Global nitrogen and sulfur deposition mapping using a measurement–model fusion approach

Rubin, Hannah J.; Fu, Joshua S.; Dentener, Frank; Li, Rui; Huang, Kan; Fu, Hongbo

doi:https://doi.org/10.5194/acp-23-7091-2023

Articles | Volume 23, issue 12

https://doi.org/10.5194/acp-23-7091-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-7091-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 12

Research article

|

27 Jun 2023

Research article |

| 27 Jun 2023

Global nitrogen and sulfur deposition mapping using a measurement–model fusion approach

Hannah J. Rubin, Joshua S. Fu, Frank Dentener, Rui Li, Kan Huang, and Hongbo Fu

Supplement

https://doi.org/10.5194/acp-23-7091-2023-supplement

Data sets

Environment and Climate Change Canada Data: CAPMoN observations Government of Canada https://donnees.ec.gc.ca/data/air/monitor/

CAM-chem: description and evaluation of interactive atmospheric chemistry in the Community Earth System Model J.-F. Lamarque, L. K. Emmons, P. G. Hess, D. E. Kinnison, S. Tilmes, F. Vitt, C. L. Heald, E. A. Holland, P. H. Lauritzen, J. Neu, J. J. Orlando, P. J. Rasch, and G. K. Tyndall https://doi.org/10.5194/gmd-5-369-2012

Wet deposition of inorganic ions in 320 cities across China: spatio-temporal variation, source apportionment, and dominant factors R. Li, L. Cui, Y. Zhao, Z. Zhang, T. Sun, J. Li, W. Zhou, Y. Meng, K. Huang, and H. Fu https://doi.org/10.5194/acp-19-11043-2019

AIRMoN observations: AIRMoN Data National Atmospheric Deposition Program (NADP) https://nadp2.slh.wisc.edu/data/AIRMoN/

Multi-model study of HTAP II on sulfur and nitrogen deposition J. Tan, J. S. Fu, F. Dentener, J. Sun, L. Emmons, S. Tilmes, K. Sudo, J. Flemming, J. E. Jonson, S. Gravel, H. Bian, Y. Davila, D. K. Henze, M. T. Lund, T. Kucsera, T. Takemura, and T. Keating https://doi.org/10.5194/acp-18-6847-2018

CASTNET observations: CASTNET US Environmental Protection Agency (EPA) https://www.epa.gov/castnet/download-data

Model code and software

Rubin_et_al_ACP2023 H. J. Rubin https://github. com/HJRubin/Rubin_et_al_ACP2023

CMAQ US Environmental Protection Agency (EPA) https://github.com/USEPA/CMAQ

Download

Article (1574 KB)
Full-text XML

Short summary

We update the 2010 global deposition budget for nitrogen (N) and sulfur (S) with new regional wet deposition measurements, improving the ensemble results of 11 global chemistry transport models from HTAP II. Our study demonstrates that a global measurement–model fusion approach can substantially improve N and S deposition model estimates at a regional scale and represents a step forward toward the WMO goal of global fusion products for accurately mapping harmful air pollution.