Dr Shruti Nath
About
Dr Shruti Nath is a Postdoctoral Research Associate in the Department of Physics whose research focusses on developing lightweight statistical tools to model complex weather and climate processes.
Dr Nath works with understanding the spatio-temporal regularities within noisy weather structures so as to be able to approximate them in a realistic/consistent manner. This allows better understanding of the uncertainty space, and more importantly, agile exploration of it. Dr Nath employs a range of techniques for this, going from traditional statistical techniques to more recent artificial intelligence techniques.
Other research interests include cloud-optimised artificial intelligence-based training on large datasets and multi-resolutional image analysis and decomposition.
Expertise
- Artificial Intelligence (AI)
- Extreme events
- Climate Change
- Attribution
- Data sparse regions and low-income countries
- IPCC
- Cloud optimisation
Selected publications
- Representing natural climate variability in an event attribution context: Indo-Pakistani heatwave of 2022 (2024)
- TIMBER v0.1: a conceptual framework for emulating temperature responses to tree cover change (2023)
- MESMER-M: an Earth system model emulator for spatially resolved monthly temperature (2022)
- Extreme Atlantic hurricane seasons made twice as likely by ocean warming (2022)
- Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies (2021)
Media experience
Dr Shruti Nath's media experience includes live TV interviews with outlets such as the BBC and Deutsche Welle and as a scientific reviewer for The Washington Post. Dr Nath has also been part of panel discussions for the Heinrich Böll Foundation.
Recent media work
Languages
English, Bengali, German (B1.1)