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Dataset . 2024
License: CC BY
Data sources: ZENODO
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Lunaris
Dataset . 2024
License: CC BY
Data sources: Lunaris
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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WetCH4: A Machine Learning-based Upscaling of Methane Fluxes of Northern Wetlands during 2016-2022

Authors: Ying, Qing; Poulter, Benjamin; Watts, Jennifer D.; Arndt, Kyle A.; Virkkala, Anna-Maria; Bruhwiler, Lori; Oh, Youmi; +21 Authors

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

Abstract

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

Country
Canada
Keywords

remote sensing, carbon budget, machine learning, methane flux, eddy covariance, Arctic-boreal wetland, data-driven upscaling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average