What is required for data assimilation that is applicable to big data in the solid Earth science? Importance of simulation-/data-driven data assimilation

摘要: Data assimilation (DA), which integrates numerical simulation models and observation data based on the Bayesian statistics, has been spreading its application field including solid Earth science. However, current DA is a sort of deductive modeling method strongly depending given models, so that it never extracts, from big data, information beyond priori assumptions models. The present tutorial paper discusses limitation DA, indicates an orientation how to implement data-driven methods procedure. Sparse such as lasso potential realize this, although specific are still under investigation.