Articles | Volume 13, issue 5
https://doi.org/10.5194/bg-13-1387-2016
© Author(s) 2016. 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-13-1387-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
Dynamic Macroecology, Swiss Federal Research Institute WSL,
Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Institute on Ecosystems and Department of Ecology, Montana State University, Bozeman, MT
59717, USA
Cold and Arid Regions Environmental and Engineering
Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, Gansu, China
Niklaus E. Zimmermann
Dynamic Macroecology, Swiss Federal Research Institute WSL,
Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
Department of Environmental Systems Science, Swiss Federal
Institute of Technology ETH, 8092 Zürich, Switzerland
Jed O. Kaplan
Institute of Earth Surface Dynamics, University of Lausanne, 1015
Lausanne, Switzerland
Benjamin Poulter
Institute on Ecosystems and Department of Ecology, Montana State University, Bozeman, MT
59717, USA
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- Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET‐CH4 Sites Using Wavelet Analyses Z. Zhang et al. 10.1029/2022JG007259
52 citations as recorded by crossref.
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. 10.5194/essd-13-2307-2021
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- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- 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
- Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions J. Melack & L. Hess 10.1016/j.aquabot.2022.103592
- Emerging role of wetland methane emissions in driving 21st century climate change Z. Zhang et al. 10.1073/pnas.1618765114
- 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
- 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
- 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
- Climate change will reduce North American inland wetland areas and disrupt their seasonal regimes D. Xu et al. 10.1038/s41467-024-45286-z
- Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. 10.1111/gcb.16755
- The Importance of Spatial Resolution in the Modeling of Methane Emissions from Natural Wetlands Y. Albuhaisi et al. 10.3390/rs15112840
- Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 E. Salmon et al. 10.5194/gmd-15-2813-2022
- 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
- Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. 10.1029/2023GL103037
- Using satellite data to identify the methane emission controls of South Sudan's wetlands S. Pandey et al. 10.5194/bg-18-557-2021
- A comparison of GIS landscape modeling and traditional landscape mapping (by the example of the Elbrus region) E. Kolbovskii et al. 10.35595/2414-9179-2022-1-28-523-539
- Future impacts of climate change on inland Ramsar wetlands Y. Xi et al. 10.1038/s41558-020-00942-2
- Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
- 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
- Modelling spatio‐temporal soil moisture dynamics in mountain tundra V. Tyystjärvi et al. 10.1002/hyp.14450
- Soil hydromorphy and soil carbon: A global data analysis D. Amendola et al. 10.1016/j.geoderma.2018.03.005
- A locally explained heterogeneity model for examining wetland disparity Y. Li et al. 10.1080/17538947.2023.2271883
- Global wetland contribution to 2000–2012 atmospheric methane growth rate dynamics B. Poulter et al. 10.1088/1748-9326/aa8391
- The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. 10.5194/essd-15-1197-2023
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Data driven modelling and simulation of wetland dynamics A. Anupam et al. 10.1080/02286203.2021.1930402
- Wetland mapping and evaluating the impacts on hydrology, using geospatial techniques: a case of Geba Watershed, Southwest Ethiopia M. Berhanu et al. 10.1080/24749508.2021.1953744
- Extensive global wetland loss over the past three centuries E. Fluet-Chouinard et al. 10.1038/s41586-022-05572-6
- Origin and preservation of bacteriohopanepolyol signatures in Sphagnum peat from Bissendorfer Moor (Germany) H. Talbot et al. 10.1016/j.orggeochem.2016.04.011
- Ying Fan and groundwater’s global impact A. Potkay et al. 10.1016/j.jhydrol.2022.128923
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- A Generalized Multistep Dynamic (GMD) TOPMODEL S. Goudarzi et al. 10.1029/2022WR032198
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- 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
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- Application of a Fractional Instantaneous Unit Hydrograph in the TOPMODEL: A Case Study in Chengcun Basin, China X. Xiang et al. 10.3390/app13042245
- Effects of seasonal inundation on methane fluxes from forested freshwater wetlands K. Hondula et al. 10.1088/1748-9326/ac1193
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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...
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