- Manmeet Singh
- Distinguished Postdoctoral Fellow
- Jackson School of Geosciences, The University of Texas at Austin
- manmeet.singh@utexas.edu
- +1 512 296 9098
Bio.
Manmeet Singh
Manmeet Singh is Distinguished Postdoctoral Fellow at the Jackson School of Geosciences, The University of Texas at Austin, Austin, USA. He served as a Staff Scientist at the nodal national lab on weather and climate in India, Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Govt of India for 11 years from 2013-2024. He was also a Fulbright-Kalam fellow at the Jackson School of Geosciences, The University of Texas at Austin in 2021. His research interests include climate solutions to the problems on land, ocean and atmosphere using mathematical models, particularly numerical weather prediction systems. He is especially interested in AI/ML techniques, causal approaches, recurrence plots, complex networks and non-linear time series analysis for solving grand challenges in Earth System Science. He is an experienced climate modeller having contributed to the IITM Earth System Model simulations towards the IPCC AR6 report. Together with his PhD co-advisor, he developed and coupled the aerosol module of the IITM Earth System Model. He is active in teaching and has given invited talks at venues such as the NASA/UAH Seminar series, Microsoft India podcast among others. His PhD focussed on the impacts of the proposals suggesting volcanic eruptions as an analogue of solar geoengineering to halt climate change. Recently, his work has shown substantial improvements in high-impact short-range numerical weather predictions using deep learning and he has also developed novel physics inspired deep learning algorithms for high-resolution downscaling.
University Education
Doctor of Philosophy, Climate Studies
2017 - 2022
Indian Institute of Technology Bombay, Bombay, India
CGPA: 9.0/10.0
Six months coursework, PhD topic “Role of volcanic and anthropogenic aerosols on the tropical ocean-atmosphere-land coupled system and the South Asian Monsoon”
Bachelor in Engineering, Civil Engineering
2009 - 2013
Thapar University Patiala, Panjab, India
MOOCs
A Crash Course in Causality: Inferring Causal Effects from Observational Data
2021
University of Pennsylvania (coursera)
Professional Experience
Distinguished Postdoctoral Fellow
April 2024 - - Present
Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas, USA
- Digital twins of flood, wildfire, gap filling of satellite remote sensing datasets.
- Development of high-resolution urban gridded datasets.
Scientist D
January 2023 - - March 2024
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Government of India, Pune, India
- AI for climate science, tabular deep learning, computer vision, NLP in climate
- Working on projects such as cloudburst prediction system, development of urban dynamic emission inventory, improving climate models, fire forecasting, atmospheric chemistry
- Downscaling, bias correction, GLOBUS building height at high spatial resolution, Flood forecasting, NDUI, Crop yield prediction
Associate
November 2021 - - Present
Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas, USA
- Deep learning augmented numerical weather prediction
- Causality in climate science
- Climate Data Science
- Global building height for urban studies
Scientist C
January 2019 - - December 2022
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Government of India, Pune, India
- CMIP6 simulations, Earth System Modelling, Aerosol Module in IITM-ESM, CMOR and ESMValTool setup
- National committee on virtual center for AI/ML in weather and climate science
- New technologies and climate science, Google Earth Engine, Microsoft Planetary Computer
- GPU benchmarking for biggest HPC in India, designing problem, codes and data for deep learning WeatherBench
Fulbright-Kalam Fellow
February 2021 - - October 2021
Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas, USA
- Aerosols-induced land-atmosphere interactions in South Asian Monsoon
- Urban climate change assessment
- High-resolution urban downscaling using deep learning
- Global numerical weather predictions enhanced by deep learning
Scientist B
September 2015 - - December 2018
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Government of India, Pune, India
- ENSO-Indian Monsoon coupling using phase synchronization analysis.
- Deep Learning for seasonal Indian Monsoon prediction
Project Scientist B
June 2015 - - August 2015
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Government of India, Pune, India
- Introducing direct aerosol effects in IITM-ESM using MAC data.
Trainee Scientist
August 2013 - - May 2015
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Government of India, Pune, India
- One year coursework in Earth System Sciences and Climate followed by a six month project on development of Direct Numerical Simulation code for Navier Stokes equations.