High-resolution Hybrid Inversion of IASI Ammonia Columns to Constrain US Ammonia Emissions Using the CMAQ Adjoint Model

0540103 - ÚI 2022 RIV DE eng J - Článek v odborném periodiku
Chen, Y. - Shen, H. - Kaiser, J. - Hu, Y. - Capps, S. L. - Zhao, S. - Hakami, A. - Shih, J. S. - Pavur, G. K. - Turner, M.D. - Henze, D. K. - Resler, Jaroslav - Nenes, A. - Napelenok, S. - Bash, J. - Fahey, K. - Carmichael, G. R. - Chai, T. - Clarisse, L. - Coheur, P. F. - Van Damme, M. - Russel, A.
High-resolution Hybrid Inversion of IASI Ammonia Columns to Constrain US Ammonia Emissions Using the CMAQ Adjoint Model.
Atmospheric Chemistry and Physics. Roč. 21, č. 3 (2021), s. 2067-2082. ISSN 1680-7316. E-ISSN 1680-7324
Institucionální podpora: RVO:67985807
Klíčová slova: CMAQ * adjoint * ammonia * satellite * inversion modelling
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 7.197, rok: 2021
Způsob publikování: Open access
http://dx.doi.org/10.5194/acp-21-2067-2021

Ammonia (NH3) emissions have large impacts on air quality and nitrogen deposition, influencing human health and the well-being of sensitive ecosystems. Large uncertainties exist in the “bottom-up” NH3 emission inventories due to limited source information and a historical lack of measurements, hindering the assessment of NH3-related environmental impacts. The increasing capability of satellites to measure NH3 abundance and the development of modeling tools enable us to better constrain NH3 emission estimates at high spatial resolution. In this study, we constrain the NH3 emission estimates from the widely used 2011 National Emissions Inventory (2011 NEI) in the US using Infrared Atmospheric Sounding Interferometer NH3 column density measurements (IASI-NH3) gridded at a 36 km by 36 km horizontal resolution. With a hybrid inverse modeling approach, we use the Community Multiscale Air Quality Modeling System (CMAQ) and its multiphase adjoint model to optimize NH3 emission estimates in April, July, and October. Our optimized emission estimates suggest that the total NH3 emissions are biased low by 26 % in 2011 NEI in April with overestimation in the Midwest and underestimation in the Southern States. In July and October, the estimates from NEI agree well with the optimized emission estimates, despite a low bias in hotspot regions. Evaluation of the inversion performance using independent observations shows reduced underestimation in simulated ambient NH3 concentration in all 3 months and reduced underestimation in NH+4 wet deposition in April. Implementing the optimized NH3 emission estimates improves the model performance in simulating PM2.5 concentration in the Midwest in April. The model results suggest that the estimated contribution of ammonium nitrate would be biased high in a priori NEI-based assessments. The higher emission estimates in this study also imply a higher ecological impact of nitrogen deposition originating from NH3 emissions.
Trvalý link: http://hdl.handle.net/11104/0317763