NOAA's Atmospheric Composition from Space

Resources

In addition to these featured presentations and publications, NOAA's Center for Satellite Applications and Research (STAR) Aerosols and Atmospheric Composition Science Team also conducts training courses on aerosol, fire, and trace gas satellite products from ABI, VIIRS, and TROPOMI. More information on STAR Atmospheric Composition Product Training.

Workshops & Presentations

Publications

Frost, G.J., M. Kopacz, S. Kondragunta, R. Ahmadov, J. Al-Saadi, A. Andrews, C. Barnet, V. Breeze, J. Christopoulos, O. Cooper, A. Crawford, L. Flynn, A. Gaudel, C. Martin, B. McDonald, J. McQueen, F. Paulot, M. Pavolonis, I. Petropavlovskikh, R.B. Pierce, K.H. Rosenlof, R. Saylor, T. Schmit, I. Stajner, D. Stanitski, and J. Szykman, A value assessment of an atmospheric composition capability on the NOAA next-generation geostationary and extended orbits (GEO-EX) missions, NOAA Technical Report OAR CPO 8, doi:10.25923/1s4s-t405, 2020.

Zhou, M., J. Wang, X. Chen, X. Xu, P. R. Colarco, S. D. Miller, J. S. Reid, S. Kondragunta, D. M. Giles, and B. Holbe, Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations, Remote Sensing of Environment, doi:10.1016/j.rse.2021.112717, 2021.

Lu, Z., J. Wang, X. Xu, X. Chen, S. Kondragunta, O. Torres, E. M. Wilcox, and J. Zeng, Hourly mapping of the layer height of thick smoke plumes over the western U.S. in 2020 severe fire season, Frontiers in Remote Sensing, doi:10.3389/frsen.2021.766628, 2021.

Kondragunta, S., Z. Wei, B. C. McDonald, D. L. Goldberg, and D. Q. Tong, COVID-19 induced fingerprints of a new normal urban air quality in the United States, Journal of Geophysical Research: Atmospheres, doi:10.1029/2021JD034797, 2021.

Ciren, P. and S. Kondragunta, Chapter 22 - Heterogeneity of smoke from fires: Evaluation of VIIRS smoke detection using FIREX-AQ field campaign data, in Field Measurements for Passive Environmental Remote Sensing: Instrumentation, Intensive Campaigns, and Satellite Applications, edited by N. R. Nalli, Elsevier, 2022.

Huang, X., K. Yang, S. Kondragunta, Z. Wei, L. Valin, J. J. Szykman, and M. Goldberg, NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19, Atmospheric Environment, doi:10.1016/j.atmosenv.2022.119367, 2022.

Li, F., X. Zhang, S. Kondragunta, X. Liu, I. Csiszar, and C. Schmidt, Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications, Remote Sensing of Environment, doi:10.1016/j.rse.2022.113237, 2022.

Zhang, H., Z. Wei, B. Henderson, S. Anenberg, K. O'Dell, and S. Kondragunta, Nowcasting applications of geostationary satellite hourly surface PM2.5 data, Weather and Forecasting, doi:10.1175/WAF-D-22-0114.1, 2022.

Bednarz, E.M., A.H. Butler, D. Visioni, Y. Zhang, B. Kravitz, and D.G. MacMartin, Injection strategy - a driver of atmospheric circulation and ozone response to stratospheric aerosol geoengineering, Atmospheric Chemistry and Physics, doi:10.5194/acp-23-13665-2023, 2023.

Henry, M., J. Haywood, A. Jones, M. Dalvi, A. Wells, D. Visioni, E. Bednarz, D.G. MacMartin, W. Lee, and M.R. Tye, Comparison of UKESM1 and CESM2 simulations using the same multi-target stratospheric aerosol injection strategy, Atmospheric Chemistry and Physics, doi:10.5194/acp-23-13369-2023, 2023.

Lee, W.R., D. Visioni, E.M. Bednarz, D.G. MacMartin, B. Kravitz, and S. Tilmes, Quantifying the efficiency of stratospheric aerosol geoengineering at different altitudes, Geophysical Research Letters, doi:10.1029/2023GL104417, 2023.

Visioni, D., E.M. Bednarz, D.G. MacMartin, B. Kravitz, and P.B. Goddard, The choice of baseline period influences the assessments of the outcomes of Stratospheric Aerosol Injection, Earth's Future, doi:10.1029/2023EF003851, 2023.

Wei, J., J. Wang, Z. Li, S. Kondragunta, S. Anenberg, Y. Wang, H. Zhang, D. Diner, J. Hand, A. Lyapustin, and R. Kahn, 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, The Lancet Planetary Health, doi:10.1016/S2542-5196(23)00235-8, 2023.