Impact of Soil Moisture Initialization in the Simulation of Indian Summer Monsoon Using RegCM4

Soil moisture is one of the key components land surface processes and a potential source atmospheric predictability that has received little attention in regional scale studies. In this study, an attempt was made to investigate impact soil on Indian summer monsoon simulation using model. We conducted seasonal simulations climate model (RegCM4) for two different years, viz., 2002 (deficit) 2011 (normal). The forced initialize with high-resolution satellite-derived data obtained from Climate Change Initiative (CCI) European Space Agency (ESA) by replacing default static moisture. Simulated results were validated against temperature rainfall analysis datasets India Meteorology Department (IMD). Careful examination revealed significant advancement RegCM4 when initialized ESA-CCI despite having biases. general, exhibited slightly higher than observation, ESA setup showed lower one. Model ability relatively better capturing distribution data. Rainfall biases over homogeneous regions significantly improved use Several statistical measures such as temporal correlation, standard deviation, equitable threat score (ETS), etc. also employed assessment. ETS values found be setup. However, still unable enhance its simulating variation adequately. Although initializing satellite performed normal year (2011) but had limitations epochs extreme (2002). Thus, study concluded although predicting variability. suggests initialization critical accurate prediction circulation convective activity.