Articles | Volume 26, issue 1
https://doi.org/10.5194/acp-26-703-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-703-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ammonia emissions and depositions over the contiguous United States derived from IASI and CrIS using the directional derivative approach
Zitong Li
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA
Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, NY, USA
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA
National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, USA
Sheng Wang
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA
Bin Peng
Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA
National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL, USA
Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA
Lieven Clarisse
Université libre de Bruxelles (ULB), BLU-ULB Research Center, Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
Martin Van Damme
Université libre de Bruxelles (ULB), BLU-ULB Research Center, Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Pierre-François Coheur
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Karen Cady-Pereira
Atmospheric and Environmental Research, Lexington, MA, USA
Mark W. Shephard
Environment and Climate Change Canada, Toronto, ON, Canada
Mark Zondlo
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Daniel Moore
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
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Short summary
We estimate ammonia fluxes over the contiguous U.S. from 2008 to 2022 using a directional derivative approach applied to satellite observations from the Infrared Atmospheric Sounding Interferometer (IASI) and Cross-track Infrared Sounder (CrIS). The resulting flux estimates reveal pronounced seasonal and spatial patterns driven by agricultural activities and indicate substantial local deposition to surrounding vegetation, underscoring the need for improved monitoring and management strategies.
We estimate ammonia fluxes over the contiguous U.S. from 2008 to 2022 using a directional...
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