skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Toward “optimal” integration of terrestrial biosphere models

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 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.

Authors:
 [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
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Aeronautic and Space Administration (NASA); National Science Foundation (NSF); USDA; LSCE
OSTI Identifier:
1325465
Grant/Contract Number:  
AC05-00OR22725; AC02-05CH11231; SC0006706; ACI-1238993; OCI-0725070; NNX12AP74G; NSF-AGS-12-43071; NSF-EFRI- 083598; AC05-76RLO1830; NNX10AG01A; NNX11AO08A; NNH10AN681
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 42; Journal Issue: 11; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; modeling; carbon cycle; model integration

Citation Formats

Schwalm, Christopher R., Huntzinger, Deborah N., Fisher, Joshua B., Michalak, Anna M., Bowman, Kevin, Ciais, Philippe, Cook, Robert, El-Masri, Bassil, Hayes, Daniel, Huang, Maoyi, Ito, Akihiko, Jain, Atul, King, Anthony W., Lei, Huimin, Liu, Junjie, Lu, Chaoqun, Mao, Jiafu, Peng, Shushi, Poulter, Benjamin, Ricciuto, Daniel, Schaefer, Kevin, Shi, Xiaoying, Tao, Bo, Tian, Hanqin, Wang, Weile, Wei, Yaxing, Yang, Jia, and Zeng, Ning. Toward “optimal” integration of terrestrial biosphere models. United States: N. p., 2015. Web. doi:10.1002/2015GL064002.
Schwalm, Christopher R., Huntzinger, Deborah N., Fisher, Joshua B., Michalak, Anna M., Bowman, Kevin, Ciais, Philippe, Cook, Robert, El-Masri, Bassil, Hayes, Daniel, Huang, Maoyi, Ito, Akihiko, Jain, Atul, King, Anthony W., Lei, Huimin, Liu, Junjie, Lu, Chaoqun, Mao, Jiafu, Peng, Shushi, Poulter, Benjamin, Ricciuto, Daniel, Schaefer, Kevin, Shi, Xiaoying, Tao, Bo, Tian, Hanqin, Wang, Weile, Wei, Yaxing, Yang, Jia, & Zeng, Ning. Toward “optimal” integration of terrestrial biosphere models. United States. doi:10.1002/2015GL064002.
Schwalm, Christopher R., Huntzinger, Deborah N., Fisher, Joshua B., Michalak, Anna M., Bowman, Kevin, Ciais, Philippe, Cook, Robert, El-Masri, Bassil, Hayes, Daniel, Huang, Maoyi, Ito, Akihiko, Jain, Atul, King, Anthony W., Lei, Huimin, Liu, Junjie, Lu, Chaoqun, Mao, Jiafu, Peng, Shushi, Poulter, Benjamin, Ricciuto, Daniel, Schaefer, Kevin, Shi, Xiaoying, Tao, Bo, Tian, Hanqin, Wang, Weile, Wei, Yaxing, Yang, Jia, and Zeng, Ning. Wed . "Toward “optimal” integration of terrestrial biosphere models". United States. doi:10.1002/2015GL064002. https://www.osti.gov/servlets/purl/1325465.
@article{osti_1325465,
title = {Toward “optimal” integration of terrestrial biosphere models},
author = {Schwalm, Christopher R. and Huntzinger, Deborah N. and Fisher, Joshua B. and Michalak, Anna M. and Bowman, Kevin and Ciais, Philippe and Cook, Robert and El-Masri, Bassil and Hayes, Daniel and Huang, Maoyi and Ito, Akihiko and Jain, Atul and King, Anthony W. and Lei, Huimin and Liu, Junjie and Lu, Chaoqun and Mao, Jiafu and Peng, Shushi and Poulter, Benjamin and Ricciuto, Daniel and Schaefer, Kevin and Shi, Xiaoying and Tao, Bo and Tian, Hanqin and Wang, Weile and Wei, Yaxing and Yang, Jia and Zeng, Ning},
abstractNote = {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.},
doi = {10.1002/2015GL064002},
journal = {Geophysical Research Letters},
issn = {0094-8276},
number = 11,
volume = 42,
place = {United States},
year = {2015},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

Save / Share: