Description
This dataset provides an upscaled estimate of Boreal-Arctic wetland CH4 emissions at a weekly time scale from 2002 to 2021 at 0.5 by 0.5-degree spatial resolution. Ground truth data on wetland CH4 emissions from eddy covariance towers (139 site years) and chambers (168 site years) were used to train and validate a causality-guided machine learning model. The trained model was then used to estimate CH4 emissions at grid cells that have wetlands and located above 44 degrees north. The data are provided in netCDF format.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Get a related visualization | JPG | Spatial distribution of the long-term averaged wetland CH4 emissions in the Boreal-Arctic upscaled by combining chamber and eddy covariance datasets. Red dashed boxes indicate two wetland hotpots: Hudson Bay lowlands (50-60 deg N, 75-96 deg W) and Western Siberian lowlands (52-74 deg N, 60-94.5 deg E). Source: Yuan et al. (2024). | 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 | Boreal Arctic Wetland Methane Emissions, 2002-2021: Boreal_Arctic_Wetland_CH4.pdf | Open resource | |
| This dataset's landing page | HTML | Data set Landing Page DOI URL | Open resource |
| Use OPeNDAP to access the dataset's data | HTML | USE SERVICE API | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |