EGU26-65, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-65
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Thursday, 07 May, 14:00–15:45 (CEST), Display time Thursday, 07 May, 14:00–18:00
 
Hall X5, X5.42
Vertical Profile Corrections Explain Satellite-Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China
Yilin Chen1, Qiming Liu2, Peng Xu3, Huizhong Shen2, Zelin Mai2, Ruixin Zhang2, Peng Guo2, Zhiyu Zheng2, Tiancheng Luan2, and Shu Tao2,4
Yilin Chen et al.
  • 1Peking University Shenzhen Graduate School, School of Urban Planning, Shenzhen, China (ylchen2023@pku.edu.cn)
  • 2Southern University of Science and Technology, School of Environmental Science and Engineering, Shenzhen, China
  • 3Tianjin University, Institute of Surface–Earth System Science, School of Earth System Science, Tianjin , China
  • 4Peking University, College of Urban and Environmental Sciences, Beijing , China

Persistent discrepancies exist between bottom-up inventories and satellite-based ammonia (NH3) emission estimates, with satellites typically reporting values one-third higher. These discrepancies prevent accurate targeting of NH3 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 NH3 concentrations, while our corrected estimates show close agreement with bottom-up inventories (7.9% difference). Critically, our analysis reveals that China’s NH3 emissions are more spatially concentrated than the a priori 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 NH3 management strategies.

How to cite: Chen, Y., Liu, Q., Xu, P., Shen, H., Mai, Z., Zhang, R., Guo, P., Zheng, Z., Luan, T., and Tao, S.: Vertical Profile Corrections Explain Satellite-Inventory Ammonia Discrepancies and Reveal Concentrated Agricultural Sources in China, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-65, https://doi.org/10.5194/egusphere-egu26-65, 2026.