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Volume 13, issue 5
Biogeosciences, 13, 1387–1408, 2016
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 1387–1408, 2016
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article 04 Mar 2016
Research article | 04 Mar 2016
Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties
Zhen Zhang et al.
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Cited
18 citations as recorded by crossref.
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Converging Climate Sensitivities of European Forests Between Observed Radial Tree Growth and Vegetation Models Z. Zhang et al. 10.1007/s10021-017-0157-5
- Missing pieces to modeling the Arctic-Boreal puzzle J. Fisher et al. 10.1088/1748-9326/aa9d9a
- Isotopic source signatures: Impact of regional variability on the δ13CH4 trend and spatial distribution A. Feinberg et al. 10.1016/j.atmosenv.2017.11.037
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
- Prediction of CH4 emissions from potential natural wetlands on the Tibetan Plateau during the 21st century T. Li et al. 10.1016/j.scitotenv.2018.11.275
- Emerging role of wetland methane emissions in driving 21st century climate change Z. Zhang et al. 10.1073/pnas.1618765114
- Origin and preservation of bacteriohopanepolyol signatures in Sphagnum peat from Bissendorfer Moor (Germany) H. Talbot et al. 10.1016/j.orggeochem.2016.04.011
- An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor T. Gumbricht et al. 10.1111/gcb.13689
- Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event Z. Zhang et al. 10.1088/1748-9326/aac939
- Modelling northern peatland area and carbon dynamics since the Holocene with the ORCHIDEE-PEAT land surface model (SVN r5488) C. Qiu et al. 10.5194/gmd-12-2961-2019
- Enhanced methane emissions from tropical wetlands during the 2011 La Niña S. Pandey et al. 10.1038/srep45759
- The Arctic-Boreal vulnerability experiment model benchmarking system E. Stofferahn et al. 10.1088/1748-9326/ab10fa
- Soil hydromorphy and soil carbon: A global data analysis D. Amendola et al. 10.1016/j.geoderma.2018.03.005
- Modeling CH4 Emissions from Natural Wetlands on the Tibetan Plateau over the Past 60 Years: Influence of Climate Change and Wetland Loss T. Li et al. 10.3390/atmos7070090
- A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring X. Zhai et al. 10.3390/ijgi5100171
- Hillslope Hydrology in Global Change Research and Earth System Modeling Y. Fan et al. 10.1029/2018WR023903
- Global wetland contribution to 2000–2012 atmospheric methane growth rate dynamics B. Poulter et al. 10.1088/1748-9326/aa8391
18 citations as recorded by crossref.
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Converging Climate Sensitivities of European Forests Between Observed Radial Tree Growth and Vegetation Models Z. Zhang et al. 10.1007/s10021-017-0157-5
- Missing pieces to modeling the Arctic-Boreal puzzle J. Fisher et al. 10.1088/1748-9326/aa9d9a
- Isotopic source signatures: Impact of regional variability on the δ13CH4 trend and spatial distribution A. Feinberg et al. 10.1016/j.atmosenv.2017.11.037
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
- Prediction of CH4 emissions from potential natural wetlands on the Tibetan Plateau during the 21st century T. Li et al. 10.1016/j.scitotenv.2018.11.275
- Emerging role of wetland methane emissions in driving 21st century climate change Z. Zhang et al. 10.1073/pnas.1618765114
- Origin and preservation of bacteriohopanepolyol signatures in Sphagnum peat from Bissendorfer Moor (Germany) H. Talbot et al. 10.1016/j.orggeochem.2016.04.011
- An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor T. Gumbricht et al. 10.1111/gcb.13689
- Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event Z. Zhang et al. 10.1088/1748-9326/aac939
- Modelling northern peatland area and carbon dynamics since the Holocene with the ORCHIDEE-PEAT land surface model (SVN r5488) C. Qiu et al. 10.5194/gmd-12-2961-2019
- Enhanced methane emissions from tropical wetlands during the 2011 La Niña S. Pandey et al. 10.1038/srep45759
- The Arctic-Boreal vulnerability experiment model benchmarking system E. Stofferahn et al. 10.1088/1748-9326/ab10fa
- Soil hydromorphy and soil carbon: A global data analysis D. Amendola et al. 10.1016/j.geoderma.2018.03.005
- Modeling CH4 Emissions from Natural Wetlands on the Tibetan Plateau over the Past 60 Years: Influence of Climate Change and Wetland Loss T. Li et al. 10.3390/atmos7070090
- A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring X. Zhai et al. 10.3390/ijgi5100171
- Hillslope Hydrology in Global Change Research and Earth System Modeling Y. Fan et al. 10.1029/2018WR023903
- Global wetland contribution to 2000–2012 atmospheric methane growth rate dynamics B. Poulter et al. 10.1088/1748-9326/aa8391
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Short summary
This study investigates improvements and uncertainties associated with estimating global inundated area and wetland CH4 emissions using TOPMODEL. Different topographic information and catchment aggregation schemes are evaluated against seasonal and permanently inundated wetland observations. Reducing uncertainty in prognostic wetland dynamics modeling must take into account forcing data as well as topographic scaling schemes.
This study investigates improvements and uncertainties associated with estimating global...
Biogeosciences
An interactive open-access journal of the European Geosciences Union
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