Smurf: System for Modelling with Uncertainty Reduction, and Forecasting

Abstract

Smurf is an open source modular system developed in Python for running and cycling data assimilation (DA) systems. It is organised around three super classes for numerical model management, assimilation schemes and observation instruments. Any new item can be easily plugged in by defining a child class that will override as many methods as necessary. Non intrusive, Smurf can be used in any applicative domain for numerical models written in any language. CORRESPONDING AUTHOR: Isabelle Mirouze