CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3)

Description

This dataset provides global monthly wetland methane (CH4) emissions estimates at 0.5 by 0.5-degree resolution for the period 2001-01-01 to 2022-08-31 that were derived from an ensemble of multiple terrestrial biosphere models, wetland extent scenarios, and CH4:C temperature dependencies that encompass the main sources of uncertainty in wetland CH4 emissions. There are 18 model configurations. WetCHARTs v1.3.3 is an updated product of WetCHARTs v1.3.1 dataset. The intended use of this product is as a process-informed wetland CH4 emission data set for atmospheric chemistry and transport modeling. Users can compare estimates by model configuration to explore variability and sensitivity with respect to ensemble members. The data are provided in netCDF format.

Resources

Name Format Description Link
Get a related visualization JPG Estimated daily emissions of methane from wetlands (mg CH4 m-2 d-1) in North America for July 2010. Estimates were produced using the WetCHARTs v1.3.3 model using ensemble member 1931, which includes a global scale factor of 124.5 Tg CH4 y-1, the CARDAMOM heterotrophic respiration model, a temperature-dependent CH4:C q10=3, and extent parameterization based on the Global Lakes and Wetlands Database. Source: WetCHARTs_v1_3_3_2010.nc Open resource
View documentation related to this dataset HTML ORNL DAAC Data Set Documentation Open resource
Download this dataset HTML This link allows direct data access via Earthdata login Open resource
View documentation related to this dataset ZIP Collection bundle Open resource
Download this dataset ZIP Collection bundle Open resource
View documentation related to this dataset PDF CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3): MonthlyWetland_CH4_WetCHARTsV2.pdf Open resource
This dataset's landing page HTML Data set Landing Page DOI URL Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource

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