Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System

Abstract Model bias is one of the main obstacles to improved accuracy and reliability in numerical weather prediction conducted with state‐of‐the‐art atmospheric models. To deal with model bias, a modification of the standard four‐dimensional variational (4D‐Var) algorithm, called weak‐constraint 4D...

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Bibliographic Details

Published in:	Journal of Advances in Modeling Earth Systems
Main Authors:	Patrick Laloyaux, Thorsten Kurth, Peter Dominik Dueben, David Hall
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2022-06-01
Subjects:	model error neural networks weak‐constraint 4D‐Var data assimilation artificial intelligence ECMWF
Online Access:	https://doi.org/10.1029/2022MS003016