Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction

1 code implementation • 30 Apr 2024 • Jared D. Willard, Peter Harrington, Shashank Subramanian, Ankur Mahesh, Travis A. O'Brien, William D. Collins

The rapid rise of deep learning (DL) in numerical weather prediction (NWP) has led to a proliferation of models which forecast atmospheric variables with comparable or superior skill than traditional physics-based NWP.

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources

no code implementations • 18 Aug 2023 • Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science.

Time Series Time Series Prediction +1

Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning

1 code implementation • 10 Nov 2020 • Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar

This method, Meta Transfer Learning (MTL), builds a meta-learning model to predict transfer performance from candidate source models to targets using lake attributes and candidates' past performance.

Meta-Learning Transfer Learning