Smurf: System for Modelling with Uncertainty Reduction, and Forecasting

Autor: Isabelle Mirouze, Sophie Ricci
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Open Research Software, Vol 9, Iss 1 (2021)
Druh dokumentu: article
ISSN: 2049-9647
DOI: 10.5334/jors.312
Popis: 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.
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