116 citations · 116 across the 5 of their papers we have counts for
5 papers
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…
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…
Recent La Plata basin drought conditions observed by satellite gravimetry
J. L. Chen, C. R. Wilson, B. D. Tapley +3
The Gravity Recovery and Climate Experiment (GRACE) provides quantitative measures of terrestrial water storage (TWS) change. GRACE data show a significant decrease in TWS in the l…