One‐at‐a‐Time Parameter Perturbation Ensemble of the Community Land Model, Version 5.1
Abstract Comprehensive land models are subject to significant parametric uncertainty, which can be hard to quantify due to the large number of parameters and high model computational costs. We constructed a large parameter perturbation ensemble (PPE) for the Community Land Model version 5.1 with biogeochemistry configuration (CLM5.1‐BGC). We performed more than 2,000 simulations perturbing 211 parameters across six forcing scenarios. This provides an expansive data set, which can be used to identify the most influential parameters on a wide range of output variables globally, by biome, or by plant functional type. We found that parameter effects can exceed scenario effects and that a small number of parameters explains a large fraction of variance across our ensemble. The most important parameters can differ regionally and also based on the forcing scenario. The software infrastructure developed for this experiment has greatly reduced the human and computer time needed for CLM PPEs, which can facilitate routine investigation of parameter sensitivity and uncertainty, as well as automated calibration.
Authors
- Nathan Collier (ORCID: https://orcid.org/0000-0002-7367-3981)
- Daniel Kennedy (ORCID: https://orcid.org/0000-0001-9494-3509)
- Samuel Levis (ORCID: https://orcid.org/0000-0003-4684-6995)
- Rosie A. Fisher (ORCID: https://orcid.org/0000-0003-3260-9227)
- Linnia Hawkins (ORCID: https://orcid.org/0000-0001-6678-4248)
- Guoqiang Tang (ORCID: https://orcid.org/0000-0002-0923-583X)
- Andrew J. Newman (ORCID: https://orcid.org/0000-0001-8796-0861)
- Megan D. Fowler (ORCID: https://orcid.org/0000-0002-7668-9655)
- Benjamin Mark Sanderson (ORCID: https://orcid.org/0000-0001-8635-4624)
- Xingjie Lu (ORCID: https://orcid.org/0000-0003-3732-1978)
- Claire M. Zarakas (ORCID: https://orcid.org/0000-0001-9992-3785)
- Peter Lawrence (ORCID: https://orcid.org/0000-0002-4843-4903)
- Sean Swenson (ORCID: https://orcid.org/0000-0002-2923-1203)
- Yifan Cheng (ORCID: https://orcid.org/0000-0002-5752-9605)
- Sanjiv Kumar (ORCID: https://orcid.org/0000-0002-0472-6074)
- Katherine Dagon (ORCID: https://orcid.org/0000-0002-4518-8225)
- J. K. Shuman (ORCID: https://orcid.org/0000-0003-2588-2161)
- Andrew W. Wood (ORCID: https://orcid.org/0000-0002-6231-0085)
- Danica Lombardozzi (ORCID: https://orcid.org/0000-0003-3557-7929)
- Forrest M. Hoffman (ORCID: https://orcid.org/0000-0001-5802-4134)
- Erik Kluzek (ORCID: https://orcid.org/0000-0002-1606-9219)
- David M. Lawrence (ORCID: https://orcid.org/0000-0002-2968-3023)
- Adrianna Foster (ORCID: https://orcid.org/0000-0002-7382-0013)
- William R. Wieder (ORCID: https://orcid.org/0000-0001-7116-1985)
- Charles D. Koven (ORCID: https://orcid.org/0000-0002-3367-0065)
- Yong Luo (ORCID: https://orcid.org/0000-0002-7150-552X)
- Abigail L. S. Swann (ORCID: https://orcid.org/0000-0001-8513-1074)
- Keith W. Oleson (ORCID: https://orcid.org/0000-0002-0057-9900)
- Fang Li (ORCID: https://orcid.org/0000-0002-3686-2257)
- Thomas Kavoo (ORCID: https://orcid.org/0000-0003-0567-1092)
Institutions
- NSF National Center for Atmospheric Research (US)
- Ames Research Center (US)
- Oak Ridge National Laboratory (US)
- Lawrence Berkeley National Laboratory (US)
- University of California, Santa Barbara (US)
- Sun Yat-sen University (CN)
- Institute of Arctic and Alpine Research (US)
- University of Colorado Boulder (US)
- University of Washington (US)
- Cornell University (US)
- CICERO Center for International Climate Research (NO)
- National Aeronautics and Space Administration (US)
- Research Applications (United States) (US)
- NSF NCAR Climate and Global Dynamics Laboratory (US)
- Institute of Atmospheric Physics (CN)
- Columbia University (US)
- Auburn University (US)
- Colorado State University (US)
Publication Details
- Journal
- Journal of Advances in Modeling Earth Systems
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1029/2024ms004715
- Citations
- 6
- Primary Topic
- Soil Carbon and Nitrogen Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 7.12
Funders
- National Science Foundation
- U.S. Department of Energy
- National Center for Atmospheric Research
- Office of Science
- National Key Research and Development Program of China
- Biological and Environmental Research