DRI / DIRECTORY / RAHELE BARJESTE VAEZI
Rahele Barjeste Vaezi Profile Photo
Rahele Barjeste Vaezi [She/Her]
Graduate Research Assistant, PhD program
E-Mail 
Rahele.BarjesteVaezi@dri.edu
Campus 
Reno Campus
Division 
Atmospheric Sciences

  • Vaezi, B. R., Nolin, A., 2023: Navigating Risks and Adapting to Climate Challenges, 2023: University of Nevada, Reno(UNR), November 30, 2023, Reno, NV.
  • Vaezi, B. R., Hosseinpour, F., 2023: Wildfire Smoke: Emission and Transport Research and Ashfall Citizen Science, 2023: Osher Lifelong Learning Institute (OLLI), November 09, 2023, Reno, NV.
  • Vaezi, B. R., Hosseinpour, F., 2023: Investigating the Relationships between Wildfires and Regional Climate in the Western U.S., 2023: Division of Atmospheric Sciences Graduate Students Science Talks, Desert Research Institute (DRI), October 24, 2023, Reno, NV.
  • Vaezi, B. R., Hosseinpour, F., 2023: Investigating Emission and Smoke Transport of Wildfires in the Western US, Truckee Meadows Community College (TMCC), October 18, 2023, Reno, NV.
  • Vaezi, B. R., Hosseinpour, F., 2023: Wildfire Emissions and Predictions in the Western US, Reno Rotary Club, September 25, 2023, Reno, NV.
  • Vaezi, B. R., Hosseinpour, F., 2023: Predictability of Wildfire Emissions and Transport in the Western US, Truckee Meadows Community College (TMCC), September 19, 2023, Reno, NV.

Keywords

Wildfire smoke transport and prediction, Machine Learning, Remote Sensing, Data Analysis, Aerosol-Cloud Interactions, Air pollution, and Climate change

 

Conference Proceedings
2024
Mehdizadeh, G., Hosseinpour, F. E., Nia, M., Barjeste Vaezi, R., Erfani, E., McDonough, F. (2024). Cloud Seeding Effects on Snowfall: Insights from Microphysical Model and Satellite Remote Sensing. American Meteorological Society (AMS) Annual Meeting: Baltimore, MD, January 28, 2024-February 1, 2024, http://doi.org/10.13140/RG.2.2.36071.83369

Nia, M., Mehdizadeh, G., Barjeste Vaezi, R., Erfani, E., Hosseinpour, F. E. (2024). Predictive Modeling in Environmental Science with Machine Learning Algorithms. American Meteorological Society (AMS) Annual Meeting: Baltimore, MD, January 28, 2024-February 1, 2024, http://dx.doi.org/10.13140/RG.2.2.18875.18729/1

Barjeste Vaezi, R., Mehdizadeh, G., Nia, M., Hosseinpour, F. E. (2024). Machine Learning Approach for Enhanced Understanding of California’s Wildfire Smoke. American Meteorological Society (AMS) Annual Meeting: Baltimore, MD, January 28, 2024-February 1, 2024, http://dx.doi.org/10.13140/RG.2.2.23069.49120