Toward “optimal” integration of terrestrial biosphere models
Journal Article
·
· Geophysical Research Letters
more »
- 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
- 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
- California Inst. of Technology (CalTech), La Canada Flintridge, CA (United States). Jet Propulsion Lab.
- Carnegie Inst. of Science, Stanford, CA (United States). Dept. of Global Ecology
- Laboratoire des Sciences du Climat et de l'Environnement, Gif sur Yvette (France)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
- Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States). Dept. of Atmospheric Sciences
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmospheric Science and Global Change Div. (ASGC)
- National Inst. for Environmental Studies, Tsukuba (Japan)
- Tsinghua Univ., Beijing (China). Dept. of Hydraulic Engineering
- Auburn Univ., AL (United States). International Center for Climate and Global Change Research and School of Forestry and Wildlife Sciences
- Montana State Univ. Bozeman MT (United States). Dept. of Ecology
- National Snow and Ice Data Center, Boulder, CO (United States)
- NASA Ames Research Center (ARC), Moffett Field, Mountain View, CA (United States)
- 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
Similar Records
Toward “optimal” integration of terrestrial biosphere models
The North American Carbon Program Multi-scale synthesis and Terrestrial Model Intercomparison Project Part 1: Overview and experimental design
Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models. Current status and future directions
Journal Article
·
Wed Jun 10 00:00:00 EDT 2015
· Geophysical Research Letters
·
OSTI ID:1221484
The North American Carbon Program Multi-scale synthesis and Terrestrial Model Intercomparison Project Part 1: Overview and experimental design
Journal Article
·
Mon Dec 31 23:00:00 EST 2012
· Geoscience Model Development
·
OSTI ID:1122662
Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models. Current status and future directions
Journal Article
·
Fri Jun 05 00:00:00 EDT 2015
· Global Biogeochemical Cycles
·
OSTI ID:1224507