2 papers
cs.LG2024
Jacobian-Enforced Neural Networks (JENN) for Improved Data Assimilation Consistency in Dynamical Models
Xiaoxu Tian
Machine learning-based weather models have shown great promise in producing accurate forecasts but have struggled when applied to data assimilation tasks, unlike traditional numeri…
physics.ao-ph2024
Exploring the Use of Machine Learning Weather Models in Data Assimilation
Xiaoxu Tian, Daniel Holdaway, Daryl Kleist
The use of machine learning (ML) models in meteorology has attracted significant attention for their potential to improve weather forecasting efficiency and accuracy. GraphCast and…