Grid sensitivity analysis for the calibration of a prognostic meteorological model in complex terrain by a screening experiment
Grid sensitivity analysis for the calibration of a prognostic meteorological model in complex terrain by a screening experiment
复制标题
DOI：
10.1016/j.envsoft.2005.09.010
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
S. Zoras;A. Triantafyllou;P. Hurley
中科院分区：
文献类型：
--
作者：
S. Zoras;A. Triantafyllou;P. Hurley
在这项研究中，我们提出了一种敏感性分析的应用，以确定一组重要的因素，这些因素允许在实验室模拟的预报气象模式的网格设置中进行校准。校准网格的使用对于重复程序至关重要，因为它保留了不必要的信息未处理，并不可避免地减少了运行时间。通过设计用于现场校准的“良好实践实验”，尝试识别和评估灵敏度、重要性和不确定度元素。基于一次一个因素的方法，使用不同网格大小和分辨率的因素来确定感兴趣区域的局部敏感性。总共进行了五次模拟，以进行旨在校准空气污染模型的网格配置研究。
In this study we present an application of a sensitivity analysis to identify a set of important factors that are allowed to be calibrated in the grid setup of a prognostic meteorological model for laboratory-based simulations. The use of a calibrated grid is of paramount importance for repeated procedures by leaving unnecessary information unprocessed and inevitably reducing run times. Identification and evaluation of sensitivity, importance and uncertainty elements is attempted by the design of a ‘good practice experiment’ for site-specific calibration. The factors of varied grid size and resolution, based on a one-factor-at-a-time approach, are used for the determination of local sensitivity in the area of interest. A total of five simulations was performed for a grid configuration study that aimed to calibrate The Air Pollution Model.