Articles | Volume 32, issue 4
https://doi.org/10.5194/npg-32-439-2025
https://doi.org/10.5194/npg-32-439-2025
Research article
 | 
24 Oct 2025
Research article |  | 24 Oct 2025

Exploring the influence of spatio-temporal scale differences in coupled data assimilation

Lilian Garcia-Oliva, Alberto Carrassi, and François Counillon

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Short summary
We used a simple coupled model and a data assimilation method to find the correct initialisation for climate predictions. We aim to clarify when weakly or strongly coupled data assimilation (WCDA or SCDA) is best, depending on the system's dynamical characteristics (spatio-temporal) and data coverage. We found that WCDA is better in full data coverage. When we have a partially observed system, SCDA is better. This result depends on the temporal and spatial scale of the observed quantity.
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