Via large-scale circulations, the role of solar variability on the Indian summer monsoon is investigated. Standardized anomaly is used to identify years of solar maxima and minima. Statistical analysis such as moving mean, empirical mode decomposition, and wavelet analysis are used to determine the plausible relationship between solar variability, large scale circulations such as El- Niño 3.4 SST anomaly, Dipole Mode Index (DMI), and Atlantic Multidecadal Oscillation (AMO), and Indian summer monsoon rainfall (ISMR). In addition, the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP-NCAR) reanalysis data collection is used to assess time-averaged composite anomalies of wind, latent heat, geopotential height during maximum/minimum solar activity years.

The 31-years moving mean of DMI shows significant negative correlation (−0.35) with sunspot number and with 31-years moving mean ISMR (−0.28). Similarly, 31-years moving mean of AMO exhibits a substantial positive connection with ISMR (0.68) and Niño 3.4 SST shows significant negative correlation (−0.62) with ISMR. Using intrusive mode function analyses it has noted that India receives rainfall for both phase of solar forcing but from wind studies at 850 hPa and 200 hPa, it is found that the phenomena for ISMR is different during solar maximum and minimum conditions. During solar maximum, a strong Low Level Jet is observed, and during solar minimum, a strong Tropical Easterly Jet is observed. Also, the area of influences of ISMR is different for solar maximum and solar minimum. The mean difference plot of seasonal rainfall shows that during solar maximum, north India receives reasonable amount of rainfall however during solar minimum, south India receives comparatively more rainfall than north India. A weakening of the local Hadley cell during solar minima is also observed.

通过大规模环流，研究了太阳变率对印度夏季季风的作用。标准化异常用于识别太阳极大值和极小值的年份。移动平均值、经验模态分解和小波分析等统计分析用于确定太阳变率、厄尔尼诺 3.4 海温异常等大规模环流、偶极模指数 (DMI) 和大西洋多年代际振荡(AMO ) 之间的合理关系）和印度夏季季风降雨量（ISMR）。此外，国家环境预测中心/国家大气研究中心（NCEP-NCAR）再分析数据收集用于评估最大/最小太阳活动年份的风、潜热、位势高度的时间平均复合异常。

DMI 的 31 年移动平均值与太阳黑子数和 ISMR 的 31 年移动平均值（-0.28）呈显着负相关（-0.35）。同样，AMO 的 31 年移动平均值与 ISMR (0.68) 呈现显着正相关，Niño 3.4 SST 与 ISMR 呈现显着负相关 (-0.62)。使用侵入模态函数分析，我们注意到印度在太阳强迫的两个阶段都接收到降雨，但根据 850 hPa 和 200 hPa 的风研究，发现 ISMR 的现象在太阳极大值和极小值条件下是不同的。在太阳极大期，观测到强烈的低空急流，在太阳极小期，观测到强烈的热带东风急流。此外，ISMR 的影响范围对于太阳极大期和太阳极小期也是不同的。季节性降雨量的平均差图显示，在太阳活动极大期期间，印度北部的降雨量合理，但在太阳活动极小期期间，印度南部的降雨量相对较多。地方力量的削弱太阳极小期期间的哈德来环流圈也被观测到。