AGNIV SENGUPTA
COMPTL/DATA SCI RES
CLIMATE/ATMOS SCI/PHY OCEANOG
Research Interests
- AI and ML in Geophysical Research
- Subseasonal-to-Seasonal Prediction
- High-Impact Weather Events
- Development of Forecast Products and Decision-Support Tools
Degrees
- PhD, Atmospheric and Oceanic Science, University of Maryland College Park (2020)
- M.S., Atmospheric and Oceanic Science, University of Maryland College Park (2016)
- B.Engg., Civil Engineering, Jadavpur University, Kolkata, India (2014)
Recent Highlights
- Development of a high-resolution AI model for the prediction of atmospheric rivers and extreme precipitation (preprint)
- Publication in Communications Earth & Environment on improving seasonal precipitation forecasts in the Western U.S.
- Publication in npj Climate and Atmospheric Science: Are AI weather models learning atmospheric physics?
- Dr. Sengupta receives an NSF National Artificial Intelligence Research Resource (NAIRR) Pilot award
- Presentation at the 2024 AMS Annual Meeting, Baltimore, MD (abstract)
- UC San Diego highlights CW3E's machine learning research to improve prediction of ARs
- Presentation at the Western States Water Council (WSWC) meeting, San Diego, CA
- Selection for the AMS Early Career Leadership Academy class of 2023 (news highlight)
- Research highlighted in UC San Diego article on leveraging AI to inform climate action
- Outreach efforts in Yampa Valley Colorado covered on local news and radio
- Publication in BAMS: Advances in subseasonal-to-seasonal prediction relevant to water management