气候变化领域集成服务门户(CCPortal): Evaluation of interactive and prescribed agricultural ammonia emissions for simulating atmospheric composition in CAM-chem

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DOI	10.5194/acp-22-1883-2022
	Evaluation of interactive and prescribed agricultural ammonia emissions for simulating atmospheric composition in CAM-chem
	Vira, Julius; Hess, Peter; Ossohou, Money; Galy-Lacaux, Corinne
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	1883
结束页码	1904
卷号	22 期号:3 页码:22
英文摘要	Ammonia (NH3) plays a central role in the chemistry of inorganic secondary aerosols in the atmosphere. The largest emission sector for NH3 is agriculture, where NH3 is volatilized from livestock wastes and fertilized soils. Although the NH3 volatilization from soils is driven by the soil temperature and moisture, many atmospheric chemistry models prescribe the emission using yearly emission inventories and climatological seasonal variations. Here we evaluate an alternative approach where the NH3 emissions from agriculture are simulated interactively using the process model FANv2 (Flow of Agricultural Nitrogen, version 2) coupled to the Community Atmospheric Model with Chemistry (CAM-chem). We run a set of 6-year global simulations using the NH3 emission from FANv2 and three global emission inventories (EDGAR, CEDS and HTAP) and evaluate the model performance using a global set of multi-component (atmospheric NH3 and NH4+, and NH4+ wet deposition) in situ observations. Over East Asia, Europe and North America, the simulations with different emissions perform similarly when compared with the observed geographical patterns. The seasonal distributions of NH3 emissions differ between the inventories, and the comparison to observations suggests that both FANv2 and the inventories would benefit from more realistic timing of fertilizer applications. The largest differences between the simulations occur over data-scarce regions. In Africa, the emissions simulated by FANv2 are 200 %-300% higher than in the inventories, and the available in situ observations from western and central Africa, as well as NH3 retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) instrument, are consistent with the higher NH3 emissions as simulated by FANv2. Overall, in simulating ammonia and ammonium concentrations over regions with detailed regional emission inventories, the inventories based on these details (HTAP, CEDS) capture the atmospheric concentrations and their seasonal variability the best. However these inventories cannot capture the impact of meteorological variability on the emissions, nor can these inventories couple the emissions to the biogeochemical cycles and their changes with climate drivers. Finally, we show with sensitivity experiments that the simulated time-averaged nitrate concentration in air is sensitive to the temporal resolution of the NH3 emissions. Over the CASTNET monitoring network covering the US, resolving the NH3 emissions hourly instead monthly reduced the positive model bias from approximately 80% to 60% of the observed yearly mean nitrate concentration. This suggests that some of the commonly reported overestimation of aerosol nitrate over the US may be related to unresolved temporal variability in the NH3 emissions.
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:000758083100001
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/273125
作者单位	Cornell University; Finnish Meteorological Institute; Universite de Toulouse; Universite Toulouse III - Paul Sabatier; Centre National de la Recherche Scientifique (CNRS)
推荐引用方式 GB/T 7714	Vira, Julius,Hess, Peter,Ossohou, Money,et al. Evaluation of interactive and prescribed agricultural ammonia emissions for simulating atmospheric composition in CAM-chem[J],2022,22(3):22.
APA	Vira, Julius,Hess, Peter,Ossohou, Money,&Galy-Lacaux, Corinne.(2022).Evaluation of interactive and prescribed agricultural ammonia emissions for simulating atmospheric composition in CAM-chem.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(3),22.
MLA	Vira, Julius,et al."Evaluation of interactive and prescribed agricultural ammonia emissions for simulating atmospheric composition in CAM-chem".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.3(2022):22.