1 citations · 1 across the 11 of their papers we have counts for
11 papers
AFDBench: A Reasoning-First AI Scientist for NationalWeather Service Forecast Discussions
Manmeet Singh, Somnath Luitel, Prabhjot Singh +3
Large language models (LLMs) hallucinate numerical values when generating high-stakes meteorological text, posing risks for weather communication. We present AFDBench, an AI meteor…
Aircast-Mars: A Mars Foundation Model for Global Weather Forecasting with HEALPix-Aware Convolutions
Manmeet Singh, Saptarishi Dhanuka, Naveen Sudharsan +3
Foundation models for planetary atmospheres promise fast, lightweight surrogates of expensive general circulation models (GCMs) for mission planning and scientific inquiry. Here we…
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…
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…
UrbanDIFF: A Denoising Diffusion Model for Spatial Gap Filling of Urban Land Surface Temperature Under Dense Cloud Cover
Arya Chavoshi, Hassan Dashtian, Naveen Sudharsan +1
Satellite-derived Land Surface Temperature (LST) products are central to surface urban heat island (SUHI) monitoring due to their consistent grid-based coverage over large metropol…
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…
Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
Mahmoud Mbarak, Manmeet Singh, Naveen Sudharsan +1
Accurate soil moisture prediction during extreme events remains a critical challenge for earth system modeling, with profound implications for drought monitoring, flood forecasting…
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…
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…
Increasing risk of oppressive heatwaves over India in the future warming
Naveen Sudharsan, Jitendra Singh, Subimal Ghosh +1
This study examines the increasing frequency of heatwaves, particularly focusing on extreme (high temperature, low humidity) and oppressive (high temperature, high humidity) heatwa…
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…