A Multivariate Map-Comparison Method for Spatial Evaluation of Model Experiments and Model-Data Comparison — A Synthesis Tool for CMIP-6 Illustrated Using Results from SeaRISE
نویسندگان
چکیده
Numerical simulations resultant from the Ice Sheet Model Intercomparison Project (ISMIP6), the Sea-Ice Model Intercomparison Project (SIMIP) and other components of the Coupled Model Intercomparison Project 6 (CMIP6) will produce many different spatial variables, from a number of models, a number of experiments and for several scenarios. The typical approaches for analysis of multi-variate multi-model spatial experiment results, or maps, used to date are difference maps or 5 visual comparison based on a pair of the resultant maps or alternatively plots of a summarizing parameter (one value per map) if several maps are involved in a comparison. Here we introduce a multivariate map-comparison method for model evaluation and spatial model-data comparison, that is specifically designed to match the goals and geographic regions of ISMIP6 and SIMIP. The method employs an algebraic semi-norm defined in a space of any finite order over a spatial domain. The map comparison tool MAPCOMP facilitates spatial analysis of results from multi-variate multi-model experiments for any number 10
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