Articles | Volume 32, issue 3
https://doi.org/10.5194/npg-32-353-2025
https://doi.org/10.5194/npg-32-353-2025
Research article
 | 
24 Sep 2025
Research article |  | 24 Sep 2025

Long-window tandem variational data assimilation methods for chaotic climate models tested with the Lorenz 63 system

Philip David Kennedy, Abhirup Banerjee, Armin Köhl, and Detlef Stammer

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Short summary
This work introduces and evaluates two new tandem data assimilation techniques. The first uses two synchronised forward model runs before a single adjoint model run to consistently increase the precision of the parameter estimation. The second uses a lower-resolution model with adjoint equations to drive a higher-resolution target model through data assimilation with no loss in precision compared to data assimilation without tandem methods.
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