Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2001-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-2001-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M)
Department of Geographical Sciences, University of Maryland, College
Park, MD 20740, USA
Etienne Fluet-Chouinard
Department of Earth System Science, Stanford University, Stanford, CA
94305, USA
Katherine Jensen
Department of Earth and Atmospheric Sciences, City College of New
York, City University of New York, New York, NY 10031, USA
Department of Earth and Environmental Sciences, The Graduate Center,
City University of New York, New York, NY 10031, USA
Kyle McDonald
Department of Earth and Atmospheric Sciences, City College of New
York, City University of New York, New York, NY 10031, USA
Department of Earth and Environmental Sciences, The Graduate Center,
City University of New York, New York, NY 10031, USA
Carbon Cycle and Ecosystems Group, Jet Propulsion Laboratory,
California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA
91001, USA
Gustaf Hugelius
Department of Physical Geography, Stockholm University, 10691
Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, 10691
Stockholm, Sweden
Thomas Gumbricht
Department of Physical Geography, Stockholm University, 10691
Stockholm, Sweden
Mark Carroll
Computational and Information Science and Technology Office, NASA
Goddard Space Flight Center, Greenbelt, MD 20771, USA
Catherine Prigent
Sorbonne Université, Observatoire de Paris, Université
PSL, LERMA, CNRS, Paris, France
Annett Bartsch
b.geos, Industriestrasse 1, 2100 Korneuburg, Austria
Austrian Polar Research Institute, UZA1, Althanstraße 14, 1090
Vienna, Austria
Benjamin Poulter
Biospheric Science Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
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50 citations as recorded by crossref.
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- Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL Y. Xi et al. 10.1038/s41597-022-01460-w
- A typological framework of non-floodplain wetlands for global collaborative research and sustainable use W. Chen et al. 10.1088/1748-9326/ac9850
- Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity K. Yuan et al. 10.1038/s41558-024-01933-3
- Dynamics of nitrous oxide and methane in the southeastern Arabian Sea K. Arya et al. 10.1016/j.marchem.2023.104333
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
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- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
- Assessing Methane Emissions From Tropical Wetlands: Uncertainties From Natural Variability and Drivers at the Global Scale F. Murguia‐Flores et al. 10.1029/2022GB007601
- FLUXNET-CH<sub>4</sub>: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al. 10.5194/essd-13-3607-2021
- Carbon sequestration in soil and biomass under native and non-native mangrove ecosystems Z. Zhang et al. 10.1007/s11104-022-05352-1
- Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
- Large increases in methane emissions expected from North America’s largest wetland complex S. Bansal et al. 10.1126/sciadv.ade1112
- Tracking transient boreal wetland inundation with Sentinel-1 SAR: Peace-Athabasca Delta, Alberta and Yukon Flats, Alaska C. Huang et al. 10.1080/15481603.2022.2134620
- Bursa, Karacabey subasar ormanı kızılağaç (Alnus glutinosa L.) meşcerelerinin ölü örtü ve topraklarının organik karbon ve besin stokları T. Sarıyıldız & M. Tanı 10.53516/ajfr.1453879
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5 citations as recorded by crossref.
- Half of global methane emissions come from highly variable aquatic ecosystem sources J. Rosentreter et al. 10.1038/s41561-021-00715-2
- FLUXNET-CH<sub>4</sub>: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands K. Delwiche et al. 10.5194/essd-13-3607-2021
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) Z. Zhang et al. 10.5194/essd-13-2001-2021
- Evaluation of wetland CH4in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations R. Parker et al. 10.5194/bg-19-5779-2022
Latest update: 05 Oct 2024
Short summary
The spatiotemporal distribution of wetlands is one of the important and yet uncertain factors determining the time and locations of methane fluxes. The Wetland Area and Dynamics for Methane Modeling (WAD2M) dataset describes the global data product used to quantify the areal dynamics of natural wetlands and how global wetlands are changing in response to climate.
The spatiotemporal distribution of wetlands is one of the important and yet uncertain factors...
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