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Title: International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186

Abstract

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.

Authors:
 [1]; ;  [2];  [3];  [4];  [5]; ; ; ; ; ; ; ; ; ; ; ; ; ; more »; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; « less
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Michigan, Ann Arbor, MI (United States)
  3. National Center for Atmospheric Research, Boulder, CO (United States)
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  5. Univ. of California, Irvine, CA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1413397
Report Number(s):
PNNL-26550
KP1703020
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Hoffman, Forrest M., Koven, Charles D., Kappel-Aleks, Gretchen, Lawrence, David M., Riley, William, Randerson, James T., Ahlstrom, Anders, Abramowitz, G., Baldocchi, Dennis, Bond-Lamberty, Benjamin, De Kauwe, Martin G., Denning, Scott, Desai, Ankur R., Eyring, Veronika, Fisher, Joshua B., Fisher, R., Gleckler, Peter J., Huang, Maoyi, Hugelius, Gustaf, Jain, Atul K., Kiang, Nancy Y., Kim, Hyungjun, Koster, Randy, Kumar, Sujay V., Li, Hongyi, Luo, Yiqi, Mao, Jiafu, McDowell, Nate G., Mishra, Umakant, Moorcroft, Paul, Pau, George, Ricciuto, Daniel M., Schaefer, Kevin, Schwalm, C., Serbin, Shawn, Shevliakova, Elena, Slater, Andrew G., Tang, Jinyun, Williams, Mathew, Xia, Jianyang, Xu, Chonggang, Joseph, Renu, and Koch, Dorothy. International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186. United States: N. p., 2016. Web. doi:10.2172/1413397.
Hoffman, Forrest M., Koven, Charles D., Kappel-Aleks, Gretchen, Lawrence, David M., Riley, William, Randerson, James T., Ahlstrom, Anders, Abramowitz, G., Baldocchi, Dennis, Bond-Lamberty, Benjamin, De Kauwe, Martin G., Denning, Scott, Desai, Ankur R., Eyring, Veronika, Fisher, Joshua B., Fisher, R., Gleckler, Peter J., Huang, Maoyi, Hugelius, Gustaf, Jain, Atul K., Kiang, Nancy Y., Kim, Hyungjun, Koster, Randy, Kumar, Sujay V., Li, Hongyi, Luo, Yiqi, Mao, Jiafu, McDowell, Nate G., Mishra, Umakant, Moorcroft, Paul, Pau, George, Ricciuto, Daniel M., Schaefer, Kevin, Schwalm, C., Serbin, Shawn, Shevliakova, Elena, Slater, Andrew G., Tang, Jinyun, Williams, Mathew, Xia, Jianyang, Xu, Chonggang, Joseph, Renu, & Koch, Dorothy. International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186. United States. https://doi.org/10.2172/1413397
Hoffman, Forrest M., Koven, Charles D., Kappel-Aleks, Gretchen, Lawrence, David M., Riley, William, Randerson, James T., Ahlstrom, Anders, Abramowitz, G., Baldocchi, Dennis, Bond-Lamberty, Benjamin, De Kauwe, Martin G., Denning, Scott, Desai, Ankur R., Eyring, Veronika, Fisher, Joshua B., Fisher, R., Gleckler, Peter J., Huang, Maoyi, Hugelius, Gustaf, Jain, Atul K., Kiang, Nancy Y., Kim, Hyungjun, Koster, Randy, Kumar, Sujay V., Li, Hongyi, Luo, Yiqi, Mao, Jiafu, McDowell, Nate G., Mishra, Umakant, Moorcroft, Paul, Pau, George, Ricciuto, Daniel M., Schaefer, Kevin, Schwalm, C., Serbin, Shawn, Shevliakova, Elena, Slater, Andrew G., Tang, Jinyun, Williams, Mathew, Xia, Jianyang, Xu, Chonggang, Joseph, Renu, and Koch, Dorothy. 2016. "International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186". United States. https://doi.org/10.2172/1413397. https://www.osti.gov/servlets/purl/1413397.
@article{osti_1413397,
title = {International Land Model Benchmarking (ILAMB) Workshop Report, Technical Report DOE/SC-0186},
author = {Hoffman, Forrest M. and Koven, Charles D. and Kappel-Aleks, Gretchen and Lawrence, David M. and Riley, William and Randerson, James T. and Ahlstrom, Anders and Abramowitz, G. and Baldocchi, Dennis and Bond-Lamberty, Benjamin and De Kauwe, Martin G. and Denning, Scott and Desai, Ankur R. and Eyring, Veronika and Fisher, Joshua B. and Fisher, R. and Gleckler, Peter J. and Huang, Maoyi and Hugelius, Gustaf and Jain, Atul K. and Kiang, Nancy Y. and Kim, Hyungjun and Koster, Randy and Kumar, Sujay V. and Li, Hongyi and Luo, Yiqi and Mao, Jiafu and McDowell, Nate G. and Mishra, Umakant and Moorcroft, Paul and Pau, George and Ricciuto, Daniel M. and Schaefer, Kevin and Schwalm, C. and Serbin, Shawn and Shevliakova, Elena and Slater, Andrew G. and Tang, Jinyun and Williams, Mathew and Xia, Jianyang and Xu, Chonggang and Joseph, Renu and Koch, Dorothy},
abstractNote = {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.},
doi = {10.2172/1413397},
url = {https://www.osti.gov/biblio/1413397}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {11}
}