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09/15/2023
On the limitations of data-driven weather forecasting models
As in many other areas of engineering and applied science, Machine Learn...
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10/25/2022
Online model error correction with neural networks in the incremental 4D-Var framework
Recent studies have demonstrated that it is possible to combine machine ...
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09/23/2022
Estimating Model Error Covariances with Artificial Neural Networks
Methods to deal with systematic model errors are an increasingly importa...
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07/23/2021
A comparison of combined data assimilation and machine learning methods for offline and online model error correction
Recent studies have shown that it is possible to combine machine learnin...
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05/20/2021
Exploring the structure of time-correlated model errors in the ECMWF Data Assimilation System
Model errors are increasingly seen as a fundamental performance limiter ...
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10/23/2020