High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model
نویسندگان
چکیده
Abstract. Ammonia (NH3) emissions have large impacts on air quality and nitrogen deposition, influencing human health the well-being of sensitive ecosystems. Large uncertainties exist in “bottom-up” NH3 emission inventories due to limited source information a historical lack measurements, hindering assessment NH3-related environmental impacts. The increasing capability satellites measure abundance development modeling tools enable us better constrain estimates at high spatial resolution. In this study, we from widely used 2011 National Emissions Inventory (2011 NEI) US using Infrared Atmospheric Sounding Interferometer column density measurements (IASI-NH3) gridded 36 km by horizontal With hybrid inverse approach, use Community Multiscale Air Quality Modeling System (CMAQ) its multiphase adjoint model optimize April, July, October. Our optimized suggest that total are biased low 26 % NEI April with overestimation Midwest underestimation Southern States. July October, agree well estimates, despite bias hotspot regions. Evaluation inversion performance independent observations shows reduced simulated ambient concentration all 3 months NH4+ wet deposition April. Implementing improves simulating PM2.5 results estimated contribution ammonium nitrate would be priori NEI-based assessments. higher study also imply ecological impact originating emissions.
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ژورنال
عنوان ژورنال: Atmospheric Chemistry and Physics
سال: 2021
ISSN: ['1680-7316', '1680-7324']
DOI: https://doi.org/10.5194/acp-21-2067-2021