Graphical Abstract

Hermoso, A., V. Homar, S. J. Greybush, and D. J. Stensrud, 2020: Tailored ensemble prediction systems: Application of seamless scale bred vectors. J. Meteor. Soc. Japan, 98, https://doi.org/10.2151/jmsj.2020-053.
Early Online ReleaseGraphical Abstract with highlights

Plain Language Summary: Uncertainties in numerical weather forecasting derived from an imperfect knowledge of the initial conditions are coped with ensemble forecasting. Breeding technique provides a simple and low computationally expensive ensemble generation strategy. The technique aims at capturing growing errors, obtained from the difference between control and perturbed runs at regular time intervals. Modifications to the traditional arithmetic rescaling are investigated, including logarithmic and orthogonal rescaling. In addition, the Bred Vectors Tailored Ensemble Perturbations method is designed to control the spatial scale of the perturbations. This technique outperforms traditional breeding techniques in terms of diversity (ensemble dimension) and skill.

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