Representing Cities in Weather and Climate Models: From Processes to Urban Digital Twins

Name of the Speaker: Prof. Dev Niyogi

Title of the Seminar: Representing Cities in Weather and Climate Models: From Processes to Urban Digital Twins

Date and Time: 31 May 2022 (Tuesday), 4:00pm

Online Platform: MS Teams (link to the video of the seminar)

About the Speaker: Dr. DEV NIYOGI, is John E. “Brick” Elliot Centennial Endowed Professor at the University of Texas at Austin, in the Jackson School of Geosciences, and the Department of Civil, Architectural and Environmental Engineering. He is a graduate faculty of the Oden Institute of Computational Engineering and Science, and University of Texas Center for Space Research. He is also Professor Emeritus, Purdue University, Department of Agronomy and Department of Earth, Atmospheric, and Planetary Sciences, and former Indiana State Climatologist (2005- 2018). He is an Editor for the AMS Journal of Applied Meteorology and Climatology. Linkdn: https://www.linkedin.com/in/texus/

Prof. Niyogi’s research seeks to significantly contribute to our understanding of the Earth system, particularly the urban and agricultural landscapes, and the dynamic role of coupled land surface processes on weather and regional meteorological extremes. An important ongoing and emerging focus of his research is to translate the scientific work undertaken into decision tools and portals with a particular focus on hydroclimatology and sustainable climate-ready/resilient cities.

Abstract: Urbanization is a global phenomenon and a notable feature of anthropogenic impacts. Cities have a relatively small spatial footprint, but likely have a much larger and discernable impact on the regional weather, and hydroclimatic processes. This presentation is aimed as a primer to highlight what the science community has understood about the effects of cities and urban clusters on local to larger scale meteorological processes. The talk will draw on multiscale evidence from different studies to highlight the need for representing urban processes within weather and climate studies. The talk will also discuss different approaches underway in the traditional modeling sense involving physics-based framework, and the recent opportunities using AI/ML approaches culminating in the efforts underway for developing an urban digital twin.

Date/Time
Date(s) - 31/05/2022
4:00 pm