%T基于观测和模型模拟数据的印度热指数比较研究%9文摘:据报道，“热浪”天气的发生在世界各地都在增加。这种极端高温天气的增加预计将导致人类的不适程度增加。此外，根据极端高温的严重程度和持续时间，还会造成工作时间的损失、对健康的不利影响和死亡。众所周知，从气象学上讲，引起人类不适的不仅仅是温度的上升。温度加上高湿度，低风和不透水的衣服是不舒服的主要原因。最重要的是，在这些不利条件下进行的体育活动的类型是决定一个人所遇到的压力和紧张的重要因素之一。几个科学家对生物气象学进行了一个多世纪的研究，并开发了一些热量指数，以量化他们工作环境中的不适或热压力水平。今天，观测到的气象参数和相应的模式输出可从多个来源免费获得，可用于估计任何地点的热指数值。在这方面，动态和统计降尺度方法都非常有用。在这项研究中，使用印度气象部门(IMD) 1975年至2005年期间的每日观测参数，计算了德里、孟买、金奈和加尔各答四个主要城市的一些常用热指数。 Same indices are also calculated based on the simulated values from the Regional Climate Model (RegCM) of the Abdus Salam International Centre for Theoretical Physics (ICTP) over the same period. The RegCM simulated fields have been obtained from the COordinated Regional Downscaling EXperiments (CORDEX) over the South Asia domain. Comparison of characteristics of the four selected indices based on IMD observed data and RegCM simulations leads to the inference that there are several similarities between the two sets of data in terms of their annual cycles and inter-annual variations. This exercise conclusively shows the advantages of dynamical downscaling. Further, results of this study encourage for a comprehensive work in the future for the country wide mapping and projection of heat indices based on model simulations, development of suitable heat indices and classification of comfort classes for their use in warning system for human health related issues in India. %0 - Journal Article %I - %@ - 0125-895