I am a postdoc research scientist in the Department Meteorology, University of Reading, UK. I obtained a master's degree in Meteorology from Cochin University of Science and Technology, India and PhD in Atmospheric Science from the Indian Institute of Space Science and Technology. After completing PhD in 2019, I worked at the Indian Institute of Tropical Meteorology, New York University Abu Dhabi, and Central Michigan University. I am also a visiting scientist at the Advanced Center for Atmospheric Radar Research, Cochin University of Science and Technology.
Beyond my research, I have a passion for making science accessible to the public. I regularly contribute engaging popular science articles on topics of weather and climate to a variety of magazines and web portals. And, I spend my off hours on travels and biking.
My research focuses in the realm of weather and climate science. Over the past 10 years, I have worked on a variety of aspects, including data assimilation and climate change. My major research interests include:
Organised convection and radiative feedback
A significant portion of the uncertainties in global climate projections are linked to inaccuracies in cloud representation within current-generation climate models. Of particular interest is how tropical high (anvil) clouds modulate radiative feedback, which is crucial for improving climate models and estimating climate sensitivity. My current project explores this aspect.
Understanding future changes in severe convective storms
The likelihood of severe thunderstorms are expected to change in a warming environment. However, how the changes in thermodynamics and kinematics will impact storm likelihood across different parts of the world remain largely uncertain. My present research focuses on this problem.
Regional climate modeling
I work on developing high-resolution regional climate frameworks, specifically at gray-zone resolution. A recent work on this end focuses on understanding wintertime precipitation variabilities over the Arabian Peninsula using the WRF model.
Better predictability of extreme events
Various extreme weather events are on a rise, and they are still hard to predict. I work on improving short-term predictability of severe weather systems through high-resolution modeling and regional data assimilation approaches.
Room: 1U14
Brian Hoskins Building
Department of Meteorology
University of Reading
Whitenights Road
Reading, UK - RG6 6ET
Email: d.gopalakrishnan@reading.ac.uk