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2 results for “CESM large ensemble”
Data for manuscript "Modes of Variability in E3SM and CESM Large Ensembles"
An adequate characterization of internal modes of climate variability (MoV) is prerequisite for both accurate seasonal predictions and the attribution and detection of forced climate change in nature. Assessing the fidelity of climate models in simulating MoV is therefore essential; however, doing so is complicated by the large intrinsic variations in MoV and the limited span of the observational record. Large ensembles (LEs) provide a unique opportunity to assess model fidelity in simulating MoV and quantify inter-model contrasts. In this work, these goals are pursued in four recently produced LEs: the Energy Exascale Earth System Model (E3SM) versions 1 and 2 LEs, and the Community Earth System Model (CESM) versions 1 and 2 LEs. In general, the representation of MoV is found to improve across successive E3SM and CESM versions concurrent with improved simulation of the base state climate. The patterns of global coupled modes and many extratropical modes are well simulated by both E3SM2 and CESM2, though various persistent shortcomings are identified. The results both demonstrate the successes of these recent model versions and suggest the potential for continued improvement in the representation of MoV with advances in model physics.
A large ensemble of spatially and annually averaged CESM CAM 100-year data
This repository contains data from an ensemble of 100-year runs on the Cheyenne computer at NCAR. The purpose of this data set is to allow an investigation of how different variables are affected by software and hardware modifications at different time scales. The data was produced by a CESM 1.3 series tag using the CAM5 model version described in Kay et al. (2015). The simulations are CESM startup runs using a present-day F compset (active atmosphere and land, data ocean, and prescribed ice concentration), CAM5 physics at approximately 1 degree latitude/longitude resolution, and the spectral element dynamical core. The output contains CAM data from 147 simulations each with a 100-year time series (100 time points) of 134 variables. Of the 147 runs, 139 are control runs that differ only by an order double precision perturbation to the initial temperature, where 114 were from an Intel compilation and 25 from a GNU compilation. The remaining 8 runs are so-called test runs, each with a single modification (e.g., single parameter, compiler, minor code change) changed relative to the control runs. The simulations originally output monthly data. The modestly sized dataset released here is a result of annually averaging the monthly files, and then spatially averaging the annual averages over the grid. Each of the 147 NetCDF files corresponding to a single simulation contains the variable names and a matrix of 100 years of annual averages for each variable.
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OpenNeuro
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