当前的世界环境

据报道，世界不同地区的“热波”条件的发生在越来越多。预计热极端的这种增加会导致人类对人类的不适程度增加。此外，根据热极端的严重程度和持续时间，失去工作时间，不利的健康影响和死亡。众所周知，天气学上，它不仅仅是导致人类不适的温度升高。温度耦合高湿度，低风和渗透衣服形成了不适的主要原因。最重要的是，在这些不利条件下进行的体育活动类型是决定一个人遇到的压力和应变的重要因素之一。对生物气象学的研究已经由几个世纪的几个科学家进行，并且已经开发了许多热索引，其量化了其工作环境中的不适或热应力水平。如今，观察到的气象参数以及相应的模型输出可从多个来源自由获得，可用于估计任何位置的热索引的值。动态和统计缩小方法都在这方面非常有用。在这项研究中，一些常用的热索引已经为德里，孟买，钦奈和加尔各答的四个主要城市计算了1975年至2005年的印度气象部门（IMD）的日常观察参数。同样的指标也是如此 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.