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About

Pravash Tiwari is an environmental remote sensing scientist whose research focuses on atmospheric aerosols, satellite retrieval algorithms, and their climatic and health impacts. His work addresses critical gaps in understanding aerosol optical properties, vertical transport, and long-term radiative effects, particularly in rapidly industrializing regions. Tiwari’s most cited study, “Uncertainty in Aqua-MODIS Aerosol Retrieval Algorithms During COVID-19 Lockdown” (2021, 13 citations), quantifies discrepancies among three satellite algorithms—dark target, deep blue, and MAIAC—revealing how reduced anthropogenic emissions during lockdowns challenge retrieval accuracy. In “Aloft Transport of Haze Aerosols to Xuzhou, Eastern China” (2022, 13 citations), he demonstrates that winter haze pollution in eastern China is significantly influenced by aerosol layers transported at higher altitudes, emphasizing the need for vertical profiling in air quality monitoring. His work “Long-Term Changes in Aerosol Loading and Observed Impacts on Radiative Budget over the Middle-East” (2021) links rapid urbanization to enhanced aerosol emissions and altered regional energy balance. With a growing citation record and contributions that bridge satellite validation, aerosol transport dynamics, and climate forcing, Tiwari’s research provides essential insights for improving aerosol retrieval algorithms and understanding pollution-driven climate interactions.