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The northern terrestrial net ecosystem carbon balance (NECB) is contingent oninputs from vegetation gross primary productivity (GPP) to offset theecosystem respiration (Reco) of carbon dioxide (CO2) andmethane (CH4) emissions, but an effective framework to monitor theregional Arctic NECB is lacking. We modified a terrestrial carbon flux (TCF)model developed for satellite remote sensing applications to evaluate wetlandCO2 and CH4 fluxes over pan-Arctic eddy covariance (EC) flux towersites. The TCF model estimates GPP, CO2 and CH4 emissions using insitu or remote sensing and reanalysis-based climate data as inputs. The TCFmodel simulations using in situ data explained > 70% of the r2variability in the 8 day cumulative EC measured fluxes. Model simulationsusing coarser satellite (MODIS) and reanalysis (MERRA) records accounted forapproximately 69% and 75% of the respective r2 variability inthe tower CO2 and CH4 records, with corresponding RMSEuncertainties of ≤ 1.3 g C m−2 d−1 (CO2) and18.2 mg C m−2 d−1 (CH4). Although the estimated annualCH4 emissions were small (< 18 g C m−2 yr−1) relativeto Reco (> 180 g C m−2 yr−1), they reduced theacross-site NECB by 23% and contributed to a global warming potential ofapproximately 165 ± 128 g CO2eq m−2 yr−1 whenconsidered over a 100 year time span. This model evaluation indicates astrong potential for using the TCF model approach to document landscape-scalevariability in CO2 and CH4 fluxes, and to estimate the NECB fornorthern peatland and tundra ecosystems

biogeosciences

A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and CH&amp;lt;sub&amp;gt;4&amp;lt;/sub&amp;gt; fluxes