Satellite-based evaluation of AeroCom model bias in biomass burning regions ...

• Main Authors: Zhong, Qirui, Schutgens, Nick, van der Werf, Guido, Van Noije, Twan, Tsigaridis, Kostas, Bauer, Susanne E., Mielonen, Tero, Kirkevåg, Alf, Seland, Øyvind, Kokkola, Harri, Checa-Garcia, Ramiro, Neubauer, David, Kipling, Zak, Matsui, Hitoshi, Ginoux, Paul, Takemura, Toshihiko, Le Sager, Philippe, Rémy, Samuel, Bian, Huisheng, Chin, Mian, et al.
• Format: Article in Journal/Newspaper
• Language: English
• Published: ETH Zurich 2022
• Subjects: Aerosol Robotic Network
• Online Access: https://dx.doi.org/10.3929/ethz-b-000569859; http://hdl.handle.net/20.500.11850/569859

Global models are widely used to simulate biomass burning aerosol (BBA). Exhaustive evaluations on model representation of aerosol distributions and properties are fundamental to assess health and climate impacts of BBA. Here we conducted a comprehensive comparison of Aerosol Comparisons between Observations and Models (AeroCom) project model simulations with satellite observations. A total of 59 runs by 18 models from three AeroCom Phase-III experiments (i.e., biomass burning emissions, CTRL16, and CTRL19) and 14 satellite products of aerosols were used in the study. Aerosol optical depth (AOD) at 550 nm was investigated during the fire season over three key fire regions reflecting different fire dynamics (i.e., deforestation-dominated Amazon, Southern Hemisphere Africa where savannas are the key source of emissions, and boreal forest burning in boreal North America). The 14 satellite products were first evaluated against AErosol RObotic NETwork (AERONET) observations, with large uncertainties found. But ... : Atmospheric Chemistry and Physics, 22 (17) ...