Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-5261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Sep 2024
Research article |
| 06 Sep 2024
| 06 Sep 2024
Current potential of CH4 emission estimates using TROPOMI in the Middle East
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Ronald van der A
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Michiel van Weele
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Lotte Bryan
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Department of Geosciences and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Henk Eskes
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Pepijn Veefkind
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Department of Geosciences and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Yongxue Liu
School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China
Xiaojuan Lin
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Tsinghua University, Beijing, China
Jos de Laat
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Jieying Ding
KNMI, Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Viewed
Total article views: 4,500 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Mar 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,224 | 1,105 | 171 | 4,500 | 371 | 242 | 374 |
- HTML: 3,224
- PDF: 1,105
- XML: 171
- Total: 4,500
- Supplement: 371
- BibTeX: 242
- EndNote: 374
Total article views: 2,216 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Sep 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,701 | 430 | 85 | 2,216 | 131 | 119 | 148 |
- HTML: 1,701
- PDF: 430
- XML: 85
- Total: 2,216
- Supplement: 131
- BibTeX: 119
- EndNote: 148
Total article views: 2,284 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Mar 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,523 | 675 | 86 | 2,284 | 240 | 123 | 226 |
- HTML: 1,523
- PDF: 675
- XML: 86
- Total: 2,284
- Supplement: 240
- BibTeX: 123
- EndNote: 226
Viewed (geographical distribution)
Total article views: 4,500 (including HTML, PDF, and XML)
Thereof 4,426 with geography defined
and 74 with unknown origin.
Total article views: 2,216 (including HTML, PDF, and XML)
Thereof 2,158 with geography defined
and 58 with unknown origin.
Total article views: 2,284 (including HTML, PDF, and XML)
Thereof 2,268 with geography defined
and 16 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
10 citations as recorded by crossref.
- Estimating Methane Emissions by Integrating Satellite Regional Emissions Mapping and Point-Source Observations: Case Study in the Permian Basin M. Gao & Z. Xing https://doi.org/10.3390/rs17183143
- Quantifying Methane–Climate Interactions in Eastern Saudi Arabia Using Geospatial and Machine Learning Modeling M. Rahman et al. https://doi.org/10.1109/JSTARS.2026.3668054
- Monitoring Persistent Methane Emissions from the Secunda CTL Synthetic Fuel Plant Using Satellite Observations H. Virta et al. https://doi.org/10.1021/acs.estlett.5c01140
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al. https://doi.org/10.5194/acp-26-1931-2026
- Tropospheric carbon dioxide and methane temporal variability using atmospheric infrared sounding data: a case study of Pakistan B. Zeb et al. https://doi.org/10.1039/D5VA00327J
- Quantifying methane emissions from large coal mine using Sentinel-5 Precursor satellite data and Gaussian plume model Y. Chen et al. https://doi.org/10.1016/j.jag.2026.105491
- Analysis of methane loss rate in the atmosphere over Iran: A regional computational study using CAMS and ERA5 data P. Hamidi Rad & B. Hejazi https://doi.org/10.1007/s00704-026-06495-2
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. https://doi.org/10.3390/rs17183152
- Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
- An explainable artificial intelligence based assessment of differential impacts of road hierarchy on urban emissions in Riyadh City J. Mallick & S. Alqadhi https://doi.org/10.1007/s00477-025-03147-1
10 citations as recorded by crossref.
- Estimating Methane Emissions by Integrating Satellite Regional Emissions Mapping and Point-Source Observations: Case Study in the Permian Basin M. Gao & Z. Xing https://doi.org/10.3390/rs17183143
- Quantifying Methane–Climate Interactions in Eastern Saudi Arabia Using Geospatial and Machine Learning Modeling M. Rahman et al. https://doi.org/10.1109/JSTARS.2026.3668054
- Monitoring Persistent Methane Emissions from the Secunda CTL Synthetic Fuel Plant Using Satellite Observations H. Virta et al. https://doi.org/10.1021/acs.estlett.5c01140
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al. https://doi.org/10.5194/acp-26-1931-2026
- Tropospheric carbon dioxide and methane temporal variability using atmospheric infrared sounding data: a case study of Pakistan B. Zeb et al. https://doi.org/10.1039/D5VA00327J
- Quantifying methane emissions from large coal mine using Sentinel-5 Precursor satellite data and Gaussian plume model Y. Chen et al. https://doi.org/10.1016/j.jag.2026.105491
- Analysis of methane loss rate in the atmosphere over Iran: A regional computational study using CAMS and ERA5 data P. Hamidi Rad & B. Hejazi https://doi.org/10.1007/s00704-026-06495-2
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. https://doi.org/10.3390/rs17183152
- Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
- An explainable artificial intelligence based assessment of differential impacts of road hierarchy on urban emissions in Riyadh City J. Mallick & S. Alqadhi https://doi.org/10.1007/s00477-025-03147-1
Saved (final revised paper)
Latest update: 06 Sep 2026
Short summary
A new divergence method was developed and applied to estimate methane emissions from TROPOMI observations over the Middle East, where it is typically challenging for a satellite to measure methane due to its complicated orography and surface albedo. Our results show the potential of TROPOMI to quantify methane emissions from various sources rather than big emitters from space after objectively excluding the artifacts in the retrieval.
A new divergence method was developed and applied to estimate methane emissions from TROPOMI...
