Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction

<p>Non-Gaussian forecast error is a challenge for ensemble-based data assimilation (DA), particularly for more nonlinear convective dynamics. In this study, we investigate the degree of the non-Gaussianity of forecast error distributions at 1 km resolution using a 1000-member ensemble Kalman f...

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Bibliographic Details
Main Authors: J. Ruiz, G.-Y. Lien, K. Kondo, S. Otsuka, T. Miyoshi
Format: Article
Language:English
Published: Copernicus Publications 2021-11-01
Series:Nonlinear Processes in Geophysics
Online Access:https://npg.copernicus.org/articles/28/615/2021/npg-28-615-2021.pdf