My research focuses on studying how stubble burning aerosols affect ecosystem and air quality in Northern India.

The aim of my research is to improve our understanding of the role of Aerosol Cloud Interaction (ACI) in modulating climate dynamics. My focus is on analysing the spatiotemporal variability of ACI-induced radiative forcing and its associated climate response in the form of precipitation patterns, primarily using climate models. 

I investigate how the spatial distribution of SST changes influences tropical climate by analyzing how the SST structure affects climate feedbacks, which in turn modulate precipitation and atmospheric circulation over the tropics. By understanding the impact of SST patterns on tropical climate, I aim to reduce uncertainties in future climate projections in global as well as regional scales, ultimately contributing to more effective mitigation and adaptation planning.

I work on analysing precipitation under CMIP6 models focussing over the Indian landmass (along with the islands). The work involves statistical analysis of geospatial rainfall patterns in India under multiple climate scenarios. I predominantly compare rainfall data between geo engineered climate, pre-industrial climate and other pathways like SSP245 and SSP585. Characterising extreme rainfall events like wet spells and observing the their behaviour using Python libraries constitutes the technical aspect of my project. 

I have worked on aerosols in climate systems and am now studying stratospheric sulfate geoengineering, focusing on heat transport between hemispheres.

We use a future warming scenarios to analyze climate responses to extreme forcing compared to present-day and preindustrial climate. A key goal is to understand how changes in the pole-to-equator temperature gradient affect energy redistribution with global warming. 

My research examines aerosol forcing and its impact on surface temperature response, along with aerosol-cloud interactions. Aerosols influence Earth’s energy balance by directly scattering and absorbing radiation and indirectly modifying cloud properties. I analyze these effects using climate models and observational data to understand their role in temperature variability. 

I am working on identifying patterns of climate response to anthropogenic activities during the historical period using artificial intelligence (AI), and XAI methods.

My internship focused on analyzing modes of natural climate variability, including ENSO, PDO, NAO, IOD, and MJO, and impact of ENSO, PDO, NAO on All India Summer Monsoon Rainfall. Using time series analysis and correlation studies, I explored their relationships with AISMR trends.