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Regional Methane Flux Estimates Over Alaska

Submitted by ORNL DAAC Staff on 2018-04-16
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Monthly mean CH4 flux estimates.
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Monthly mean CH4 flux estimates for Alaska. Values are centered on the mean measurement date for a given month and the shaded regions are the standard error of the mean (figure from Hartery et al. 2018).

CARVE: Ecosystem Scale CH4 Emission Derived from Aircraft Observations 2012-2014

This dataset provides methane flux estimates derived from airborne measurements collected over Alaska and the western Yukon Territory during the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) between 2012 and 2014. The state-scale methane fluxes were calculated using a combination of atmospheric profiles and lagrangian transport modeling. The methane flux estimates were used in a simple linear regression model to estimate the fluxes from the tundra and boreal ecosystems. Methane fluxes were also used with a combination of environmental variables to derive a statistical relationship between domain-wide flux and soil temperature. Soil temperature products from North American Regional Reanalysis and derived parameters from a Boltmann-Arrhenius model were used to model methane flux and related uncertainties within the domain at monthly and daily frequencies.

Related Publication:
Hartery, S., Commane, R., Lindaas, J., Sweeney, C., Henderson, J., Mountain, M., Steiner, N., McDonald, K., Dinardo, S. J., Miller, C. E., Wofsy, S. C., and Chang, R. Y.-W. 2018. Estimating regional-scale methane flux and budgets using CARVE aircraft measurements over Alaska, Atmos. Chem. Phys., 18, 185-202, https://doi.org/10.5194/acp-18-185-2018

Data Citation:
Hartery, S., R. Commane, J.O.W. Lindaas, C. Sweeney, J. Henderson, M. Mountain, N. Steiner, K.C. McDonald, S.J. Dinardo, C.E. Miller, S.C. Wofsy, and R.Y-W. Chang. 2018. CARVE: Ecosystem Scale CH4 Emission Derived from Aircraft Observations 2012-2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1558
Data center: ORNL DAAC

Monthly mean CH4 flux estimates.