Evaluating Weather and Chemical Transport Models at High Latitudes using MAGIC2021 Airborne Measurements

• Main Authors: Langot, Félix, Crevoisier, Cyril, Lauvaux, Thomas, Abdallah, Charbel, Pernin, Jérôme, Xin, Lin, Saunois, Marielle, Guedj, Axel, Ponthieu, Thomas, Roiger, Anke-Elisabeth, Gottschaldt, Klaus-Dirk, Fiehn, Alina
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Copernicus Publications 2024
• Subjects: Atmosphärische Spurenstoffe; Kiruna
• Online Access: https://elib.dlr.de/209431/; https://editor.copernicus.org/EGUsphere/ms_records/egusphere-2024-3559

Methane (CH4) fluxes emitted by wetlands at high latitudes remain one of the largest sources of uncertainties in global methane budgets. At these latitudes, flux estimation approaches, such as atmospheric inversions, are impacted by improper characterisation of atmospheric transport due to challenging meteorological conditions and a lack of measurements. Here, we assess the performances of ERA5 reanalysis, mesoscale simulations from WRF-Chem, and various atmospheric transport models from several global and regional inversion systems using meteorological and CH4 in-situ measurements collected during the MAGIC2021 campaign near Kiruna, Sweden. Over six measurements days in August 2021, ERA5 exhibited better agreement with observations than WRF-Chem thanks to data assimilation. Nevertheless, WRF-Chem demonstrated proficiency in simulating local atmospheric dynamics. Among global simulations of atmospheric concentrations of CH4, inversion-optimised simulations of CH4 concentrations yielded the best performances, particularly near the surface, with CAMS v21r1 marginally outperforming PYVAR-LMDz-SACS ensemble inversions. WRF-Chem regional simulations revealed performance disparities among CH4 products, with positive biases in the boundary layer indicative of an overestimation of wetland emissions by selected wetland flux models. All transport models exhibited a vertically delayed gradient of CH4 mixing ratios near the tropopause, resulting in a positive bias in the stratosphere. The high vertical resolution of CAMS hlkx facilitated a better representation of the vertical structure of CH4 profiles in the stratosphere. Despite the limited spatiotemporal scope of MAGIC2021, we were able to identify the best performing transport models and to evaluate fluxes from different biogeochemical model parametrisations using the MAGIC2021 high-resolution dataset.