Ensemble model output of North American atmospheric CO2 simulation (full WRF-chem output)

  • S. Feng (Contributor)
  • T. Lauvaux (Contributor)
  • K.J. Davis (Contributor)
  • K. Keller (Contributor)
  • R. Rayner (Contributor)
  • T. Oda (Contributor)
  • K. Gurney (Contributor)
  • Y. Zhou (Contributor)
  • C. Williams (Contributor)
  • A.E. Schuh (Contributor)
  • J. Liu (Contributor)
  • I. Baker (Contributor)

Dataset

Description

The 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].
Date made availableJan 1 2018
PublisherData Commons

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