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Global atmospheric inversion of the anthropogenic NH.sub.3 emissions over 2019-2022 using the LMDZ-INCA chemistry transport model and the IASI NH.sub.3 observations
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Global atmospheric inversion of the anthropogenic NH.sub.3 emissions over 2019-2022 using the LMDZ-INCA chemistry transport model and the IASI NH.sub.3 observations
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Global atmospheric inversion of the anthropogenic NH.sub.3 emissions over 2019-2022 using the LMDZ-INCA chemistry transport model and the IASI NH.sub.3 observations
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Journal Article
Global atmospheric inversion of the anthropogenic NH.sub.3 emissions over 2019-2022 using the LMDZ-INCA chemistry transport model and the IASI NH.sub.3 observations
2025
Overview
Ammonia (NH.sub.3) emissions have been on a continuous rise due to extensive fertilizer usage in agriculture and increasing production of manure and livestock. However, the current global-to-national NH.sub.3 emission inventories exhibit large uncertainties. We provide atmospheric inversion estimates of the global NH.sub.3 emissions over 2019-2022 at 1.27° x 2.5° horizontal and daily (at 10 d scale) resolution. We use IASI-ANNI-NH3-v4 satellite observations, simulations of NH.sub.3 concentrations with the chemistry transport model LMDZ-INCA, and the finite difference mass-balance approach for inversions of global NH.sub.3 emissions. We take advantage of the averaging kernels provided in the IASI-ANNI-NH3-v4 dataset by applying them consistently to the LMDZ-INCA NH.sub.3 simulations for comparison to the observations and then to invert emissions. The average global anthropogenic NH.sub.3 emissions over 2019-2022 are estimated as â¼97 (94-100) Tg yr.sup.-1, which is â¼61 % (â¼55 %-65 %) higher than the prior Community Emissions Data System (CEDS) inventory's anthropogenic NH.sub.3 emissions and significantly higher than two other global inventories: CAMS's anthropogenic NH.sub.3 emissions (by a factor of â¼1.8) and the Calculation of AMmonia Emissions in ORCHIDEE (CAMEO) agricultural and natural soil NH.sub.3 emissions (by â¼1.4 times). The global and regional budgets are mostly within the range of other inversion estimates. The analysis provides confidence in their seasonal variability and continental- to regional-scale budgets. Our analysis shows a rise in NH.sub.3 emissions by â¼5 % to â¼37 % during the COVID-19 lockdowns in 2020 over different regions compared to the same-period emissions in 2019. However, this rise is probably due to a decrease in atmospheric NH.sub.3 sinks due to the decline in NO.sub.x and SO.sub.2 emissions during the lockdowns.
Publisher
Copernicus GmbH
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