Articles | Volume 5, issue 3
https://doi.org/10.5194/wcd-5-927-2024
https://doi.org/10.5194/wcd-5-927-2024
Research article
 | 
19 Jul 2024
Research article |  | 19 Jul 2024

Towards a process-oriented understanding of the impact of stochastic perturbations on the model climate

Moritz Deinhard and Christian M. Grams

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Latest update: 20 Nov 2024
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Short summary
Stochastic perturbations are an established technique to represent model uncertainties in numerical weather prediction. While such schemes are beneficial for the forecast skill, they can also change the mean state of the model. We analyse how different schemes modulate rapidly ascending airstreams and whether the changes to such weather systems are projected onto larger scales. We thereby provide a process-oriented perspective on how perturbations affect the model climate.