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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55 citations as recorded by crossref.
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- 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
- Global responses of wetland methane emissions to extreme temperature and precipitation M. Xu et al. 10.1016/j.envres.2024.118907
- 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
- Estimating wetland CH4 emissions on the Qinghai-Tibetan Plateau based on a processed model coupled with inundation dynamics between 1960 and 2100 J. Zhang et al. 10.1016/j.scitotenv.2024.177169
- Future impacts of climate change on inland Ramsar wetlands Y. Xi et al. 10.1038/s41558-020-00942-2
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- 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
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- Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al. 10.5194/hess-26-3151-2022
- 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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Latest update: 13 Dec 2024
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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