Assessing cloud representation of two global atmospheric models using multiple overpasses of CloudSat-CALIPSO over the same Arctic cyclone ...

• Main Authors: Wimmer, Meryl, Hofmann, Lukas, Rivière, Gwendal, Delanoë, Julien, Bazile, Eric, Vignon, Etienne, Aubry, Clémantyne
• Format: Conference Object
• Language: unknown
• Published: GFZ German Research Centre for Geosciences 2023
• Subjects: Arctic; Svalbard
• Online Access: https://dx.doi.org/10.57757/iugg23-1968; https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017571

<!--!introduction!--> Mixed-phase clouds are common in Arctic cyclones, but their representation in global atmospheric models is still challenging. The aim of the study is to evaluate and improve the ratio of ice and liquid water within mixed-phase clouds simulated by two general circulation models (GCM): ARPEGE (operational at Météo-France) and LMDZ (the atmospheric component of the IPSL-CM Earth System Model). For that evaluation, we consider ERA5 reanalysis for the overall dynamics and for the cloud representation, DARDAR satellite products which provide the ice water content (IWC) as well as categorization masks along CloudSat-CALIPSO tracks. This work focuses on an Arctic cyclone that occurred in May 2019 near Svalbard and has been sampled several times by CloudSat-CALIPSO. Compared to satellite observations, LMDZ simulations provide quite realistic IWC while ARPEGE underestimates this quantity. However, by comparing liquid and ice occurrences between models and observations, both GCMs clearly ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ...