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Environmental Sciences

D-Index
44
Citations
5858
World Ranking
6870
National Ranking
2445

Overview

Shobha Kondragunta is affiliated with the National Oceanic and Atmospheric Administration in the United States. Their research focuses primarily on Environmental Science and Earth and Planetary Sciences, with a significant body of work in subfields such as Global and Planetary Change, Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, and Aerospace Engineering.

The scientist's research topics are diverse but primarily centered around atmospheric and environmental dynamics. Key topics include:

  • Atmospheric chemistry and aerosols
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric aerosols and clouds
  • Fire effects on ecosystems
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Atmospheric Ozone and Climate

Shobha Kondragunta has contributed numerous papers to a variety of scientific journals and publications. Recent papers include:

  • Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study, 2023, The Lancet Planetary Health
  • Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record-Breaking Wildfire Season in the United States, 2021, Geophysical Research Letters
  • Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire, 2021, Atmospheric chemistry and physics
  • First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates, 2021, Remote Sensing of Environment
  • Examining the Economic and Environmental Impacts of COVID-19 Using Earth Observation Data, 2020, Remote Sensing

Their most frequent publication venues include:

  • Bulletin of the American Meteorological Society
  • Journal of Geophysical Research Atmospheres
  • Atmospheric chemistry and physics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing of Environment

Collaborations are a significant aspect of Kondragunta's research career. The most frequent co-authors are:

  • Xiaoyang Zhang
  • Fangjun Li
  • Daniel Tong
  • Rick Saylor
  • Jun Wang

Best Publications

  • The Impact of Aerosols on Solar Ultraviolet Radiation and Photochemical Smog

    R. R. Dickerson;S. Kondragunta;S. Kondragunta;G. Stenchikov;G. Stenchikov;K. L. Civerolo;K. L. Civerolo

  • Suomi‐NPP VIIRS aerosol algorithms and data products

    John M. Jackson;Hongqing Liu;Hongqing Liu;Istvan Laszlo;Istvan Laszlo;Shobha Kondragunta

  • Description and Verification of the NOAA Smoke Forecasting System: The 2007 Fire Season

    Glenn D. Rolph;Roland R. Draxler;Ariel F. Stein;Albion Taylor

  • Spatiotemporal Associations between GOES Aerosol Optical Depth Retrievals and Ground-Level PM2.5

    Christopher J. Paciorek;Yang Liu;Hortensia Moreno-Macias;Shobha Kondragunta

  • Preliminary evaluation of S-NPP VIIRS aerosol optical thickness

    Hongqing Liu;Hongqing Liu;Lorraine A. Remer;Jingfeng Huang;Jingfeng Huang;Ho Chun Huang;Ho Chun Huang

  • Near-Real-Time Global Biomass Burning Emissions Product from Geostationary Satellite Constellation

    Xiaoyang Zhang;Xiaoyang Zhang;Shobha Kondragunta;Jessica Ram;Christopher Schmidt

  • Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance

    K. R. Knapp;R. Frouin;S. Kondragunta;A. Prados

  • Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia

    Q. Xiao;H. Zhang;M. Choi;S. Li

  • Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations

    Fangjun Li;Xiaoyang Zhang;Shobha Kondragunta;Ivan Csiszar

  • Estimating forest biomass in the USA using generalized allometric models and MODIS land products

    Xiaoyang Zhang;Shobha Kondragunta

  • Near real time monitoring of biomass burning particulate emissions (PM2.5) across contiguous United States using multiple satellite instruments

    Xiaoyang Zhang;Shobha Kondragunta;Christopher Schmidt;Felix Kogan

  • Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data

    Jassim A. Al-Saadi;Amber Jeanine Soja;Robert Bradley Pierce;James J. Szykman

  • Validation and expected error estimation of Suomi-NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET

    Jingfeng Huang;Jingfeng Huang;Shobha Kondragunta;Istvan Laszlo;Istvan Laszlo;Hongqing Liu;Hongqing Liu

  • Long-term mortality burden trends attributed to black carbon and PM2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.

    Unknown

  • GOES Aerosol/Smoke Product (GASP) over North America: Comparisons to AERONET and MODIS observations

    Ana I. Prados;Shobha Kondragunta;Pubu Ciren;Kenneth R. Knapp

  • Sensitivity of mesoscale modeling of smoke direct radiative effect to the emission inventory: a case study in northern sub-Saharan African region

    Feng Zhang;Feng Zhang;Jun Wang;Charles Ichoku;Edward J. Hyer

  • Comparison of GOES and MODIS Aerosol Optical Depth (AOD) to Aerosol Robotic Network (AERONET) AOD and IMPROVE PM2.5 Mass at Bondville, Illinois

    Mark Green;Shobha Kondragunta;Pubu Ciren;Chuanyu Xu

  • Development and analysis of a 12-year daily 1-km forest fire dataset across North America from NOAA/AVHRR data

    Ruiliang Pu;Ruiliang Pu;Zhanqing Li;Peng Gong;Ivan Csiszar

  • Estimation of biomass-burning emissions by fusing the fire radiative power retrievals from polar-orbiting and geostationary satellites across the conterminous United States

    Fangjun Li;Xiaoyang Zhang;David P. Roy;Shobha Kondragunta

  • Temporal and spatial variability in biomass burned areas across the USA derived from the GOES fire product

    Xiaoyang Zhang;Shobha Kondragunta

  • NAQFC Developmental Forecast Guidance for Fine Particulate Matter (PM2.5)

    Pius Lee;Pius Lee;Jeffery McQueen;Ivanka Stajner;Jianping Huang

  • Stratosphere‐troposphere exchange in a midlatitude mesoscale convective complex: 2. Numerical simulations

    G. Stenchikov;R. Dickerson;K. Pickering;W. Ellis

  • Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm through Intercomparison with VIIRS Aerosol Products and AERONET.

    Stephen D. Superczynski;Shobha Kondragunta;Alexei I. Lyapustin

Frequent Co-Authors

Xiaoyang Zhang
Xiaoyang Zhang South Dakota State University
Istvan Laszlo
Istvan Laszlo National Oceanic and Atmospheric Administration
Daniel Tong
Daniel Tong George Mason University
Ravan Ahmadov
Ravan Ahmadov National Oceanic and Atmospheric Administration
Raymond M. Hoff
Raymond M. Hoff University of Maryland, Baltimore County
Georg A. Grell
Georg A. Grell National Oceanic and Atmospheric Administration
Stuart A. McKeen
Stuart A. McKeen National Oceanic and Atmospheric Administration
Alexei Lyapustin
Alexei Lyapustin Goddard Space Flight Center
Ivan Csiszar
Ivan Csiszar National Oceanic and Atmospheric Administration
Youhua Tang
Youhua Tang George Mason University

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