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Stochastic Parameterization to Represent Variability and Extremes in Climate Modeling., , , , , , , , , и . ICCS, том 29 из Procedia Computer Science, стр. 1146-1155. Elsevier, (2014)Progress towards accelerating the unified model on hybrid multi-core systems., , , , , , , , , и . PASC, стр. 8:1-8:9. ACM, (2021)Exploring an Ensemble-Based Approach to Atmospheric Climate Modeling and Testing at Scale., , , и . ICCS, том 108 из Procedia Computer Science, стр. 735-744. Elsevier, (2017)A Multivariate Approach to Ensure Statistical Reproducibility of Climate Model Simulations., , , , и . PASC, стр. 14:1-14:10. ACM, (2019)Ongoing solution reproducibility of earth system models as they progress toward exascale computing., , , , , и . Int. J. High Perform. Comput. Appl., (2019)Ensuring statistical reproducibility of ocean model simulations in the age of hybrid computing.. PASC, стр. 1:1-1:9. ACM, (2021)Fidelity of Precipitation Extremes in High Resolution Global Climate Simulations., , , , и . ICCS, том 51 из Procedia Computer Science, стр. 2178-2187. Elsevier, (2015)Evaluating Carbon Extremes in a Coupled Climate-Carbon Cycle Simulation., , , и . ICDM Workshops, стр. 303-310. IEEE, (2019)