Source Attribution of Windblown Dust: Impact on Air Quality

•  Joshi, J.R., 2021. Quantifying the impact of cropland wind erosion on air quality: A high-resolution modeling case study of an Arizona dust storm. Atmospheric Environment, 263, 118658.  https://doi.org/10.1016/j.atmosenv.2021.118658   (airborne/windblown dust from farmland or agricultural land)
  

Model Improvement (Several issues pointed out, some implied) 

•  Joshi, J.R., 2024. Dust model sensitivity to dust source mask, sandblasting efficiency, air density, and land use: Implications for model improvement. Atmospheric Pollution Research, 15, 102230. https://doi.org/10.1016/j.apr.2024.102230. check on google scholar for a pdf

Predictability: Short-range 

• Joshi, J. and Shukla, J., 2023. “Butterfly Effect” for dust storms. AGU Fall Meeting 2023.

 Predictability: Seasonal

•  Joshi, J., Shukla, J., Ginoux, P., Pu, B., da Silva, A.M., and Delworth, T.L., 2022. AMS 2022 (talk).
  Seasonal Variability & Predictability of Atmospheric Dustiness over the Western US [physics-informed statistical modeling]
  

Modeling and Predictability of Dust Storms and Atmospheric Dustiness Over the Western United States

•  Joshi, J., 2023 (Could be useful for literature review on dust, meteorology, and predictability. Please cite if found useful.)

Atmospheric Rivers

• Mitchell, A.K., DeFlorio, M.J., Subramanian, A.C., Berner, J., Joshi, J.R., Mastrantonas, N., Nash, D., and Scheftic, W., 2022. Subseasonal Predictions during the 2017 Oroville Dam Crisis: Role of Atmospheric Rivers and An­tecedent Synoptic Conditions. AMS 2022