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

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

doi:https://doi.org/10.5194/gmd-16-4617-2023

Articles | Volume 16, issue 16

https://doi.org/10.5194/gmd-16-4617-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-4617-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 16

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

Data sets

Trajectory data with sensitivities to cloud microphysical parameters Maicon Hieronymus and Annika Oertel https://doi.org/10.5281/zenodo.8043592

Model code and software

Met.3D (1.6.0-multivar1) Christoph Neuhauser, Maicon Hieronymus, Michael Kern, & Met.3D Contributors https://doi.org/10.5281/zenodo.8082371

wavestoweather/AD_Sensitivity_Analysis: Source for Reference Paper Maicon Hieronymus https://doi.org/10.5281/zenodo.6645540

Video supplement

Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories" Christoph Neuhauser and Maicon Hieronymus https://doi.org/10.5281/zenodo.8085134

Short summary

Numerical weather prediction models rely on parameterizations for sub-grid-scale processes,...