This paper presents a relationship of lightning activity with maximum air temperature, Bowen ratio, rainfall, cloud ice contents and Aerosol Optical Depth (AOD) over India during transition period from dry to wet seasons. Lightning flash count data and weather parameters are retrieved from the Tropical Rainfall Measuring Mission (Lightning Imaging Sensor - LIS) and the Moderate Resolution Imaging Spectroradiometer (MODIS) satellites for the period of 17 years (1998–2014). The Pearson correlation between lightning flash count and Bowen ratio is found to be coefficient of R = 0.95 for both dry and wet seasons. For dry season, the Pearson correlation of lightning flash count with surface maximum air temperature is found to be coefficient of R = 0.97 whereas, that for wet season negative coefficient of R = −0.89. The comparative analysis of Pearson correlations of lightning flash counts with AOD, rainfall and cloud ice content are found to be coefficients higher by 20%, 28% and 34% for dry season than those of during wet season, respectively. The results of lightning activity and weather parameters in comparative analyses over the Indian region may be useful for better understanding the differential convection characteristics during transition period of dry to wet season. The results are also important for estimations of impact associated with lightning strikes to ground during dry and wet seasons.

本文提出了印度从旱季到雨季过渡期的闪电活动与最高气温，鲍恩比，降雨，云冰含量和气溶胶光学深度（AOD）的关系。从热带雨量测量任务（闪电成像传感器-LIS）和中等分辨率成像光谱仪（MODIS）卫星中检索了17年（1998-2014年）的闪电计数数据和天气参数。发现在干燥季节和潮湿季节，雷击次数与鲍文比之间的皮尔逊相关系数均为R = 0.95。对于旱季，雷击次数与表面最高气温的皮尔逊相关系数为R = 0.97，而在雨季为负系数R = -0.89。闪电数量与AOD，降雨和云冰含量的Pearson相关性的比较分析发现，旱季的系数分别比雨季的系数高20％，28％和34％。在印度地区进行的比较分析中，雷电活动和天气参数的结果可能有助于更好地了解旱季到雨季过渡期间的对流特性。该结果对于估计与干旱和潮湿季节的雷击地面相关的影响也很重要。在印度地区进行的比较分析中，雷电活动和天气参数的结果可能有助于更好地了解旱季到雨季过渡期间的对流特性。该结果对于估计与干旱和潮湿季节的雷击地面相关的影响也很重要。在印度地区进行的比较分析中，雷电活动和天气参数的结果可能有助于更好地了解旱季到雨季过渡期间的对流特性。该结果对于估计与干旱和潮湿季节的雷击地面相关的影响也很重要。