Convective available potential energy (CAPE) is an indicator of the occurrence of extreme weather. For the first time over India, this study estimated CAPE from high spatial–temporal resolution measurements of the geostationary satellite, INSAT-3D. INSAT-3D estimates that CAPE reasonably represents the radiosonde CAPE. This study allows the atmospheric science community to select the best available dataset for their use in nowcasting and making severe weather warnings based on numerical models.

A new technique to separate cloud and non-hydrometeor returns from a cloud radar high-resolution reflectivity measurements is proposed. The TEST algorithm potentially identifies cloud height with the theoretical echo sensitivity curves and observed echo statistics for the cloud height tracing. TEST is more robust in identifying and filtering out the biota contributions by constraining further with spectral width and LDR measurements. This algorithm improves the monsoon cloud characterization.

The effect of atmospheric aerosols on cloud properties is not very well understood in the Indian region, especially over Western Ghats, which is influenced by natural and anthropogenic aerosols. Collocated measurements of aerosol and cloud properties were used to estimate aerosol indirect effects using two methods: one with cloud drop number concentration and the other with cloud droplet size. Discrepancy between both methods is discussed, and the necessity of dispersion offset is emphasized.