activity
20182026
most citedGLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications

49 citations · 59 across the 9 of their papers we have counts for

collaborators

9 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…

cs.CV2024

Developing Gridded Emission Inventory from High-Resolution Satellite Object Detection for Improved Air Quality Forecasts

Shubham Ghosal, Manmeet Singh, Sachin Ghude +8

This study presents an innovative approach to creating a dynamic, AI based emission inventory system for use with the Weather Research and Forecasting model coupled with Chemistry…

physics.soc-ph2023

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…

cs.CE2022★ 49 cited

GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations: Development and first applications

Harsh G. Kamath, Manmeet Singh, Neetiraj Malviya +8

We introduce University of Texas - Global Building heights for Urban Studies (UT-GLOBUS), a dataset providing building heights and urban canopy parameters (UCPs) for more than 1200…

eess.SY2018★ 10 cited

Performance Analysis and Fault Diagnosis Method for Concentrator Photovoltaic Modules

Harsh G. Kamath, Nicholas J. Ekins-Daukes, Kenji Araki +1

Concentrator Photovoltaic (CPV) systems use high efficiency multi-junction solar cells with efficiencies >40%, but the module efficiency is often much lower. The increased complexi…