ESTIMATING CONTRIBUTION OF WATER FLOW COMPONENTS TO KAMENG RIVER BASIN USING HYDROLOGICAL MODELLING

This study compares aerosol single scattering albedo data from two algorithms, CERES-MODIS and OMI, across different regions like forests, oceans, land, and deserts. It finds that CERES-MODIS tracks aerosol absorption more accurately, especially in areas with smoke and pollution. In clean regions, both algorithms perform similarly. The study helps scientists understand which satellite gives better data in different conditions, supporting improved climate and air quality research.

The South Asian Pollution Experiment 2018 used access to three strategically located receptor observatories. Observational constraints revealed opposing trends in the mass absorption cross sections of black carbon (BC MAC) and brown carbon (BrC MAC) during long-range transport. Models estimating the climate effects of BC aerosols may have underestimated the ambient BC MAC over distant receptor areas, leading to discrepancies in aerosol absorption predicted by observation-constrained models.

The South Asian Summer Monsoon (SASM) gets most of its moisture from the Bay of Bengal due to its proximity and high sea surface temperature (SST). While the mechanical relationship between Bay of Bengal SST and SASM rainfall is understood, short-term climate events like ENSO obscure this in modern records. This study shows the connection between Bay of Bengal SST and SASM rainfall during Interglacial and Last Glacial periods using millennial-scale data that excludes these short-term influences.

We present a 3D data set of aerosol black carbon over the Indian mainland by assimilating data from surface, aircraft, and balloon measurements, along with multi-satellite observations. Radiative transfer computations using height-resolved aerosol absorption show higher warming in the free troposphere and will have large implications for atmospheric stability. This data set will help reduce the uncertainty in aerosol radiative effects in climate model simulations over the Indian region.