A method for generating a quasi-linear convective system suitable for observing system simulation experiments

Labriola, Jonathan D.; Gibbs, Jeremy A.; Wicker, Louis J.

doi:https://doi.org/10.5194/gmd-16-1779-2023

Articles | Volume 16, issue 6

https://doi.org/10.5194/gmd-16-1779-2023

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

https://doi.org/10.5194/gmd-16-1779-2023

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

Articles | Volume 16, issue 6

Development and technical paper

|

29 Mar 2023

Development and technical paper |

| 29 Mar 2023

A method for generating a quasi-linear convective system suitable for observing system simulation experiments

Jonathan D. Labriola, Jeremy A. Gibbs, and Louis J. Wicker

Data sets

A Method for Generating a Quasi-Linear Convective System Suitable for Observing System Simulation Experiments: Dataset Jonathan D. Labriola, Jeremy A. Gibbs, and Louis J. Wicker https://doi.org/10.5281/zenodo.7126769

Model code and software

A Method for Generating a Quasi-Linear Convective System Suitable for Observing System Simulation Experiments Jonathan D. Labriola, Jeremy A. Gibbs, and Louis J Wicker https://doi.org/10.5281/zenodo.7109050

Short summary

Observing system simulation experiments (OSSEs) are simulated case studies used to understand how different assimilated weather observations impact forecast skill. This study introduces the methods used to create an OSSE for a tornadic quasi-linear convective system event. These steps provide an opportunity to simulate a realistic high-impact weather event and can be used to encourage a more diverse set of OSSEs.