South Asia anthropogenic ammonia emission inversion through assimilating IASI observations

Xia, Ji; Zhou, Yi; Fang, Li; Qi, Yingfei; Li, Dehao; Liao, Hong; Jin, Jianbing

doi:https://doi.org/10.5194/acp-25-7071-2025

Articles | Volume 25, issue 13

https://doi.org/10.5194/acp-25-7071-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-7071-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 13

Research article

|

10 Jul 2025

Research article |

| 10 Jul 2025

South Asia anthropogenic ammonia emission inversion through assimilating IASI observations

Ji Xia, Yi Zhou, Li Fang, Yingfei Qi, Dehao Li, Hong Liao, and Jianbing Jin

Supplement

https://doi.org/10.5194/acp-25-7071-2025-supplement

Data sets

south Asia ammonia emission inventory J. Xia https://doi.org/10.5281/zenodo.14979151

Near-real time daily IASI/Metop-A ULB-LATMOS am monia (NH3) L2 product (total column) AERIS https://doi.org/10.25326/10

Near-real time daily IASI/Metop-B ULB-LATMOS am monia (NH3) L2 product (total column) AERIS https://doi.org/10.25326/11

Near-real time daily IASI/Metop-C ULB-LATMOS am monia (NH3) L2 product (total column) AERIS https://doi.org/10.25326/67

Time Series Air Quality Data of India (2010–2023) A. S. Jha https://www.kaggle.com/datasets/abhisheksjha/time-series-air-quality-data-of-india-2010-2023

Ammonia measurements from space with the Cross-track Infrared Sounder: characteristics and applications (https://hpfx.collab.science.gc.ca/~mas001/satellite_ext/cris/) M. W. Shephard et al. https://doi.org/10.5194/acp-20-2277-2020

Model code and software

4DEnVar code for ammonia emission inversion J. Jin https://doi.org/10.5281/zenodo.7015397

Download

Article (5411 KB)
Full-text XML

Short summary

This study established an ammonia emission inventory for South Asia via an assimilation-based inversion system. The posterior emissions, calculated by integrating the anthropogenic inventory and satellite observations, showed significant improvement over the prior. Validation against various measurements supports our results. The study offers a deep understanding of ammonia emissions for policymakers and researchers aiming to develop air quality management and mitigation strategies for South Asia.