Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements

Röttenbacher, Johannes; Ehrlich, André; Müller, Hanno; Ewald, Florian; Luebke, Anna E.; Kirbus, Benjamin; Hogan, Robin J.; Wendisch, Manfred

doi:https://doi.org/10.5194/acp-24-8085-2024

Articles | Volume 24, issue 14

https://doi.org/10.5194/acp-24-8085-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

HALO-(AC)³ – an airborne campaign to study air...

https://doi.org/10.5194/acp-24-8085-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 14

Research article

|

17 Jul 2024

Research article |

| 17 Jul 2024

Evaluating the representation of Arctic cirrus solar radiative effects in the Integrated Forecasting System with airborne measurements

Johannes Röttenbacher, André Ehrlich, Hanno Müller, Florian Ewald, Anna E. Luebke, Benjamin Kirbus, Robin J. Hogan, and Manfred Wendisch

Data sets

Unified Airborne Active and Passive Microwave Measurements over Arctic Sea Ice and Ocean during the HALO-(AC)³ Campaign in Spring 2022 [dataset] Henning Dorff et al. https://doi.org/10.1594/PANGAEA.963250

Broadband solar and terrestrial, upward and downward irradiance measured by BACARDI on HALO during the HALO-(AC)³ field campaign in 2022 [dataset] Anna E. Luebke et al. https://doi.org/10.1594/PANGAEA.963739

radiation-lim/roettenbacher_etal_2024: Final Upload (v1.0) Johannes Röttenbacher https://doi.org/10.5281/zenodo.11444540

Model code and software

roettenbacher_et_al_2024 J. Röttenbacher https://doi.org/10.5281/zenodo.11444539

Short summary

Weather prediction models simplify the physical processes related to light scattering by clouds consisting of complex ice crystals. Whether these simplifications are the cause for uncertainties in their prediction can be evaluated by comparing them with measurement data. Here we do this for Arctic ice clouds over sea ice using airborne measurements from two case studies. The model performs well for thick ice clouds but not so well for thin ones. This work can be used to improve the model.