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Exploring the ability of the WRF-ARW atmospheric model to simulate different meteorological conditions in Greece

机译:探讨WRF-ARW大气模型模拟希腊不同气象条件的能力

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Studies on climate change reveal as its main consequence the mean global temperature rise, as well as the increase of extreme weather events frequency and intensity. The latter are more frequently occurring worldwide over the last years and are becoming of great concern due to their strong societal and economic impacts. The best possible simulation of such events resembling reality and hence, the improvement of their predictability are very important milestones to the scientific community so as to limit down the impact of the related hazards. The WRF-ARW atmospheric model was employed to simulate different meteorological conditions in the framework of compiling a computational approach to forecast and study extremes for risk assessment at country level and particularly in Greece. Firstly, the extra-tropical cyclone (Cleopatra), in November 2013, was investigated with a number of sensitivity tests: a "chemistry including setup" of the WRF model, then the same configuration with the "chemistry" option deactivated and finally, a 3-nest setup with 1-way and 2-way nesting. The follow up of these studies provided the optimum model setup that was the 1-way nesting, which was used afterwards to simulate an extreme hot weather event that occurred in June 2007. Moreover, we examined the performance of this resolved WRF setup for a usual low-pressure system that affected Greece in September 2015. In these studies, NCEP FNL analyses data were used for model input. The main meteorological variables were analyzed and the evaluation of the results was performed with comparisons against in-situ measurements by the network of the Hellenic National Meteorological Service (HNMS) stations. The comparisons showed, in general, very good agreement between the model temperature fields and observations in all test cases. The 3-nest setup with 1-way nesting approach provided high quality prediction of the temperature fields locally at high resolution in the cases of the simulated extreme events. The model behaviour differed between the simulations of the two extreme events and the usual-low pressure system in the calculation of the precipitation variable, particularly over the areas of complex topography. Overall, the model configuration of 1-way nesting proved to be a useful modelling approach for studying and forecasting such events in an attempt to limit down their consequences.
机译:气候变化研究显示其主要后果平均全球温度升高,以及极端天气事件频率和强度的增加。后者在过去几年中更频繁地发生在全球范围内,并且由于其强大的社会和经济影响而变得非常关注。最佳模拟类似现实的事件,因此,他们的可预测性的提高是科学界的重要里程碑,以限制相关危害的影响。 WRF-ARW大气模型用于模拟编制计算方法的框架中的不同气象条件,并在乡村一级风险评估中进行危险评估。首先,通过多种敏感性测试研究了额外热带旋风(克里奥帕特拉):“化学包括”WRF模型的“化学”,那么与“化学”选项相同的配置,最后,a用1路和双向嵌套的3嵌套设置。这些研究的后续服务提供了最佳模型设置,这是单向嵌套,之后用于模拟2007年6月发生的极端炎热的天气事件。此外,我们检查了这种已解决的WRF设置的绩效2015年9月影响希腊的低压系统。在这些研究中,NCEP FNL分析数据用于模型输入。分析了主要的气象变量,并通过与希腊国家气象服务(HNMS)站网络的原位测量进行了比较进行了评价。比较展示了一般来说,在所有测试用例中的模型温度场和观测结果之间非常良好。在模拟极端事件的情况下,具有单向嵌套方法的3-Nest设置提供了高分辨率的高质量预测。模型行为在计算沉淀变量的计算中的两个极端事件和通常的低压系统之间的模拟行为不同,特别是在复杂地形的区域上。总的来说,单向嵌套的模型配置被证明是一种用于研究和预测此类事件的有用建模方法,试图限制其后果。

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