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Toward “Optimal” Integration of Terrestrial Biosphere Models
Geophysical Research Letters (2015)
  • Christopher R. Schwalm, Northern Arizona University
  • Deborah N. Huntzinger, Northern Arizona University
  • Joshua B. Fisher, California Institute of Technology
  • Anna M. Michalak
  • Kevin Bowman, California Institute of Technology
  • Philippe Ciais
  • Robert Cook, Oak Ridge National Laboratory
  • Bassil El-Masri, University of Illinois at Urbana-Champaign
  • Daniel Hayes, Oak Ridge National Laboratory
  • Maoyi Huang
  • Akihiko Ito
  • Atul Jain, University of Illinois at Urbana-Champaign
  • Anthony W. King, Oak Ridge National Laboratory
  • Hiumin Lei, Tsinghua University
  • Junjie Liu, California Institute of Technology
  • Chaoqun (Crystal) Lu, Auburn University Main Campus
  • Jaifu Mao, Oak Ridge National Laboratory
  • Shushi Peng
  • Benjamin Poulter
  • Daniel Ricciuto, Oak Ridge National Laboratory
  • Kevin Schaefer
  • Xiaoying Shi, Oak Ridge National Laboratory
  • Bo Tao
  • Hanqin Tian, Auburn University Main Campus
  • Weile Wang
  • Yaxing Wei, Oak Ridge National Laboratory
  • Jia Yang
  • Ning Zeng, University of Maryland - College Park
Abstract

Multimodel ensembles (MME) are commonplace in Earth system modeling. Here we perform MME integration using a 10-member ensemble of terrestrial biosphere models (TBMs) from the Multiscale synthesis and Terrestrial Model Intercomparison Project (MsTMIP). We contrast optimal (skill based for present-day carbon cycling) versus naïve (“one model-one vote”) integration. MsTMIP optimal and naïve mean land sink strength estimates (−1.16 versus −1.15 Pg C per annum respectively) are statistically indistinguishable. This holds also for grid cell values and extends to gross uptake, biomass, and net ecosystem productivity. TBM skill is similarly indistinguishable. The added complexity of skill-based integration does not materially change MME values. This suggests that carbon metabolism has predictability limits and/or that all models and references are misspecified. Resolving this issue requires addressing specific uncertainty types (initial conditions, structure, and references) and a change in model development paradigms currently dominant in the TBM community.

Keywords
  • modeling,
  • carbon cycle,
  • model integration
Publication Date
June, 2015
Publisher Statement
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Citation Information
Christopher R. Schwalm, Deborah N. Huntzinger, Joshua B. Fisher, Anna M. Michalak, et al.. "Toward “Optimal” Integration of Terrestrial Biosphere Models" Geophysical Research Letters Vol. 42 Iss. 11 (2015)
Available at: http://works.bepress.com/chaoqun_lu/6/