Articles | Volume 19, issue 18
Research article
26 Sep 2019
Research article |  | 26 Sep 2019

Estimating global surface ammonia concentrations inferred from satellite retrievals

Lei Liu, Xiuying Zhang, Anthony Y. H. Wong, Wen Xu, Xuejun Liu, Yi Li, Huan Mi, Xuehe Lu, Limin Zhao, Zhen Wang, Xiaodi Wu, and Jing Wei

Data sets

Version 2 of the IASI NH3 neural network retrieval algorithm: near-real-time and reanalysed datasets M. Van Damme, S. Whitburn, L. Clarisse, C. Clerbaux, D. Hurtmans, and P.-F. Coheur

Industrial and agricultural ammonia point sources exposed, M. Van Damme, L. Clarisse, S. Whitburn, J. Hadji-Lazaro, D. Hurtmans, C. Clerbaux, and P.-F. Coheur

Field inter-comparison of eleven atmospheric ammonia measurement techniques K. von Bobrutzki, C. F. Braban, D. Famulari, S. K. Jones, T. Blackall, T. E. L. Smith, M. Blom, H. Coe, M. Gallagher, M. Ghalaieny, M. R. McGillen, C. J. Percival, J. D. Whitehead, R. Ellis, J. Murphy, A. Mohacsi, A. Pogany, H. Junninen, S. Rantanen, M. A. Sutton, and E. Nemitz

Short summary
Agricultural production has greatly increased emissions of ammonia (NH3) to the atmosphere. Sparse measurements of surface NH3 concentrations make it challenging and difficult to understand the global distribution of surface NH3 concentrations in both time and space. Estimating surface NH3 concentrations is critically important for modeling the dry deposition of NH3, which has important impacts on the natural environment. This paper provides the satellite-based global assessment of surface NH3.
Final-revised paper