activity
20242026
collaborators

7 papers

cs.LG2026

AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion

Somnath Luitel, Manmeet Singh, Joshua Durkee +11

Operational weather prediction at kilometer scales remains computationally prohibitive for traditional numerical weather prediction (NWP) models, limiting forecast access for appli…

physics.soc-ph2026

CoolPath Tool: A Thermal Comfort Path Planning Tool for Urban Mobility

Aditya Patel, Naveen Sudharsan, Trevor Brooks +5

Extreme heat poses a growing challenge for active transportation in cities where conventional weather reporting (e.g. limited air temperature measurement for the whole city) fails…

cs.CV2025

Exploring the design space of diffusion and flow models for data fusion

Niraj Chaudhari, Manmeet Singh, Naveen Sudharsan +4

Data fusion is an essential task in various domains, enabling the integration of multi-source information to enhance data quality and insights. One key application is in satellite…

physics.geo-ph2025

UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications

Naveen Sudharsan, Manmeet Singh, Harsh Kamath +4

The UT GraphCast Hindcast Dataset from 1979 to 2024 is a comprehensive global weather forecast archive generated using the Google DeepMind GraphCast Operational model. Developed by…

physics.ao-ph2025

Enhancing Near Real Time AI-NWP Hurricane Forecasts: Improving Explainability and Performance Through Physics-Based Models and Land Surface Feedback

Naveen Sudharsan, Manmeet Singh, Sasanka Talukdar +12

Hurricane track forecasting remains a significant challenge due to the complex interactions between the atmosphere, land, and ocean. Although AI-based numerical weather prediction…

physics.soc-ph2024

NDUI+: A fused DMSP-VIIRS based global normalized difference urban index dataset

Manmeet Singh, Subhasis Ghosh, Harsh Kamath +9

Urbanization is advancing rapidly, covering less than 2% of Earth's surface yet profoundly influencing global environments and experiencing disproportionate impacts from extreme we…