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Impact of Initial Soil Temperature Derived from Remote Sensing and Numerical Weather Prediction Datasets on the Simulation of Extreme Heat Events

机译:遥感和数值天气预报数据集得出的初始土壤温度对极端高温事件模拟的影响

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摘要

Extreme heat weather events have received increasing attention and has become of special importance as they can remarkably affect sectors as diverse as public health, energy consumption, water resources, natural biodiversity and agricultural production. In this regard, summer temperatures have become a parameter of essential interest under a framework of a hypothetical increase in the number of intense-heat conditions. Thus, their forecast is a crucial aspect bearing in mind a mitigation of the effects and impacts that these intense-heat situations could produce. The current work tries to reach a better understanding of these sorts of situations that are really common over the Western Mediterranean coast. An extreme heat episode that took place in the Valencia Region in July 2009 is analysed, based on the simulations performed with the Regional Atmospheric Modeling System (RAMS). This event recorded maximum temperatures exceeding 40 °C amply extended over the region besides reaching minimum temperatures up to 25.92 °C. We examine the role of improved skin and soil temperature (ST) initial conditions in the forecast results by means of different modelling and satellite-derived products. The influence of incorporating the Land Surface Temperature (LST) into RAMS is not found to produce a meaningful impact on the simulation results, independently of the resolution of the dataset used in the initial conditions of the model. In contrast, the introduction of the ST in lower levels, not only the skin temperature, has a more marked decisive effect in the simulation. Additionally, we have evaluated the influence of increasing the number of soil levels to spread deeper underground. This sensitivity experiment has revealed that more soil levels do not produce any meaningful impact on the simulation compared to the original one. In any case, RAMS is able to properly capture the observed patterns in those cases where a Western advection is widely extended over the area of study. This region’s variability in orography and in distances to the sea promotes the development of sea-breeze circulations, thus producing a convergence of two opposite wind flows, a Western synoptic advection and a sea-breeze circulation. As a result, the RAMS skill in those cases where a sea breeze is well developed depends on the proper location of the boundary and convergence lines of these two flows.
机译:极端高温天气事件受到越来越多的关注,并已变得尤为重要,因为极端天气事件可以显着影响公共卫生,能源消耗,水资源,自然生物多样性和农业生产等各个部门。在这一点上,在假设高温条件下数量增加的框架下,夏季温度已成为至关重要的参数。因此,考虑到减轻这些高温环境可能产生的影响,他们的预测是至关重要的方面。当前的工作试图更好地理解西地中海沿岸确实常见的这类情况。基于使用区域大气建模系统(RAMS)进行的模拟,分析了2009年7月在瓦伦西亚地区发生的极端高温事件。该事件记录了超过40°C的最高温度,该区域除了达到最低温度25.92°C外,还充分扩展了该区域。我们通过不同的建模和卫星衍生产品来检验改善的皮肤和土壤温度(ST)初始条件在预测结果中的作用。没有发现将地表温度(LST)纳入RAMS的影响不会对模拟结果产生有意义的影响,而与模型初始条件中使用的数据集的分辨率无关。相反,在较低的水平(不仅是皮肤温度)引入ST在模拟中具有更明显的决定性作用。此外,我们评估了增加土壤水平数以扩展至更深的地下的影响。这项敏感性实验表明,与原始土壤相比,更多土壤水平不会对模拟产生任何有意义的影响。在任何情况下,在西方对流在研究领域广泛扩展的情况下,RAMS都能正确捕获观察到的模式。该地区的地形变化和与海的距离变化,促进了海风环流的发展,从而产生了两个相反的风流,西方的对流平流和海风环流的汇合。结果,在海风发达的情况下,RAMS技能取决于这两个流的边界和会聚线的正确位置。

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