Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-925-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-925-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Mar 2017
Research article |
| 10 Mar 2017
Space-based NOx emission estimates over remote regions improved in DECSO
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Department of Geoscience and Remote Sensing (GRS), Delft University of Technology, Delft, the Netherlands
Ronald Johannes van der A
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
School of Atmospheric Physics, Nanjing University of Information Sciences and Technology, Nanjing,
China
Bas Mijling
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Pieternel Felicitas Levelt
R&D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Department of Geoscience and Remote Sensing (GRS), Delft University of Technology, Delft, the Netherlands
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- Changes in US background ozone associated with the 2011 turnaround in Chinese NOx emissions K. Miyazaki et al. 10.1088/2515-7620/ac619b
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- Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
- Estimating city NOX emissions from TROPOMI high spatial resolution observations – A case study on Yangtze River Delta, China R. Xue et al. 10.1016/j.uclim.2022.101150
- 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
- Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. 10.1002/2017GL076788
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
- High-resolution mapping of nitrogen oxide emissions in large US cities from TROPOMI retrievals of tropospheric nitrogen dioxide columns F. Liu et al. 10.5194/acp-24-3717-2024
- Spatial and temporal changes of the ozone sensitivity in China based on satellite and ground-based observations W. Wang et al. 10.5194/acp-21-7253-2021
- Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China H. Kang et al. 10.1016/j.atmosres.2018.09.012
- Evaluation of modeling NO2 concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
- Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
- Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China M. Ali et al. 10.1016/j.atmosenv.2022.119297
- Estimating the variability in NOx emissions from Wuhan with TROPOMI NO2 data during 2018 to 2023 Q. Zhang et al. 10.5194/acp-25-3313-2025
- The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China C. Fan et al. 10.3390/rs12101613
- Exploring the influence of two inventories on simulated air pollutants during winter over the Yangtze River Delta T. Sha et al. 10.1016/j.atmosenv.2019.03.006
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes F. Cifuentes et al. 10.5194/gmd-18-621-2025
- Source contributions of surface ozone in China using an adjoint sensitivity analysis M. Wang et al. 10.1016/j.scitotenv.2019.01.116
- High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
- Hybrid Mass Balance/4D‐Var Joint Inversion of NOx and SO2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
- A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: a model study F. Liu et al. 10.5194/acp-22-1333-2022
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Latest update: 24 Apr 2025
Short summary
We improve the DECSO algorithm for NOx emission estimates from satellite observations, especially over remote regions. The accuracy is about 20 percent for monthly NOx emissions with a spatial resolution of 0.25 degrees. We are able to distinguish ship emissions below the outflow of NO2 from the mainland of China.
We improve the DECSO algorithm for NOx emission estimates from satellite observations,...
