Analysis of atmospheric ammonia over South and East Asia based on the MOZART-4  model and its comparison with satellite and surface observations

doi:10.5194/acp-2020-639

GSTDTAP > 地球科学

DOI	10.5194/acp-2020-639
	Analysis of atmospheric ammonia over South and East Asia based on the MOZART-4 model and its comparison with satellite and surface observations
	Pooja V. Pawar, Sachin D. Ghude, Chinmay Jena, Andrea Móring, Mark A. Sutton, Santosh Kulkarni, Deen Mani Lal, Divya Surendran, Martin Van Damme, Lieven Clarisse, Pierre-François Coheur, Xuejun Liu, Wen Xu, Jize Jiang, and Tapan Kumar Adhya
	2020-07-30
发表期刊	Atmospheric Chemistry and Physics
出版年	2020
英文摘要	Limited availability of atmospheric ammonia (NH₃) observations, limits our understanding of controls on its spatial and temporal variability and its interactions with ecosystems. Here we used the Model for Ozone and Related chemical Tracers (MOZART-4) global chemistry transport model and the Hemispheric Transport of Air Pollution version-2 (HTAP-v2) emission inventory to simulate global NH₃ distribution for the year 2010. We present a first comparison of the model with monthly averaged satellite distributions and limited ground-based observations available across South Asia. The MOZART-4 simulations over South Asia and East Asia are evaluated with the NH₃ retrievals obtained from the Infrared Atmospheric Sounding Interferometer (IASI) satellite and 69 ground based monitoring stations for air quality across South Asia, and 32 ground based monitoring stations from the Nationwide Nitrogen Deposition Monitoring Network (NNDMN) of China. We identify the northern region of India (Indo-Gangetic Plain, IGP) as a hotspot for NH₃ in Asia, both using the model and satellite observations. In general, a close agreement was found between yearly-averaged NH₃ total columns simulated by the model and IASI satellite measurements over the IGP, South Asia (r = 0.85) and North China Plain (NCP), of East Asia (r = 0.88). However, the MOZART-4 simulated NH₃ column is substantially higher over South Asia than East Asia, as compared with the IASI retrievals, which show smaller differences. Model simulated surface NH₃ concentrations indicate smaller concentrations in all seasons than surface NH₃ measured by the ground based observations over South and East Asia, although uncertainties remain in the available surface NH₃ measurements. Overall, the comparison of East Asia and South Asia using both MOZART-4 model and satellite observations showed smaller NH₃ columns in East Asia compared with South Asia for comparable emissions, indicating rapid dissipation of NH₃ due to secondary aerosol formation, which can be explained by larger emissions of acidic precursor gases in East Asia.
领域	地球科学
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文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/286581
专题	地球科学
推荐引用方式 GB/T 7714	Pooja V. Pawar, Sachin D. Ghude, Chinmay Jena, Andrea Móring, Mark A. Sutton, Santosh Kulkarni, Deen Mani Lal, Divya Surendran, Martin Van Damme, Lieven Clarisse, Pierre-François Coheur, Xuejun Liu, Wen Xu, Jize Jiang, and Tapan Kumar Adhya. Analysis of atmospheric ammonia over South and East Asia based on the MOZART-4 model and its comparison with satellite and surface observations[J]. Atmospheric Chemistry and Physics,2020.
APA	Pooja V. Pawar, Sachin D. Ghude, Chinmay Jena, Andrea Móring, Mark A. Sutton, Santosh Kulkarni, Deen Mani Lal, Divya Surendran, Martin Van Damme, Lieven Clarisse, Pierre-François Coheur, Xuejun Liu, Wen Xu, Jize Jiang, and Tapan Kumar Adhya.(2020).Analysis of atmospheric ammonia over South and East Asia based on the MOZART-4 model and its comparison with satellite and surface observations.Atmospheric Chemistry and Physics.
MLA	Pooja V. Pawar, Sachin D. Ghude, Chinmay Jena, Andrea Móring, Mark A. Sutton, Santosh Kulkarni, Deen Mani Lal, Divya Surendran, Martin Van Damme, Lieven Clarisse, Pierre-François Coheur, Xuejun Liu, Wen Xu, Jize Jiang, and Tapan Kumar Adhya."Analysis of atmospheric ammonia over South and East Asia based on the MOZART-4 model and its comparison with satellite and surface observations".Atmospheric Chemistry and Physics (2020).