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Title: The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation

Abstract

©2018. The Authors. The increasing complexity of Earth system models has inspired efforts to quantitatively assess model fidelity through rigorous comparison with best available measurements and observational data products. Earth system models exhibit a high degree of spread in predictions of land biogeochemistry, biogeophysics, and hydrology, which are sensitive to forcing from other model components. Based on insights from prior land model evaluation studies and community workshops, the authors developed an open source model benchmarking software package that generates graphical diagnostics and scores model performance in support of the International Land Model Benchmarking (ILAMB) project. Employing a suite of in situ, remote sensing, and reanalysis data sets, the ILAMB package performs comprehensive model assessment across a wide range of land variables and generates a hierarchical set of web pages containing statistical analyses and figures designed to provide the user insights into strengths and weaknesses of multiple models or model versions. Described here is the benchmarking philosophy and mathematical methodology embodied in the most recent implementation of the ILAMB package. Comparison methods unique to a few specific data sets are presented, and guidelines for configuring an ILAMB analysis and interpreting resulting model performance scores are discussed. ILAMB is being adopted bymore » modeling teams and centers during model development and for model intercomparison projects, and community engagement is sought for extending evaluation metrics and adding new observational data sets to the benchmarking framework.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [5];  [6]; ORCiD logo [6]
  1. Climate Change Science Institute Oak Ridge National Laboratory Oak Ridge TN USA
  2. Climate Change Science Institute Oak Ridge National Laboratory Oak Ridge TN USA, Department of Civil and Environmental Engineering University of Tennessee, Knoxville Knoxville TN USA
  3. Climate and Global Dynamics Division National Center for Atmospheric Research Boulder CO USA
  4. Department of Climate and Space Sciences and Engineering University of Michigan Ann Arbor MI USA
  5. Climate Sciences Department Lawrence Berkeley National Laboratory Berkeley CA USA
  6. Department of Earth System Science University of California Irvine CA USA
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1481226
Alternate Identifier(s):
OSTI ID: 1481227; OSTI ID: 1489599; OSTI ID: 1563970
Grant/Contract Number:  
AC05-00OR22725; AC02-05CH11231
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 10 Journal Issue: 11; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; benchmarking; Earth system model; model evaluation

Citation Formats

Collier, Nathan, Hoffman, Forrest M., Lawrence, David M., Keppel‐Aleks, Gretchen, Koven, Charles D., Riley, William J., Mu, Mingquan, and Randerson, James T. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation. United States: N. p., 2018. Web. doi:10.1029/2018MS001354.
Collier, Nathan, Hoffman, Forrest M., Lawrence, David M., Keppel‐Aleks, Gretchen, Koven, Charles D., Riley, William J., Mu, Mingquan, & Randerson, James T. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation. United States. https://doi.org/10.1029/2018MS001354
Collier, Nathan, Hoffman, Forrest M., Lawrence, David M., Keppel‐Aleks, Gretchen, Koven, Charles D., Riley, William J., Mu, Mingquan, and Randerson, James T. 2018. "The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation". United States. https://doi.org/10.1029/2018MS001354.
@article{osti_1481226,
title = {The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation},
author = {Collier, Nathan and Hoffman, Forrest M. and Lawrence, David M. and Keppel‐Aleks, Gretchen and Koven, Charles D. and Riley, William J. and Mu, Mingquan and Randerson, James T.},
abstractNote = {©2018. The Authors. The increasing complexity of Earth system models has inspired efforts to quantitatively assess model fidelity through rigorous comparison with best available measurements and observational data products. Earth system models exhibit a high degree of spread in predictions of land biogeochemistry, biogeophysics, and hydrology, which are sensitive to forcing from other model components. Based on insights from prior land model evaluation studies and community workshops, the authors developed an open source model benchmarking software package that generates graphical diagnostics and scores model performance in support of the International Land Model Benchmarking (ILAMB) project. Employing a suite of in situ, remote sensing, and reanalysis data sets, the ILAMB package performs comprehensive model assessment across a wide range of land variables and generates a hierarchical set of web pages containing statistical analyses and figures designed to provide the user insights into strengths and weaknesses of multiple models or model versions. Described here is the benchmarking philosophy and mathematical methodology embodied in the most recent implementation of the ILAMB package. Comparison methods unique to a few specific data sets are presented, and guidelines for configuring an ILAMB analysis and interpreting resulting model performance scores are discussed. ILAMB is being adopted by modeling teams and centers during model development and for model intercomparison projects, and community engagement is sought for extending evaluation metrics and adding new observational data sets to the benchmarking framework.},
doi = {10.1029/2018MS001354},
url = {https://www.osti.gov/biblio/1481226}, journal = {Journal of Advances in Modeling Earth Systems},
issn = {1942-2466},
number = 11,
volume = 10,
place = {United States},
year = {2018},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at https://doi.org/10.1029/2018MS001354

Citation Metrics:
Cited by: 18 works
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