News

Wang et al. (2024, Rev. Geophys.) synthesizes the latest progress in understanding changes in short-lived atmospheric compositions and their climate impacts during COVID-19.

Wang Lab co-led a study that reveals the previously underappreciated role of aerosol light absorption in mitigating PM pollution during severe haze events.

Gabriel Tsai presented his recent research on machine learning of warm rain microphysics during the Stanford Undergraduate Research Symposium

Group members got together to hand make dumplings and share their favoriate foods.

Yuan talked with Scientific American on the possible reasons for the puzzling Atlantic Hurricane Lull

Yuan co-found a new journal "npj Clean Air" as an inaugural Editor-in-Chief with Springer Nature.

Yuan led a multi-institute team to decipher the controlling factors for hurricane precipitaion using an explainable ML method.

Yuhan will join the lab in August of 2024. She recently obtained her PhD degree from UC Berkeley.

The Wang Lab received the 2023 Stanford Doerr Discovery Grant to mitigate uncertainty with solar geoengineering assessments

Sasha will join the lab in the Fall of 2024 as a new Ph.D. student in ESS. She is expecting a Bachelor of Science degree in Applied Math and Computation from Caltech in June, 2024.

We introduce a machine-learning approach that leverages dynamic traffic data to predict community-level air pollutant for environmental justice assessments.

Our particle-level observations reveal multi-level microphysical complexity of black carbon. Numerical models further quantify the related radiative forcing uncertainy.

Members from Wang Lab will deliver five presentations (2 talks, 2 posters, 1 eLightning) and contribute to another 8 presentations in this year's AGU Fall Meeting.

The group got together and felt thankful for the benign weather and boba milk tea.

An improved representation for black carbon microphysical and optical properties alleviates overestimations of aerosol absorption efficiency in global climate models.

The paper quantitatively assesses aerosol induced changes in wind speed, sea level rise, and precipitation during a major hurricane using an atmosphere-ocean coupled model.