气候变化领域集成服务门户(CCPortal): Satellite-based evaluation of AeroCom model bias in biomass burning regions

CCPortal

DOI	10.5194/acp-22-11009-2022
	Satellite-based evaluation of AeroCom model bias in biomass burning regions
	Zhong, Qirui; Schutgens, Nick; van der Werf, Guido; van Noije, Twan; Tsigaridis, Kostas; Bauer, Susanne E.; Mielonen, Tero; Kirkevag, Alf; Seland, Oyvind; Kokkola, Harri; Checa-Garcia, Ramiro; Neubauer, David; Kipling, Zak; Matsui, Hitoshi; Ginoux, Paul; Takemura, Toshihiko; Le Sager, Philippe; Remy, Samuel; Bian, Huisheng; Chin, Mian; Zhang, Kai; Zhu, Jialei; Tsyro, Svetlana G.; Curci, Gabriele; Protonotariou, Anna; Johnson, Ben; Penner, Joyce E.; Bellouin, Nicolas; Skeie, Ragnhild B.; Myhre, Gunnar
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	11009
结束页码	11032
卷号	22 期号:17 页码:24
英文摘要	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 these uncertainties had small impacts on the model evaluation that was dominated by modeling bias. Through a comparison with Polarization and Directionality of the Earth's Reflectances measurements with the Generalized Retrieval of Aerosol and Surface Properties algorithm (POLDER-GRASP), we found that the modeled AOD values were biased by -93% to 152 %, with most models showing significant underestimations even for the state-of-the-art aerosol modeling techniques (i.e., CTRL19). By scaling up BBA emissions, the negative biases in modeled AOD were significantly mitigated, although it yielded only negligible improvements in the correlation between models and observations, and the spatial and temporal variations in AOD biases did not change much. For models in CTRL16 and CTRL19, the large diversity in modeled AOD was in almost equal measures caused by diversity in emissions, lifetime, and the mass extinction coefficient (MEC). We found that in the AeroCom ensemble, BBA lifetime correlated significantly with particle deposition (as expected) and in turn correlated strongly with precipitation. Additional analysis based on Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) aerosol profiles suggested that the altitude of the aerosol layer in the current models was generally too low, which also contributed to the bias in modeled lifetime. Modeled MECs exhibited significant correlations with the Angstrom exponent (AE, an indicator of particle size). Comparisons with the POLDER-GRASP-observed AE suggested that the models tended to overestimate the AE (underestimated particle size), indicating a possible underestimation of MECs in models. The hygroscopic growth in most models generally agreed with observations and might not explain the overall underestimation of modeled AOD. Our results imply that current global models contain biases in important aerosol processes for BBA (e.g., emissions, removal, and optical properties) that remain to be addressed in future research.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000847671100001
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/273488
作者单位	Vrije Universiteit Amsterdam; Royal Netherlands Meteorological Institute; Columbia University; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; Finnish Meteorological Institute; Norwegian Meteorological Institute; UDICE-French Research Universities; Universite Paris Cite; Universite Paris Saclay; CEA; Centre National de la Recherche Scientifique (CNRS); Swiss Federal Institutes of Technology Domain; ETH Zurich; European Centre for Medium-Range Weather Forecasts (ECMWF); Nagoya University; National Oceanic Atmospheric Admin (NOAA) - USA; Kyushu University; University System of Maryland; University of Maryland Baltimore County; National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; United States Department of Energy (DOE); Pacific Northwest National Laboratory; Tianjin University; University of L'Aquila; University of L'Aquila; National & Kapodistrian University of Athens; Met Office - UK; University of Michigan System; University of Michig...
推荐引用方式 GB/T 7714	Zhong, Qirui,Schutgens, Nick,van der Werf, Guido,et al. Satellite-based evaluation of AeroCom model bias in biomass burning regions[J],2022,22(17):24.
APA	Zhong, Qirui.,Schutgens, Nick.,van der Werf, Guido.,van Noije, Twan.,Tsigaridis, Kostas.,...&Myhre, Gunnar.(2022).Satellite-based evaluation of AeroCom model bias in biomass burning regions.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(17),24.
MLA	Zhong, Qirui,et al."Satellite-based evaluation of AeroCom model bias in biomass burning regions".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.17(2022):24.