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