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Toward “optimal” integration of terrestrial biosphere models

Journal Article · · Geophysical Research Letters
DOI:https://doi.org/10.1002/2015GL064002· OSTI ID:1325465
 [1];  [2];  [3];  [4];  [3];  [5];  [6];  [7];  [6];  [8];  [9];  [7];  [6];  [10];  [3];  [11];  [6];  [5];  [12];  [6] more »;  [13];  [6];  [5];  [11];  [14];  [6];  [11];  [15] « less
  1. Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society; Northern Arizona Univ., Flagstaff, AZ (United States). School of Earth Sciences and Environmental Sustainability
  2. Northern Arizona Univ., Flagstaff, AZ (United States). School of Earth Sciences and Environmental Sustainability; Northern Arizona Univ., Flagstaff, AZ (United States). Dept. of Civil Engineering, Construction Management, and Environmental Engineering
  3. California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.
  4. Carnegie Inst. of Science, Stanford, CA (United States). Dept. of Global Ecology
  5. Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette (France)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
  7. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States). Dept. of Atmospheric Sciences
  8. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Science and Global Change Div. (ASGC)
  9. National Inst. for Environmental Studies, Tsukuba (Japan)
  10. Tsinghua Univ., Beijing (China). Dept. of Hydraulic Engineering
  11. Auburn Univ., AL (United States). International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences
  12. Montana State Univ. Bozeman MT (United States). Dept. of Ecology
  13. National Snow and Ice Data Center, Boulder, CO (United States)
  14. NASA Ames Research Center (ARC), Moffett Field, Mountain View, CA (United States)
  15. Univ. of Maryland, College Park, MD (United States). Dept. of Atmospheric and Oceanic Science
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 naive (one model-one vote) integration. MsTMIP optimal and naive 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. Finally, 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.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
LSCE; NASA; NSF; USDA; USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC02-05CH11231; AC05-00OR22725; SC0006706
OSTI ID:
1325465
Alternate ID(s):
OSTI ID: 1221484
Journal Information:
Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 11 Vol. 42; ISSN 0094-8276
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English

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Uncertainty analysis of terrestrial net primary productivity and net biome productivity in China during 1901-2005 journal May 2016
Global and Brazilian Carbon Response to El Niño Modoki 2011-2010: BRAZILIAN CARBON BALANCE journal October 2017
Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects journal February 2019
Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region journal June 2019
No Proportional Increase of Terrestrial Gross Carbon Sequestration From the Greening Earth journal August 2019
Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO 2 Simulations Over North America journal December 2019
The terrestrial biosphere as a net source of greenhouse gases to the atmosphere journal March 2016
Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions journal July 2017
Carbon and Water Use Efficiencies: A Comparative Analysis of Ten Terrestrial Ecosystem Models under Changing Climate journal October 2019
Contributions of climate change, land use change and CO 2 to changes in the gross primary productivity of the Tibetan Plateau journal November 2019
Emergence of new hydrologic regimes of surface water resources in the conterminous United States under future warming journal October 2016
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Evaluation of simulated soil carbon dynamics in Arctic-Boreal ecosystems journal February 2020
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Reliability Ensemble Averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties posted_content September 2017
Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties journal January 2018
Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities journal January 2016
A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions text January 2018

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