Articles | Volume 13, issue 23
https://doi.org/10.5194/acp-13-11609-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-11609-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Dec 2013
Research article |
| 02 Dec 2013
Stable atmospheric methane in the 2000s: key-role of emissions from natural wetlands
Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA/CNRS/UVSQ, UMR8212, Gif-sur-Yvette, France
B. Ringeval
Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA/CNRS/UVSQ, UMR8212, Gif-sur-Yvette, France
Institute of Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Department of Systems Ecology, Vrije Universiteit, Amsterdam, the Netherlands
now at: INRA, UMR1220 TCEM, 33883 Villenave d'Ornon, France
P. Bousquet
Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA/CNRS/UVSQ, UMR8212, Gif-sur-Yvette, France
C. Prigent
Laboratoire d'Études du Rayonnement et de la Matière en Astrophysique, Observatoire de Paris, CNRS, Paris, France
F. Papa
Laboratoire d'Études en Géophysique et Océanographie Spatiales, Institut de Recherche pour le Développement, Toulouse, France
Indo-French Cell for Water Sciences, IRD-IISc Joint International Laboratory, Indian Institute of Science, Bangalore, India
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- Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data R. Schroeder et al. 10.3390/rs71215843
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- Role of OH variability in the stalling of the global atmospheric CH<sub>4</sub> growth rate from 1999 to 2006 J. McNorton et al. 10.5194/acp-16-7943-2016
- Spatiotemporal variability of methane over the Amazon from satellite observations I. Ribeiro et al. 10.1007/s00376-016-5138-7
- Methane emissions from global rice fields: Magnitude, spatiotemporal patterns, and environmental controls B. Zhang et al. 10.1002/2016GB005381
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- CH4 exchanges of the natural ecosystems in China during the past three decades: The role of wetland extent and its dynamics D. Wei & X. Wang 10.1002/2016JG003418
- Contribution of regional sources to atmospheric methane over the Amazon Basin in 2010 and 2011 C. Wilson et al. 10.1002/2015GB005300
- A multi-year methane inversion using SCIAMACHY, accounting for systematic errors using TCCON measurements S. Houweling et al. 10.5194/acp-14-3991-2014
- The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
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- Can we detect regional methane anomalies? A comparison between three observing systems C. Cressot et al. 10.5194/acp-16-9089-2016
- Ambiguity in the causes for decadal trends in atmospheric methane and hydroxyl A. Turner et al. 10.1073/pnas.1616020114
- Methane emissions from global wetlands: An assessment of the uncertainty associated with various wetland extent data sets B. Zhang et al. 10.1016/j.atmosenv.2017.07.001
- Contribution of oil and natural gas production to renewed increase in atmospheric methane (2007–2014): top–down estimate from ethane and methane column observations P. Hausmann et al. 10.5194/acp-16-3227-2016
- Atmospheric methane evolution the last 40 years S. Dalsøren et al. 10.5194/acp-16-3099-2016
- Satellite‐Derived Global Surface Water Extent and Dynamics Over the Last 25 Years (GIEMS‐2) C. Prigent et al. 10.1029/2019JD030711
- Can we explain the observed methane variability after the Mount Pinatubo eruption? N. Bândă et al. 10.5194/acp-16-195-2016
- Eddy Covariance Measurements of Methane Flux at a Tropical Peat Forest in Sarawak, Malaysian Borneo A. Tang et al. 10.1029/2017GL076457
- What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
- Comparisons of Global Terrestrial Surface Water Datasets over 15 Years B. Pham-Duc et al. 10.1175/JHM-D-16-0206.1
- Hiatus of wetland methane emissions associated with recent La Niña episodes in the Asian monsoon region X. Zhang et al. 10.1007/s00382-020-05219-0
- Insights from year-long measurements of air–water CH<sub>4</sub> and CO<sub>2</sub> exchange in a coastal environment M. Yang et al. 10.5194/bg-16-961-2019
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- Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
- Satellite‐derived methane emissions from inundation in Bangladesh C. Peters et al. 10.1002/2016JG003740
- SCIAMACHY observed changes in the column mixing ratio of methane over the Indian region and a comparison with global scenario M. Kavitha & P. Nair 10.1016/j.atmosenv.2017.07.044
- A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) A. Bloom et al. 10.5194/gmd-10-2141-2017
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- Estimating global natural wetland methane emissions using process modelling: spatio‐temporal patterns and contributions to atmospheric methane fluctuations Q. Zhu et al. 10.1111/geb.12307
- Interannual variation in methane emissions from tropical wetlands triggered by repeated El Niño Southern Oscillation Q. Zhu et al. 10.1111/gcb.13726
- Methane Feedbacks to the Global Climate System in a Warmer World J. Dean et al. 10.1002/2017RG000559
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