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
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- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
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- A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B Z. He et al. 10.5194/amt-17-2937-2024
- 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
- Assessment of methane levels throughout a temperate reservoir area using remote sensing data O. Nikitin et al. 10.1051/e3sconf/202455501009
- 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
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
- 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
- The methane imperative D. Shindell et al. 10.3389/fsci.2024.1349770
- 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
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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...
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