Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions

no code implementations • 5 Dec 2023 • Sandeep Chinta, Xiang Gao, Qing Zhu

One of the main sources of this uncertainty arises from the numerous uncertain model parameters within various physical, biological, and chemical processes that influence methane production, oxidation, and transport.

Bayesian Optimization

PAUNet: Precipitation Attention-based U-Net for rain prediction from satellite radiance data

no code implementations • 30 Nov 2023 • P. Jyoteeshkumar Reddy, Harish Baki, Sandeep Chinta, Richard Matear, John Taylor

This paper introduces Precipitation Attention-based U-Net (PAUNet), a deep learning architecture for predicting precipitation from satellite radiance data, addressing the challenges of the Weather4cast 2023 competition.

Management Precipitation Forecasting

Machine Learning based Parameter Sensitivity of Regional Climate Models -- A Case Study of the WRF Model for Heat Extremes over Southeast Australia

no code implementations • 27 Jul 2023 • P. Jyoteeshkumar Reddy, Sandeep Chinta, Richard Matear, John Taylor, Harish Baki, Marcus Thatcher, Jatin Kala, Jason Sharples

However, parameter sensitivity analysis (SA) of regional models for heat extremes is largely unexplored.