2021
DOI: 10.5194/essd-13-2001-2021
|View full text |Cite
|
Sign up to set email alerts
|

Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M)

Abstract: Abstract. Seasonal and interannual variations in global wetland area are a strong driver of fluctuations in global methane (CH4) emissions. Current maps of global wetland extent vary in their wetland definition, causing substantial disagreement between and large uncertainty in estimates of wetland methane emissions. To reconcile these differences for large-scale wetland CH4 modeling, we developed the global Wetland Area and Dynamics for Methane Modeling (WAD2M) version 1.0 dataset at a ∼ 25 km resolution at th… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
82
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 74 publications
(84 citation statements)
references
References 98 publications
(145 reference statements)
2
82
0
Order By: Relevance
“…It produces total Amazon inundated tree areas of 2.54 × 10 11 m 2 and 2.88 × 10 11 m 2 averaged over low water 1995 and high water 1996, and 2000-2009, respectively. These are comparable to the mean estimated using the Hess et al [31] (electronic supplementary material, 1.61-2.63 × 10 11 m 2 ) and WAD2M [32] (2.78 × 10 11 m 2 ) data from the same respective time periods (see electronic supplementary material for details). The simulated WT measurement errors for the default JULES version are comparable to the Fan & Miguez-Macho [33] groundwater model (electronic supplementary material).…”
Section: From Local To Amazon Basin and Tropical Upscaling Using Julessupporting
confidence: 83%
See 1 more Smart Citation
“…It produces total Amazon inundated tree areas of 2.54 × 10 11 m 2 and 2.88 × 10 11 m 2 averaged over low water 1995 and high water 1996, and 2000-2009, respectively. These are comparable to the mean estimated using the Hess et al [31] (electronic supplementary material, 1.61-2.63 × 10 11 m 2 ) and WAD2M [32] (2.78 × 10 11 m 2 ) data from the same respective time periods (see electronic supplementary material for details). The simulated WT measurement errors for the default JULES version are comparable to the Fan & Miguez-Macho [33] groundwater model (electronic supplementary material).…”
Section: From Local To Amazon Basin and Tropical Upscaling Using Julessupporting
confidence: 83%
“…These are comparable to the mean estimated using the Hess et al . [ 31 ] (electronic supplementary material, 1.61–2.63 × 10 11 m 2 ) and WAD2M [ 32 ] (2.78 × 10 11 m 2 ) data from the same respective time periods (see electronic supplementary material for details).…”
Section: From Local To Amazon Basin and Tropical Upscaling Using Julesmentioning
confidence: 99%
“…In terms of large uncertainties in current wetland datasets (Table 1 ) we selected four widely used and available satellite/satellite-based wetland/flooded area data including GIEMS-2 (ref. 14 ), RFW (the Regularly Flooded Wetland map) 10 , WAD2M (a global dataset of Wetland Area and Dynamics for Methane Modeling) 33 , and G2017 (the pantropical wetland extent from an expert system model) 9 for parameter calibration. Among them, GIEMS-2 and WAD2M include monthly wetland dynamics, while RFW and G2017 are static.…”
Section: Methodsmentioning
confidence: 99%
“… 15 ), covering the years 2000 to 2018. With a spatial resolution of 25 km × 25 km, this data was used as input wetland area data of phase 2 of the Global Methane Budget 33 . Given that the initial SWAMPS failed to detect wetlands lacking surface inundation and to differentiate between lakes, wetlands, and other surface water bodies, Zhang et al .…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation