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Get Free AccessAs 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.
Forrest M. Hoffman, Charles D. Koven, Gretchen Kappel-Aleks, David M. Lawrence, W. J. Riley, James T. Randerson, Anders Ahlström, Gab Abramowitz, Dennis Baldocchi, Ben Bond‐Lamberty, Martin G. De Kauwe, Scott Denning, Ankur R. Desai, Veronika Eyring, Joshua B. Fisher, Ramsey R. Fisher, Peter J. Gleckler, Maoyi Huang, Gustaf Hugelius, Atul K. Jain, Nancy Y. Kiang, Hyungjun Kim, Randal D. Koster, Sujay V. Kumar, Hongyi Li, Yiqi Luo, Jiafu Mao, Nate G. McDowell, Umakant Mishra, P. R. Moorcroft, George Shu Heng Pau, Daniel Ricciuto, Kevin Schaefer, C. R. Schwalm, Shawn Serbin, Elena Shevliakova, A. G. Slater, Jinyun Tang, Mathew Williams, Jianyang Xia, Chonggang Xu, Renu Joseph, D. Koch (2016). International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186. , DOI: https://doi.org/10.2172/1413397.
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Type
Report
Year
2016
Authors
43
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.2172/1413397
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