edu.ucar.opensky::articles:26296 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T19:35:11.492707 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7gf0zgt https://doi.org/10.5066/F7542KMD https Related Dataset #1 GIS Features of the Geospatial Fabric for National Hydrologic Modeling https://doi.org/10.57931/1885756 https Related Dataset #2 IM3/HyperFACETS Thermodynamic Global Warming (TGW) Simulation Datasets https://doi.org/10.57931/1922953 https Related Dataset #3 CLM5 CAMELS Basins Ensemble https://doi.org/10.5281/ZENODO.7039118 https Related Software #1 IMMM-SFA/clm_hydroparameter_calibration: v1.0.0 Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States 2023-04-06T00:00:00Z publication https://n2t.org/ark:/85065/d7gf0zgt https://doi.org/10.1038/s41597-023-02049-7 Yan, H. author Sun, N. author Eldardiry, H. author Thurber, T. B. author Reed, P. M. author Malek, K. author Gupta, R. author Kennedy, Daniel author Swenson, Sean author Wang, L. author Li, D. author Vernon, C. R. author Burleyson, C. D. author Rice, J. S. author UCAR/NCAR - Library publisher Land surface models such as the Community Land Model Version 5 (CLM5) are essential tools for simulating the behavior of the terrestrial system. Despite the extensive application of CLM5, limited attention has been paid to the underlying uncertainties associated with its hydrological parameters and how these uncertainties affect water resource applications. To address this long-standing issue, we use five meteorological datasets to conduct a comprehensive hydrological parameter uncertainty characterization of CLM5 over the hydroclimatic gradients of the conterminous United States. Key datasets produced from the uncertainty characterization experiment include: a benchmark dataset of CLM5 default hydrological performance, parameter sensitivities for 28 hydrological metrics, and large-ensemble outputs for CLM5 hydrological predictions. The presented datasets will assist CLM5 calibration and support broad applications, such as evaluating drought and flood vulnerabilities. The datasets can be used to identify the hydroclimatological conditions under which parametric uncertainties demonstrate substantial effects on hydrological predictions and clarify where further investigations are needed to understand how hydrological prediction uncertainties interact with other Earth system processes. 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 Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation