a daily scale and even better at an hourly scale, in terms of location, intensity, frequency and interannual variability, despite an underestimation of daily and hourly highest intensities above 200 mm/day and 40 mm/h, respectively. A comparison of the CP-RCM with its forcing convection-parameterised 12.5 km Regional Climate Model (RCM) demonstrates a clear added value for the CP-RCM, confirming previous studies. Secondly, an object-oriented Lagrangian approach is proposed with the implementation of a precipitating system detection and tracking algorithm, applied to the model and the reference COMEPHORE precipitation dataset for twenty fall seasons. Using French Mediterranean HPEs as objects, CNRM-AROME's ability to represent the main characteristics of fall convective systems and tracks is highlighted in terms of number, intensity, area, duration, velocity and severity. Further, the model is able to simulate long-lasting and severe extreme fall events similar to observations. However, it fails to reproduce the precipitating systems and tracks with the highest intensities (maximum intensities above 40 mm/h) well, and the model's tendency to overestimate the cell size increases with intensity.
机译:在气候规模的罕见但高局域网中沉重降水事件(HPE)造型仍然是一个很大程度上开放的科学挑战。这里通过运行38岁的CNRM-AROME对流允许区域气候模型(CP-RCM)以2.5 km水平分辨率和大型泛alpine域来展示该问题。首先,通过与所选的高空间和时间分辨率观察数据集进行比较来通过基本欧拉统计方法进行仿真。由于位置,强度,频率和年间可变性,西北地中海跌倒极端降水以每日规模正确地代表每日规模,甚至在每小时,甚至以每小时规模更好。尽管低于200毫米/天的每日和每小时最高强度,但在位置,强度,频率和际变化方面,甚至在每小时规模。分别为40毫米/小时。 CP-RCM与其迫使对流参数化12.5 km区域气候模型(RCM)的比较展示了CP-RCM的明确附加值,确认以前的研究。其次,利用沉淀系统检测和跟踪算法的实施方式提出了一种面向对象的拉格朗日方法,其应用于模型和参考Comephore降水数据集20个秋季。使用法国地中海HPE作为对象,CNRM-AROME代表秋季对流系统和轨道主要特征的能力在数量,强度,面积,持续时间,速度和严重程度方面都突出显示。此外,该模型能够模拟类似于观察的持久和严重的极端秋季事件。然而,它未能恢复具有最高强度的沉淀系统和曲目(高于40mm / h以上的最大强度),并且模型的高估细胞尺寸的趋势随着强度而增加。

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