Articles | Volume 15, issue 20
Development and technical paper
20 Oct 2022
Development and technical paper |  | 20 Oct 2022

A fast, single-iteration ensemble Kalman smoother for sequential data assimilation

Colin Grudzien and Marc Bocquet

Model code and software

cgrudz/DataAssimilationBenchmarks.jl: (v0.1-beta Colin Grudzien, Sukhreen Sandhu, and Amani Jridi

Short summary
Iterative optimization techniques, the state of the art in data assimilation, have largely focused on extending forecast accuracy to moderate- to long-range forecast systems. However, current methodology may not be cost-effective in reducing forecast errors in online, short-range forecast systems. We propose a novel optimization of these techniques for online, short-range forecast cycles, simultaneously providing an improvement in forecast accuracy and a reduction in the computational cost.