edu.ucar.opensky::technotes:591 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T23:01:09.466099 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7qz2fdt https://doi.org/10.5065/jk8v-pn52 https Related Dataset #1 A large ensemble of spatially and annually averaged CESM CAM 100-year data Characterizing Internal Variability and Detecting Changes in Model and Computational Parameters in a Century-Long CESM Ensemble 2021-10-18T00:00:00Z publication https://n2t.org/ark:/85065/d7qz2fdt https://doi.org/10.5065/m291-1410 Wang, Z. author Peterson, C. author Zhou, Q. author Subramanian, R. author Kunke, J. author Baker, Allison author Moyer, E. author Hammerling, D. author UCAR/NCAR - Library publisher Ensembles of climate model projections enable better quantifying intrinsic climate variability and the resulting uncertainty in projected climate. This work uses a 100-year ensemble of unforced simulations from the Community Earth System Model (CESM1) to quantify the impact of different hardware, software, and model parameter settings on the statistical properties of climate model output. The goal is to develop lightweight, computationally efficient methods of detecting statistically significant differences in marginal distributions, stationarity, and autocorrelation with only annually and globally averaged climate model outputs. We present a series of methods and data visualization techniques for this purpose, and show that changes in model and computational parameters can be detected even with highly reduced model output. Results can inform the design of ensembles, and the tests developed can help users quickly identify distributional differences and benchmark their model simulations against other known ensembles. 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