Craig S. Schwartz

NSF National Center for Atmospheric Research

Papers

2

Total Citations

412

H-Index

2

About

Craig S. Schwartz is a leading figure in atmospheric science, specializing in aerosol data assimilation, air quality forecasting, and numerical weather prediction. His research centers on integrating satellite observations into chemical transport models to improve the accuracy of aerosol analyses and forecasts. Schwartz’s major contributions include pioneering the three-dimensional variational (3DVAR) assimilation of Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) into the National Centers for Environmental Prediction (NCEP) Gridpoint Statistical Interpolation (GSI) system. His seminal 2011 paper on this technique, which has garnered 288 citations, demonstrated significant improvements in simulating a major dust storm over East Asia. He further advanced the field by developing AOD assimilation for size-resolved sectional models, as detailed in his highly cited 2013 work (124 citations), which showed the value of observationally constrained, multi-wavelength retrievals for regional analyses and forecasts. Through these innovations, Schwartz has enhanced our ability to monitor and predict aerosol impacts on climate, visibility, and public health, solidifying his reputation as a key innovator in operational air quality modeling.

Research Focus

Key Achievements

2
H-Index
2
Papers
412
Total Citations
206
Avg Citations/Paper
🏆 Most Cited Paper
Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia
288 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: NSF National Center for Atmospheric Research

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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