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TitleEnsemble model output of North American atmospheric CO2 simulation (full WRF-chem output)
Date2018
AbstractThe uncertainty in biospheric carbon dioxide (CO2) flux estimates drives divergent projections of future climate and uncertainty in prescriptions for climate mitigation. The terrestrial carbon sink can be inferred from atmospheric CO2 observations with transport models via inversion methods. Regional CO2 flux estimates remain uncertain due to the mixture of uncertainties caused by transport models, prior estimates of biospheric fluxes, large-scale CO2 boundary inflow, the assumptions in the inversion process, and the limited density of atmospheric CO2 observations. Understanding the characteristics of these uncertainties in space and time is essential for accurate biospheric CO2 flux estimates. Here we identify the terms that most confound biospheric flux estimates using an ensemble approach. This ensemble model output includes 10 WRF-Chem CO2 transport simulations. Each transport simulation comprises 18 CO2 biogenic fluxes, 25 fossil fuel emissions, and four boundary conditions from various global models. WRF-Chem transport simulation at 27 km x 27 km with 51 vertical levels for the time period of 2010. Detailed description of model setup and associated results can be found in Feng et al, [2019a, 2019b].
MetadataClick here for full metadata
Data DOIdoi:10.26208/7a4p-q224

Researchers
Feng, S.
Penn State Department of Meteorology
Lauvaux, T.
Penn State Department of Meteorology
Davis, K. J.
Penn State Department of Meteorology
Keller, K.
Penn State Department of Geosciences
Rayner, R.
University of Melbourne
Oda, T.
NASA Goddard Space Flight Center
Gurney, K.
Northern Arizona University
Zhou, Y.
Clark University
Williams, C.
Clark University
Schuh, A. E.
Colorado State University, Fort Collins, USA
Liu, J.
Jet Propulsion Laboratory, California Institute of Technology
Baker, I.
Colorado State University, Fort Collins, USA

Data Access


References
S. Feng, T. Lauvuax, K. Klaus, K. Davis, P. Rayner, T. Oda, K. Gurney, 2019a: A road map for improving the treatment of uncertainties in high-resolution regional carbon flux estimates. Geophys. Res. Lett., 46. https://doi.org/10.1029/2019GL082987
S. Feng, T. Lauvaux, K. Davis, K. Keller, Y. Zhou, C. Willimans, A. Schuh, J. Liu, I. Baker, 2019b: Seasonal characteristics of model uncertainties from biogenic fluxes, transport, and large-scale boundary inflow in atmospheric CO2 simulations over North America. J. Geophys. Res.-Atmos., https://doi.org/10.1029/2019JD031165