|
Abstract:
|
Climate models use systems of partial differential equations to describe the temporal evolution of climate, oceans, atmosphere, ice, and land-use processes, across a spatial domain. Scientists rely on climate models to study why the Earth’s climate is changing and how it might change in the future, as well as to study the dynamic of different climate factors including temperature, rain and snow, hurricane formation, sea ice extent, etc. An interesting question is how we should evaluate whether a climate model simulates the Earth’s real climate. Many existing methods for comparing two climate fields shed light on climate model validation. However, they are not tailored for comparing spatial extremes fields, and the learnings obtained from their applications to climate model evaluation should not be directly extended to climate extremes. We propose an approach to evaluate the extreme behavior of climate model simulations. Our method can identify the regions where the simulated extremes are different from reality, and this will provide climate scientists insights on how to improve climate models.
|
