DAPPER: Data Assimilation with Python: a Package for Experimental Research

Data assimilation (DA) is the science of optimally combining sparse data and computational models, both of which are typically large and varied.Based on classical statistics, signal processing, and control systems theory, and increasingly, machine learning, DA was primarily developed in weather, climate, and oceanographic forecasting but is presently used all across the geosciences and beyond.DAPPER is a set of templates for benchmarking the performance of DA methods.Figure 1: Screenshot from "liveplotting" in DAPPER