Articles | Volume 22, issue 2
https://doi.org/10.5194/acp-22-951-2022
© Author(s) 2022. 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-22-951-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data assimilation of CrIS NH3 satellite observations for improving spatiotemporal NH3 distributions in LOTOS-EUROS
Shelley van der Graaf
CORRESPONDING AUTHOR
Earth and Climate Cluster, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Enrico Dammers
Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Arjo Segers
Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Richard Kranenburg
Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Martijn Schaap
Climate, Air and Sustainability, TNO, Utrecht, the Netherlands
Institute of Meteorology, Freie Universität Berlin, Berlin, Germany
Mark W. Shephard
Environment and Climate Change Canada, Toronto, Ontario, Canada
Jan Willem Erisman
Institute of Environmental Sciences, Universiteit Leiden, Leiden, the Netherlands
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Cited
10 citations as recorded by crossref.
- Dynamic inversion and correction of ammonia pressure within the range 6611–6614 cm−1 Q. Li et al. 10.1016/j.measurement.2024.114743
- Estimation of Ammonia Emissions over China Using IASI Satellite-Derived Surface Observations J. Chen et al. 10.1021/acs.est.4c10878
- Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018 Z. Luo et al. 10.5194/acp-22-10375-2022
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
- Infrared Satellite Detection Limits for Monitoring Atmospheric Ammonia M. Shephard et al. 10.1109/JSTARS.2025.3557240
- Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations J. Chen et al. 10.3389/fenvs.2023.1133753
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- 4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals J. Jin et al. 10.1088/1748-9326/acb835
- 4D‐Var Inversion of European NH3 Emissions Using CrIS NH3 Measurements and GEOS‐Chem Adjoint With Bi‐Directional and Uni‐Directional Flux Schemes H. Cao et al. 10.1029/2021JD035687
9 citations as recorded by crossref.
- Dynamic inversion and correction of ammonia pressure within the range 6611–6614 cm−1 Q. Li et al. 10.1016/j.measurement.2024.114743
- Estimation of Ammonia Emissions over China Using IASI Satellite-Derived Surface Observations J. Chen et al. 10.1021/acs.est.4c10878
- Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018 Z. Luo et al. 10.5194/acp-22-10375-2022
- CHEEREIO 1.0: a versatile and user-friendly ensemble-based chemical data assimilation and emissions inversion platform for the GEOS-Chem chemical transport model D. Pendergrass et al. 10.5194/gmd-16-4793-2023
- Infrared Satellite Detection Limits for Monitoring Atmospheric Ammonia M. Shephard et al. 10.1109/JSTARS.2025.3557240
- Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations J. Chen et al. 10.3389/fenvs.2023.1133753
- Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- 4DEnVar-based inversion system for ammonia emission estimation in China through assimilating IASI ammonia retrievals J. Jin et al. 10.1088/1748-9326/acb835
Latest update: 10 Jun 2025
Short summary
CrIS NH3 satellite observations are assimilated into the LOTOS-EUROS model using two different methods. In the first method the data are used to fit spatially varying NH3 emission time factors. In the second method a local ensemble transform Kalman filter is used. Compared to in situ observations, combining both methods led to the most significant improvements in the modeled concentrations and deposition, illustrating the usefulness of CrIS NH3 to improve the spatiotemporal distribution of NH3.
CrIS NH3 satellite observations are assimilated into the LOTOS-EUROS model using two different...
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