Sai Krishnaveni

Employment

• National Atmospheric Research Laboratory Scientist
  2012 - Present

Education

• Andhra University M.Sc(Tech)
  2006 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Investigating the meteorological and aerosol influences on microphysical properties of warm and mixed-phase clouds: A machine learning framework
  Atmospheric Environment 2026 DOI: 10.1016/j.atmosenv.2026.122329
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• Nonlinear meteorological controls on coastal air quality along the Indian East Coast: Insights from a multi-city interpretable machine learning framework
  Environmental Pollution 2026 DOI: 10.1016/j.envpol.2026.128448
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• Advancing global aerosol classification: Source-compositional typology and variability from 30 years (1993–2024) of AERONET observations
  Science of The Total Environment 2025 DOI: 10.1016/j.scitotenv.2025.180918
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• Spatial, temporal features and influence of meteorology on PM2.5 and O3 association across urban and rural environments of India
  Atmospheric Environment X 2024 DOI: 10.1016/j.aeaoa.2024.100265
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• Aerosol classification using fuzzy clustering over a tropical rural site
  Atmospheric Research 2022 DOI: 10.1016/j.atmosres.2022.106518
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• Climatological aspects of size-resolved column aerosol optical properties over a rural site in the southern peninsular India
  Atmospheric Research 2021 DOI: 10.1016/j.atmosres.2020.105345
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• Phase-wise analysis of the COVID-19 lockdown impact on aerosol, radiation and trace gases and associated chemistry in a tropical rural environment
  Environmental Research 2021 DOI: 10.1016/j.envres.2020.110665
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• Geological evaluation of EIGEN-6C4 and GOCE derived gravity models in and around Karakoram shear zone, Leh, India
  Journal of the Geological Society of India 2017 DOI: 10.1007/s12594-017-0663-2
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• Reservoir capacity estimation using SARAL/AltiKa altimetry data coupled with Resourcesat P6-AWiFS and RISAT 1 microwave data
  Geocarto International 2017 DOI: 10.1080/10106049.2016.1188165
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• A Probabilistic Nonlinear Model for Forecasting Daily Water Level in Reservoir
  Water Resources Management 2016 DOI: 10.1007/s11269-016-1334-6
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