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Hurricane-driven storm surge is one of the most deadly and costly naturaldisasters, making precise quantification of the surge hazard of greatimportance. Surge hazard quantification is often performed throughphysics-based computer models of storm surges. Such computer models can beimplemented with a wide range of fidelity levels, with computational burdensvarying by several orders of magnitude due to the nature of the system. Thethreat posed by surge makes greater fidelity highly desirable, however suchmodels and their high-volume output tend to come at great computational cost,which can make detailed study of coastal flood hazards prohibitive. These needsmake the development of an emulator combining high-dimensional output frommultiple complex computer models with different fidelity levels important. Wepropose a parallel partial autoregressive cokriging model to predicthighly-accurate storm surges in a computationally efficient way over a largespatial domain. This emulator has the capability of predicting storm surges asaccurately as a high-fidelity computer model given any storm characteristicsover a large spatial domain.

Multifidelity Computer Model Emulation with High-Dimensional Output: An Application to Storm Surge