Graphical Abstract

Rojahn A., N. Schenk, P.-J. van Leeuwen and P. Roland, 2023: Particle filtering and gaussian mixtures - On a Localized Mixture Coefficients Particle Filter (LMCPF) for global NWP. J. Meteor. Soc. Japan, 101.
Early Online ReleaseGraphical AbstractNEW GA

Editor's Highlight


Plain Language Summary: In a global numerical weather prediction (NWP) modeling framework the implementation of a particle filter with Gaussian uncertainty of individual particles is investigated. We demonstrate the feasibility and quality of the Localized Mixture Coefficients Particle Filter (LMCPF) and evaluate the relationship between prior and posterior distributions and observations. The mixture approach is able to achieve high-quality with a low number of particles with in a real-world framework showing NWP scores comparable to the LETKF.