Hi :)

About me

I am a meteorologist, with extensive experience in air pollution, atmospheric and climate sciences. I am dedicated to applying scientific research to develop impactful solutions for sustainable living.

I graduated from the University of Hormozgan, Iran. My Ph.D. dissertation encompassed several key projects. I conducted an in-depth analysis of factors influencing NOx concentration during high pollution episodes in Tehran Metropolitan using the WRF-Chem model. Given Tehran’s complex topography, the study provided valuable insights into the city’s intricate environmental and atmospheric dynamics. I also applied the WRF-Chem model to study the wet/ dry deposition of NO2 and SO2 in West Asia. Additionally, I explored the exchange of CO2 over West Asia using Earth System Models from CMIP6 and observation-based data, investigating the impact of atmospheric and marine conditions on CO2 exchange.

I also received my Master’s degree in Meteorology in 2019. My Master’s thesis, titled “Study of low-level wind field over Qeshm Island using the WRF model” involved analyzing wind patterns to evaluate the potential for wind energy, in the region. These experiences have equipped me with a strong foundation in atmospheric modeling, data analysis, and research methodologies. Please see Research tab for more details about my research background.

I aim to pursue the following goals with a dedicated focus on “enhancing our society’s resilience and adaptability in the face of a changing climate”:

1. Studying Air Pollution and Climate Change: Utilizing a combination of observational data and numerical models to enhance our understanding of air pollution and climate change.

2. Applying Machine Learning in Meteorology: I have pursued courses to build a foundational understanding of this exciting field. I would like to apply machine learning to meteorological studies. I am particularly interested in how machine learning can enhance numerical weather prediction.

3. Studying Extreme Events: Conducting in-depth research on extreme events to better predict and mitigate their impacts on affected regions.