The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas

Abstract. The Global Inundation Extent from Multi-Satellites (GIEMS) database first published in 2001 was a key advance toward the accurate representation of wetlands globally by providing dynamic time series of global surface water based on passive microwave observations. This study supplements the second version of GIEMS (GIEMS-2) with other datasets to produce GIEMS-MethaneCentric (GIEMS-MC), a dynamically mapped dataset of methane-emitting waterlogged and inundated ecosystems. We separated open water from wetlands in GIEMS-MC by using the Global Lakes and Wetlands Database version 2 (GLWDv2) while adding unsaturated peatland areas undetected by GIEMS-2. Rice paddies are identified using the Monthly Irrigated and Rainfed Crop Areas (MIRCA2000) product. A specific coastal zone filtering is applied to avoid ocean artifacts while preserving coastal wetlands. GIEMS-MC covers the period 1992–2020 on a monthly scale at 0.25° × 0.25° spatial resolution. The GIEMS-MC product includes two layers of monthly wetland time series – one for flooded and saturated wetlands and another for all wetlands and peatlands – together with seven layers of compatible static maps of open water bodies (lakes, rivers, reservoirs) and seasonal rice paddy maps used in its production. The dominant vegetation and wetland types per pixel are also provided in GIEMS-MC variables. GIEMS-MC is compared to Wetland Area and Dynamics for Methane Modelling (WAD2M), a dataset providing dynamic wetland information. In terms of wetland extent, all wetlands and peatlands in GIEMS-MC and WAD2M show similar results, with a mean annual maximum of 7.7 Mkm2 for GIEMS-MC and 6.8 Mkm2 for WAD2M, with similar spatial patterns in most regions. The GIEMS-MC seamless time series represents a significant advance in wetland representation for methane modelling, although limitations remain in the accurate identification of rice, coastal, and peatland areas. This resource provides harmonized dynamic maps of aquatic methane-emitting surfaces and is available at https://doi.org/10.5281/zenodo.13919644 (Bernard et al., 2024a).

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Publication Details

Journal
Earth system science data
Published
2025-06-28
DOI
https://doi.org/10.5194/essd-17-2985-2025
Citations
2
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
2.21

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article

The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas

Shushi Peng, Carlos Jiménez, Marielle Saunois, Bernhard Lehner et al.
2 citations
Earth system science data
Atmospheric and Environmental Gas Dynamics
2.21
article

The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas

Shushi Peng, Carlos Jiménez, Marielle Saunois, Bernhard Lehner, Catherine Prigent, Etienne Fluet‐Chouinard, Juliette Bernard, Élodie Salmon, Philippe Ciais, Zhen Zhang
article en
2 citations

Abstract

Abstract. The Global Inundation Extent from Multi-Satellites (GIEMS) database first published in 2001 was a key advance toward the accurate representation of wetlands globally by providing dynamic time series of global surface water based on passive microwave observations. This study supplements the second version of GIEMS (GIEMS-2) with other datasets to produce GIEMS-MethaneCentric (GIEMS-MC), a dynamically mapped dataset of methane-emitting waterlogged and inundated ecosystems. We separated open water from wetlands in GIEMS-MC by using the Global Lakes and Wetlands Database version 2 (GLWDv2) while adding unsaturated peatland areas undetected by GIEMS-2. Rice paddies are identified using the Monthly Irrigated and Rainfed Crop Areas (MIRCA2000) product. A specific coastal zone filtering is applied to avoid ocean artifacts while preserving coastal wetlands. GIEMS-MC covers the period 1992–2020 on a monthly scale at 0.25° × 0.25° spatial resolution. The GIEMS-MC product includes two layers of monthly wetland time series – one for flooded and saturated wetlands and another for all wetlands and peatlands – together with seven layers of compatible static maps of open water bodies (lakes, rivers, reservoirs) and seasonal rice paddy maps used in its production. The dominant vegetation and wetland types per pixel are also provided in GIEMS-MC variables. GIEMS-MC is compared to Wetland Area and Dynamics for Methane Modelling (WAD2M), a dataset providing dynamic wetland information. In terms of wetland extent, all wetlands and peatlands in GIEMS-MC and WAD2M show similar results, with a mean annual maximum of 7.7 Mkm2 for GIEMS-MC and 6.8 Mkm2 for WAD2M, with similar spatial patterns in most regions. The GIEMS-MC seamless time series represents a significant advance in wetland representation for methane modelling, although limitations remain in the accurate identification of rice, coastal, and peatland areas. This resource provides harmonized dynamic maps of aquatic methane-emitting surfaces and is available at https://doi.org/10.5281/zenodo.13919644 (Bernard et al., 2024a).

Earth system science dataVol. 17(6)
Centre National de la Recherche Scientifique (FR), Pacific Northwest National Laboratory (US), Université de Versailles Saint-Quentin-en-Yvelines (FR), Chinese Academy of Sciences (CN), Peking University (CN), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Observatoire de Paris (FR), Laboratoire d’Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères (FR), Laboratoire des Sciences du Climat et de l'Environnement (FR), CEA Paris-Saclay (FR), Institute of Tibetan Plateau Research (CN), McGill University (CA)
European Space Agency, Agence Nationale de la Recherche, Institut national des sciences de l'Univers
Openalex Percentile: Top 13%
Atmospheric and Environmental Gas Dynamics
2.21
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