edu.ucar.opensky::articles:44439 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:44:04.545495 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7736wc9 One‐at‐a‐time parameter perturbation ensemble of the Community Land Model, version 5.1 2025-08-01T00:00:00Z publication https://n2t.net/ark:/85065/d7736wc9 https://doi.org/10.1029/2024MS004715 Kennedy, Daniel author Dagon, Katherine author Lawrence, David M. author Fisher, R. A. author Sanderson, B. M. author Collier, N. author Hoffman, F. M. author Koven, C. D. author Kluzek, Erik author Levis, Samuel author Lu, X. author Oleson, Keith W. author Zarakas, C. M. author Cheng, Yifan author Foster, Adrianna C. author Fowler, Megan author Hawkins, L. author Kavoo, T. author Kumar, S. author Newman, Andrew J. author Lawrence, Peter J. author Li, F. author Lombardozzi, Danica author Luo, Y. author Shuman, J. author Swann, A. L. S. author Swenson, Sean author Tang, Guoqiang author Wieder, William author Wood, Andrew author UCAR/NCAR - Library publisher 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&#8208;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. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <style type="text/css"></style><span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation