Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China

Persistent discrepancies exist between bottom-up inventories and satellite-based ammonia (NH<sub>3</sub>) emission estimates, with satellites typically reporting values one-third higher. These discrepancies prevent accurate targeting of NH<sub>3</sub> control policies for reducing air pollution and ecosystem nitrogen deposition. Here, we demonstrate that systematic biases in satellite vertical profile assumptions substantially explain these long-standing discrepancies. By replacing default vertical profile in satellite retrievals with spatially and temporally resolved atmospheric profiles, we reduced satellite-model discrepancies from 71 to 18%. Our hybrid inversion analysis across China reveals that baseline satellite retrievals overestimated growing season emissions by up to 44% due to systematic overestimation of near-surface NH<sub>3</sub> concentrations, while our corrected estimates show close agreement with bottom-up inventories (7.9% difference). Critically, our analysis reveals that China's NH<sub>3</sub> emissions are more spatially concentrated than what the <i>a priori</i> inventory indicates, with the top 10% of high-emitting areas contributing 54-56% of national emissions. This concentration reflects agricultural intensification patterns inadequately captured by bottom-up inventories. Independent validation confirms improved accuracy with 1-27% error reductions across all months. These findings provide essential insights for targeted emission control policies in the most concentrated agricultural regions while resolving methodological uncertainties that have long complicated NH<sub>3</sub> management strategies.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-09-30
DOI
https://doi.org/10.1021/acs.est.5c08278
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
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article

Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China

Shu Min Tao, Peng Xu, Peng Guo, Zhiyu Zheng et al.
Environmental Science & Technology
Atmospheric chemistry and aerosols
article

Vertical Profile Corrections Explain Satellite–Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China

Shu Min Tao, Peng Xu, Peng Guo, Zhiyu Zheng, Qiming Liu, Huizhong Shen, Ruixin Zhang, Yilin Chen, Tian Luan, Zelin Mai
article en

Abstract

Persistent discrepancies exist between bottom-up inventories and satellite-based ammonia (NH<sub>3</sub>) emission estimates, with satellites typically reporting values one-third higher. These discrepancies prevent accurate targeting of NH<sub>3</sub> control policies for reducing air pollution and ecosystem nitrogen deposition. Here, we demonstrate that systematic biases in satellite vertical profile assumptions substantially explain these long-standing discrepancies. By replacing default vertical profile in satellite retrievals with spatially and temporally resolved atmospheric profiles, we reduced satellite-model discrepancies from 71 to 18%. Our hybrid inversion analysis across China reveals that baseline satellite retrievals overestimated growing season emissions by up to 44% due to systematic overestimation of near-surface NH<sub>3</sub> concentrations, while our corrected estimates show close agreement with bottom-up inventories (7.9% difference). Critically, our analysis reveals that China's NH<sub>3</sub> emissions are more spatially concentrated than what the <i>a priori</i> inventory indicates, with the top 10% of high-emitting areas contributing 54-56% of national emissions. This concentration reflects agricultural intensification patterns inadequately captured by bottom-up inventories. Independent validation confirms improved accuracy with 1-27% error reductions across all months. These findings provide essential insights for targeted emission control policies in the most concentrated agricultural regions while resolving methodological uncertainties that have long complicated NH<sub>3</sub> management strategies.

Environmental Science & TechnologyVol. 59(40)
Tianjin University (CN), Peking University (CN), Southern University of Science and Technology (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), Climate Centre (NL), Peking University Shenzhen Hospital (CN)
Openalex Percentile: Top 68%
Atmospheric chemistry and aerosols
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