Articles | Volume 12, issue 11
https://doi.org/10.5194/bg-12-3321-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-3321-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia
T. J. Bohn
CORRESPONDING AUTHOR
School of Earth and Space Exploration, Arizona State University, Tempe, AZ, USA
J. R. Melton
Canadian Centre for Climate Modelling and Analysis, Environment Canada, Victoria, BC, Canada
A. Ito
National Institute for Environmental Studies, Tsukuba, Japan
T. Kleinen
Max Planck Institute for Meteorology, Hamburg, Germany
R. Spahni
Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
B. D. Stocker
Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
Department of Life Sciences, Imperial College, Silwood Park Campus, Ascot, UK
B. Zhang
International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA
Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA
Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
R. Schroeder
City College of New York, City University of New York, New York, NY, USA
Institute of Botany, University of Hohenheim, Stuttgart, Germany
M. V. Glagolev
Moscow State University, Moscow, Russia
Institute of Forest Science, Russian Academy of Sciences, Uspenskoe, Russia
Laboratory of Computational Geophysics, Tomsk State University, Tomsk, Russia
Yugra State University, Khanty-Mantsiysk, Russia
S. Maksyutov
National Institute for Environmental Studies, Tsukuba, Japan
Laboratory of Computational Geophysics, Tomsk State University, Tomsk, Russia
V. Brovkin
Max Planck Institute for Meteorology, Hamburg, Germany
Oak Ridge National Laboratory, Oak Ridge, TN, USA
S. N. Denisov
A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russia
A. V. Eliseev
A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russia
Kazan Federal University, Kazan, Russia
A. Gallego-Sala
Department of Geography, University of Exeter, Exeter, UK
K. C. McDonald
City College of New York, City University of New York, New York, NY, USA
M.A. Rawlins
Department of Geosciences, University of Massachusetts, Amherst, MA, USA
W. J. Riley
Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Z. M. Subin
Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
Q. Zhuang
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA
J. O. Kaplan
Institute of Earth Surface Dynamics, University of Lausanne, Lausanne, Switzerland
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- Partitioning methane flux by the eddy covariance method in a cool temperate bog based on a Bayesian framework M. UEYAMA et al. 10.1016/j.agrformet.2022.108852
- Mapping Onshore CH4 Seeps in Western Siberian Floodplains Using Convolutional Neural Network I. Terentieva et al. 10.3390/rs14112661
- Impacts of climate and reclamation on temporal variations in CH<sub>4</sub> emissions from different wetlands in China: from 1950 to 2010 T. Li et al. 10.5194/bg-12-6853-2015
- A multi-scale comparison of modeled and observed seasonal methane emissions in northern wetlands X. Xu et al. 10.5194/bg-13-5043-2016
- Modeling micro-topographic controls on boreal peatland hydrology and methane fluxes F. Cresto Aleina et al. 10.5194/bg-12-5689-2015
- Consumption of atmospheric methane by the Qinghai–Tibet Plateau alpine steppe ecosystem H. Yun et al. 10.5194/tc-12-2803-2018
- The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
- Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
- Seasonal dynamics of Arctic soils: Capturing year-round processes in measurements and soil biogeochemical models Z. Lyu et al. 10.1016/j.earscirev.2024.104820
- Increasing Methane Emissions From Natural Land Ecosystems due to Sea‐Level Rise X. Lu et al. 10.1029/2017JG004273
- Methane emission from pan-Arctic natural wetlands estimated using a process-based model, 1901–2016 A. Ito 10.1016/j.polar.2018.12.001
- Methane Content in Ground Ice and Sediments of the Kara Sea Coast I. Streletskaya et al. 10.3390/geosciences8120434
- The impact of permafrost on carbon dioxide and methane fluxes in Siberia: A meta-analysis O. Masyagina & O. Menyailo 10.1016/j.envres.2019.109096
- Russian Climate Research in 2015–2018 I. Mokhov 10.1134/S0001433820040064
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Latest update: 21 Nov 2024
Short summary
We evaluated 21 forward models and 5 inversions over western Siberia in terms of CH4 emissions and simulated wetland areas and compared these results to an intensive in situ CH4 flux data set, several wetland maps, and two satellite inundation products. In addition to assembling a definitive collection of methane emissions estimates for the region, we were able to identify the types of wetland maps and model features necessary for accurate simulations of high-latitude wetlands.
We evaluated 21 forward models and 5 inversions over western Siberia in terms of CH4 emissions...
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