2016 International Land Model Benchmarking (ILAMB) Workshop Report

Technical Report · Sat Apr 01 00:00:00 EDT 2017

DOI:https://doi.org/10.2172/1330803· OSTI ID:1330803

Hoffman, Forrest M. ^[1]; Koven, Charles D. ^[2]; Keppel-Aleks, Gretchen ^[3]; Lawrence, David M. ^[4]; Riley, William J. ^[2]; Randerson, James T. ^[5]; Ahlström, Anders ^[6]; Abramowitz, Gabriel ^[7]; Baldocchi, Dennis D. ^[8]; Best, Martin J. ^[9]; Bond-Lamberty, Benjamin ^[10]; De Kauwe, Martin G. ^[11]; Denning, A. Scott ^[12]; Desai, Ankur R. ^[13]; Eyring, Veronika ^[14]; Fisher, Joshua B. ^[15]; Fisher, Rosie A. ^[4]; Gleckler, Peter J. ^[16]; Huang, Maoyi ^[17]; Hugelius, Gustaf ^[18] ; Jain, Atul K. ^[19]; Kiang, Nancy Y. ^[20]; Kim, Hyungjum ^[21]; Koster, Randal D. ^[22]; Kumar, Sujay V. ^[22]; Li, Hongyi ^[23]; Luo, Yiqi ^[24]; Mao, Jiafu ^[25]; McDowell, Nathan G. ^[26]; Mishra, Umakant ^[27]; Moorcroft, Paul R. ^[28]; Pau, George S.H. ^[2]; Ricciuto, Daniel M. ^[1]; Schaefer, Kevin ^[29]; Schwalm, Christopher R. ^[30]; Serbin, Shawn P. ^[31]; Shevliakova, Elena ^[32]; Slater, Andrew G. ^[29]; Tang, Jinyun ^[2]; Williams, Mathew ^[33]; Xia, Jianyang ^[34]; Xu, Chonggang ^[26]; Joseph, Renu ^[35]; Koch, Dorothy ^[35]

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1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
3. Univ. of Michigan, Ann Arbor, MI (United States)
4. National Center for Atmospheric Research, Boulder, CO (United States)
5. Univ. of California, Irvine, CA (United States)
6. Stanford Univ., Stanford, CA (United States); Lund Univ., Lund (Sweden)
7. Univ. of New South Wales, Sydney, NSW (Australia)
8. Univ. of California, Berkeley, CA (United States)
9. UK Met Office, Exeter, EX1 3PB (United Kingdom)
10. Joint Global Change Research Institute, Pacific Northwest National Lab. (PNNL), College Park, MD (United States)
11. Macquarie Univ., NSW (Australia)
12. Colorado State Univ., Fort Collins, CO (United States)
13. Univ. of Wisconsin, Madison, WI (United States)
14. Deutsches Zentrum fuer Luft- und Raumfahrt (DLR), Oberpfaffenhofen (Germany)
15. California Inst. of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab.
16. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
17. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
18. Stockholm Univ. (Sweden)
19. Univ. of Illinois, Urbana, IL (United States)
20. NASA Goddard Institute for Space Studies, Columbia Univ., New York, NY (United States)
21. University of Tokyo, Bunkyo-ku, Tokyo (Japan)
22. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
23. Tsinghua Univ., Beijing (China). Dept. of Hydraulic Engineering
24. Univ. of Oklahoma, Norman, OK (United States)
25. Univ. of Illinois at Urbana-Champaign, Urbana, IL (United States)
26. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
27. Argonne National Lab. (ANL), Argonne, IL (United States)
28. Harvard Univ., Cambridge, MA (United States)
29. Univ. of Colorado, Boulder, CO (United States). National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences
30. Woods Hole Research Center, Falmouth, MA (United States)
31. Brookhaven National Lab. (BNL), Upton, NY (United States)
32. Geophysical Fluid Dynamics Laboratory, Princeton Univ., Princeton, NJ (United States)
33. Univ. of Edinburgh, Scotland (United Kingdom). School of GeoSciences and NERC National Centre for Earth Observation
34. Univ. of Oklahoma, Norman, OK (United States); East China Normal Univ. (ECNU), Shanghai (China). Tiantong National Forest Ecosystem Observation and Research Station, School of Ecological and Environmental Sciences
35. US Department of Energy, Germantown, MD (United States)

As Earth system models become increasingly complex, there is a growing need for comprehensive and multi-faceted evaluation of model projections. To advance understanding of biogeochemical processes and their interactions with hydrology and climate under conditions of increasing atmospheric carbon dioxide, new analysis methods are required that use observations to constrain model predictions, inform model development, and identify needed measurements and field experiments. Better representations of biogeochemistry–climate feedbacks and ecosystem processes in these models are essential for reducing uncertainties associated with projections of climate change during the remainder of the 21st century.

• Research Organization: USDOE Office of Science, Washington, DC (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• OSTI ID: 1330803
• Report Number(s): DOE/SC-0186
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES