Articles | Volume 18, issue 2
https://doi.org/10.5194/bg-18-557-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-557-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jan 2021
Research article |
| 22 Jan 2021
| 22 Jan 2021
Using satellite data to identify the methane emission controls of South Sudan's wetlands
Earth Group, SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Sander Houweling
Earth Group, SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam,
the Netherlands
Alba Lorente
Earth Group, SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Tobias Borsdorff
Earth Group, SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Maria Tsivlidou
Laboratoire d'Aérologie, Université de Toulouse, CNRS, IRD, UT3, Toulouse, France
A. Anthony Bloom
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Benjamin Poulter
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Zhen Zhang
Department of Geographical Sciences, University of Maryland, College
Park, MD 20740, USA
Ilse Aben
Earth Group, SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Viewed
Total article views: 3,572 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jul 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,417 | 1,101 | 54 | 3,572 | 64 | 60 |
- HTML: 2,417
- PDF: 1,101
- XML: 54
- Total: 3,572
- BibTeX: 64
- EndNote: 60
Total article views: 2,982 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jan 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,148 | 790 | 44 | 2,982 | 51 | 44 |
- HTML: 2,148
- PDF: 790
- XML: 44
- Total: 2,982
- BibTeX: 51
- EndNote: 44
Total article views: 590 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jul 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 269 | 311 | 10 | 590 | 13 | 16 |
- HTML: 269
- PDF: 311
- XML: 10
- Total: 590
- BibTeX: 13
- EndNote: 16
Viewed (geographical distribution)
Total article views: 3,572 (including HTML, PDF, and XML)
Thereof 3,283 with geography defined
and 289 with unknown origin.
Total article views: 2,982 (including HTML, PDF, and XML)
Thereof 2,737 with geography defined
and 245 with unknown origin.
Total article views: 590 (including HTML, PDF, and XML)
Thereof 546 with geography defined
and 44 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
28 citations as recorded by crossref.
- Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993–2017 Z. Zhang et al. 10.1093/nsr/nwab200
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
- Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
- Drivers and impacts of Eastern African rainfall variability P. Palmer et al. 10.1038/s43017-023-00397-x
- Investigating high methane emissions from urban areas detected by TROPOMI and their association with untreated wastewater B. de Foy et al. 10.1088/1748-9326/acc118
- Challenges and opportunities in the global methane cycle S. Peng 10.1016/j.isci.2023.106878
- Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021 L. Feng et al. 10.5194/acp-23-4863-2023
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes 10.1109/JSTARS.2023.3247246
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
- Evaluation of wetland CH4in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. 10.5194/bg-19-5779-2022
- Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. 10.5194/acp-23-1545-2023
- Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal M. Li et al. 10.1021/acs.est.3c09250
- Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
- Improving Representation of Tropical Wetland Methane Emissions With CYGNSS Inundation Maps C. Gerlein‐Safdi et al. 10.1029/2020GB006890
- Atmospheric data support a multi-decadal shift in the global methane budget towards natural tropical emissions A. Drinkwater et al. 10.5194/acp-23-8429-2023
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- RadWet: An Improved and Transferable Mapping of Open Water and Inundated Vegetation Using Sentinel-1 G. Oakes et al. 10.3390/rs15061705
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. 10.1021/acs.estlett.1c00327
- Modeling riparian flood plain wetland water richness in pursuance of damming and linking it with a methane emission rate S. Pal & R. Sarda 10.1080/10106049.2021.1988726
- Isotopic signatures of methane emissions from tropical fires, agriculture and wetlands: the MOYA and ZWAMPS flights E. Nisbet et al. 10.1098/rsta.2021.0112
- Satellite data reveal how Sudd wetland dynamics are linked with globally-significant methane emissions A. Hardy et al. 10.1088/1748-9326/ace272
- Data driven analysis of atmospheric methane concentrations as function of geographic, land cover type and season C. Karoff & A. Vara-Vela 10.3389/feart.2023.1119977
- Satellite-Derived Estimate of City-Level Methane Emissions from Calgary, Alberta, Canada Z. Xing et al. 10.3390/rs16071149
- Rain-fed pulses of methane from East Africa during 2018–2019 contributed to atmospheric growth rate M. Lunt et al. 10.1088/1748-9326/abd8fa
- Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions S. Ma et al. 10.1029/2021AV000408
26 citations as recorded by crossref.
- Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993–2017 Z. Zhang et al. 10.1093/nsr/nwab200
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
- Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
- Drivers and impacts of Eastern African rainfall variability P. Palmer et al. 10.1038/s43017-023-00397-x
- Investigating high methane emissions from urban areas detected by TROPOMI and their association with untreated wastewater B. de Foy et al. 10.1088/1748-9326/acc118
- Challenges and opportunities in the global methane cycle S. Peng 10.1016/j.isci.2023.106878
- Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021 L. Feng et al. 10.5194/acp-23-4863-2023
- Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
- Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions L. Zimmerman & J. Kerekes 10.1109/JSTARS.2023.3247246
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
- Evaluation of wetland CH4in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. 10.5194/bg-19-5779-2022
- Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies A. Feldman et al. 10.5194/acp-23-1545-2023
- Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal M. Li et al. 10.1021/acs.est.3c09250
- Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
- Improving Representation of Tropical Wetland Methane Emissions With CYGNSS Inundation Maps C. Gerlein‐Safdi et al. 10.1029/2020GB006890
- Atmospheric data support a multi-decadal shift in the global methane budget towards natural tropical emissions A. Drinkwater et al. 10.5194/acp-23-8429-2023
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- RadWet: An Improved and Transferable Mapping of Open Water and Inundated Vegetation Using Sentinel-1 G. Oakes et al. 10.3390/rs15061705
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. 10.1021/acs.estlett.1c00327
- Modeling riparian flood plain wetland water richness in pursuance of damming and linking it with a methane emission rate S. Pal & R. Sarda 10.1080/10106049.2021.1988726
- Isotopic signatures of methane emissions from tropical fires, agriculture and wetlands: the MOYA and ZWAMPS flights E. Nisbet et al. 10.1098/rsta.2021.0112
- Satellite data reveal how Sudd wetland dynamics are linked with globally-significant methane emissions A. Hardy et al. 10.1088/1748-9326/ace272
- Data driven analysis of atmospheric methane concentrations as function of geographic, land cover type and season C. Karoff & A. Vara-Vela 10.3389/feart.2023.1119977
- Satellite-Derived Estimate of City-Level Methane Emissions from Calgary, Alberta, Canada Z. Xing et al. 10.3390/rs16071149
2 citations as recorded by crossref.
Latest update: 23 Apr 2024
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(2503 KB) - Full-text XML
Short summary
We use atmospheric methane observations from the novel TROPOspheric Monitoring Instrument (TROPOMI; Sentinel-5p) to estimate methane emissions from South Sudan's wetlands. Our emission estimates are an order of magnitude larger than the estimate of process-based wetland models. We find that this underestimation by the models is likely due to their misrepresentation of the wetlands' inundation extent and temperature dependences.
We use atmospheric methane observations from the novel TROPOspheric Monitoring Instrument...
Altmetrics
Final-revised paper
Preprint