Challenge of modelling GLORIA observations of upper troposphere-lowermost stratosphere trace gas and cloud distributions at high latitudes: A case study with state-of-The-Art models

• Main Authors: Haenel, Florian, Woiwode, Wolfgang, Buchmüller, J., Friedl-Vallon, Felix, Höpfner, Michael, Johansson, Sören, Khosrawi, Farahnaz, Kirner, O., Kleinert, Anne, Oelhaf, Hermann, Orphal, Johannes, Ruhnke, Roland, Sinnhuber, Björn-Martin, Ungermann, J., Weimer, Michael, Braesicke, Peter
• Format: Article in Journal/Newspaper
• Language: English
• Published: European Geosciences Union 2022
• Subjects: ddc:550; Earth sciences; info:eu-repo/classification/ddc/550; Arctic
• Online Access: https://publikationen.bibliothek.kit.edu/1000144163; https://publikationen.bibliothek.kit.edu/1000144163/148546367; https://doi.org/10.5445/IR/1000144163

Water vapour and ozone are important for the thermal and radiative balance of the upper troposphere (UT) and lowermost stratosphere (LMS). Both species are modulated by transport processes. Chemical and microphysical processes affect them differently. Thus, representing the different processes and their interactions is a challenging task for dynamical cores, chemical modules and microphysical parameterisations of state-of-the-art atmospheric model components. To test and improve the models, high-resolution measurements of the UT–LMS are required. Here, we use measurements taken in a flight of the GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere) instrument on HALO (High Altitude and LOng Range Research Aircraft). The German research aircraft HALO performed a research flight on 26 February 2016 that covered deeply subsided air masses of the aged 2015/16 Arctic vortex, high-latitude LMS air masses, a highly textured region affected by troposphere-to-stratosphere exchange and high-altitude cirrus clouds. Therefore, it provides a challenging multifaceted case study for comparing GLORIA observations with state-of-the-art atmospheric model simulations in a complex UT–LMS region at a late stage of the Arctic winter 2015/16. Using GLORIA observations in this manifold scenario, we test the ability of the numerical weather prediction (NWP) model ICON (ICOsahedral Nonhydrostatic) with the extension ART (Aerosols and Reactive Trace gases) and the chemistry–climate model (CCM) EMAC (ECHAM5/MESSy Atmospheric Chemistry – fifth-generation European Centre Hamburg general circulation model/Modular Earth Submodel System) to model the UT–LMS composition of water vapour (H$_{2}$O), ozone (O$_{3}$), nitric acid (HNO$_{3}$) and clouds. Within the scales resolved by the respective model, we find good overall agreement of both models with GLORIA. The applied high-resolution ICON-ART set-up involving an R2B7 nest (local grid refinement with a horizontal resolution of about 20 km), covering the HALO flight region, ...