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Beyond the Means: Validating Climate Models with Higher-Order Statistics
September/October 2004 (vol. 6 no. 5)
pp. 22-29
David W. Pierce, Scripps Institution of Oceanography
Large-scale climate models are validated by comparing those models' means and variabilities to actual observation. New applications place more demands on such models, which we can address by examining the models' distributions of daily quantities such as temperature and precipitation.
Index Terms:
Earth and atmospheric sciences, model validation and analysis, mathematics and statistics
Citation:
David W. Pierce, "Beyond the Means: Validating Climate Models with Higher-Order Statistics," Computing in Science and Engineering, vol. 6, no. 5, pp. 22-29, Sept.-Oct. 2004, doi:10.1109/MCSE.2004.32
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