%0 Dataset
%T WetCH4: a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/c69ab72e-122a-485d-b9d9-f82f0cf343bd
%W NCDC
%R 10.5281/zenodo.13893089
%A 青英
%K Northern wetlands;methane flux;machine learning
%X This dataset (WetCH4) contains methane (CH4) emissions using three different wetland maps, their uncertainties, and underlying flux intensities from northern wetlands (>45° N). The dataset is a data-driven upscaling product using observations from northern eddy covariance CH4 flux sites and random forest machine learning. WetCH4 provides daily CH4 fluxes of northern wetlands at 10-km resolution from 2016 to 2022 and can be used to study regional CH4 budgets and wetland responses to climate change. The data products are provided in netCDF format files (.nc) with more details in the attributes of the files.