WetCH4: A Machine Learning-based Upscaling of Methane Fluxes of Northern Wetlands during 2016-2022

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.

File list:

- fch4_nmol_m2_s_10km_intensity.nc.gz and fch4_nmol_m2_s_10km_uncertainty.nc.gz:

        The underlying flux intensities and associated uncertainties.

- fch4_10km_emi_wad2m.nc.gz and fch4_10km_emi_uncertainty_wad2m.nc.gz:

        Upscaled CH4 emissions and uncertainties using WAD2M monthly dynamic wetland map.

- fch4_10km_emi_giems2.nc.gz and fch4_10km_emi_uncertainty_giems2.nc.gz:

        Upscaled CH4 emissions and uncertainties using GIEMS2 monthly dynamic wetland map.

- fch4_10km_emi_glwd.nc.gz and fch4_10km_emi_uncertainty_glwd.nc.gz:

        Upscaled CH4 emissions and uncertainties using static GLWD v1 wetland map.

Time range: 2016-01-01 - 2022-12-31

Time steps: daily, 2557

Geographic extent: longitude  180W  - 180E, latitude 45 - 90 N