Smurf: System for Modelling with Uncertainty Reduction, and Forecasting

Q1 Social Sciences Journal of Open Research Software Pub Date : 2021-02-05 DOI:10.5334/JORS.312
I. Mirouze, S. Ricci
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引用次数: 2

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
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蓝精灵:具有不确定性减少和预测的建模系统
Smurf是一个用Python开发的开源模块化系统,用于运行和循环数据同化(DA)系统。它由数值模式管理、同化方案和观测仪器三个超级类组成。通过定义一个子类,可以很容易地插入任何新项,该子类将根据需要覆盖尽可能多的方法。非侵入性的,Smurf可以在任何应用领域中使用任何语言编写的数值模型。通讯作者:Isabelle Mirouze
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Open Research Software
Journal of Open Research Software Social Sciences-Library and Information Sciences
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
21 weeks
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