Application of Recurrent Neural Networks to Model Bias Correction: Idealized Experiments With the Lorenz‐96 Model

Abstract Systematic biases in numerical weather prediction models cause forecast deviation from reality. While model biases also affect data assimilation and degrade the analysis accuracy, observation information incorporated through data assimilation can provide information for detecting and allevi...

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Bibliographic Details
Main Authors: A. Amemiya, M. Shlok, T. Miyoshi
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-02-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2022MS003164