Articles | Volume 16, issue 16
https://doi.org/10.5194/gmd-16-4617-2023
https://doi.org/10.5194/gmd-16-4617-2023
Methods for assessment of models
 | 
17 Aug 2023
Methods for assessment of models |  | 17 Aug 2023

Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1)

Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel, and Rüdiger Westermann

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Cited articles

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Short summary
Numerical weather prediction models rely on parameterizations for sub-grid-scale processes, which are a source of uncertainty. We present novel visual analytics solutions to analyze interactively the sensitivities of a selected prognostic variable to multiple model parameters along trajectories regarding similarities in temporal development and spatiotemporal relationships. The proposed workflow is applied to cloud microphysical sensitivities along coherent strongly ascending trajectories.