<p>Accurate ammonia (NH<sub>3</sub>) emission inventories are essential for assessing environmental impacts. Currently, commonly used bottom-up inventories contain substantial uncertainties, particularly in those less-developed regions such as South America and Africa. This study presents a global NH<sub>3</sub> emission inversion in 2022 by assimilating Infrared Atmospheric Sounding Interferometer (IASI) retrievals into the GEOS-Chem model at 2° × 2.5° resolution. The inversion results indicate that the prior inventory, constructed from the Community Emissions Data System (CEDS) and the Global Fire Emissions Database (GFED), generally captures NH<sub>3</sub> emissions' spatial distribution but systematically underestimates emission intensity in South America and Africa. Posterior emissions, defined as the optimized ammonia emission estimates obtained by assimilating satellite observations into the prior inventory, reveal the upward trend in South America, where growing season fluxes exceed 0.2 g/m<sup>2</sup> per month and peak values surpass 0.5 g/m<sup>2</sup> per month, corresponding to relative increases of approximately 100–200% compared to prior estimates. Africa also exhibits pronounced increases, with maximum monthly emissions exceeding 0.5 g/m<sup>2</sup> per month, representing approximately a twofold enhancement compared to prior estimates (0.2–0.3 g/m<sup>2</sup> per month). The posterior inventory also captures seasonal variability more realistically, with approximately 100% increases during peak emission periods in both regions.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Global ammonia emission inversion in 2022 via assimilating IASI observations

  • Mi Chen,
  • Weihong Zhang,
  • Wei Han,
  • Ji Xia,
  • Jianbing Jin

摘要

Accurate ammonia (NH3) emission inventories are essential for assessing environmental impacts. Currently, commonly used bottom-up inventories contain substantial uncertainties, particularly in those less-developed regions such as South America and Africa. This study presents a global NH3 emission inversion in 2022 by assimilating Infrared Atmospheric Sounding Interferometer (IASI) retrievals into the GEOS-Chem model at 2° × 2.5° resolution. The inversion results indicate that the prior inventory, constructed from the Community Emissions Data System (CEDS) and the Global Fire Emissions Database (GFED), generally captures NH3 emissions' spatial distribution but systematically underestimates emission intensity in South America and Africa. Posterior emissions, defined as the optimized ammonia emission estimates obtained by assimilating satellite observations into the prior inventory, reveal the upward trend in South America, where growing season fluxes exceed 0.2 g/m2 per month and peak values surpass 0.5 g/m2 per month, corresponding to relative increases of approximately 100–200% compared to prior estimates. Africa also exhibits pronounced increases, with maximum monthly emissions exceeding 0.5 g/m2 per month, representing approximately a twofold enhancement compared to prior estimates (0.2–0.3 g/m2 per month). The posterior inventory also captures seasonal variability more realistically, with approximately 100% increases during peak emission periods in both regions.