Title :
Beyond the means: validating climate models with higher-order statistics
Author :
Pierce, David W.
Author_Institution :
Climate Res. Div., Scripps Instn. of Oceanogr., San Diego, CA, USA
Abstract :
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.
Keywords :
climatology; formal verification; higher order statistics; physics computing; precipitation; temperature; climate model validation; higher-order statistics; precipitation; temperature; Atmosphere; Atmospheric modeling; Clouds; Equations; Higher order statistics; Ocean temperature; Predictive models; Sea ice; Sea surface; Water; 65; Earth and atmospheric sciences; mathematics and statistics; model validation and analysis;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2004.32
