首页> 外文期刊>Geoscientific Model Development Discussions >Rapid development of fast and flexible environmental models: the Mobius framework v1.0
【24h】

Rapid development of fast and flexible environmental models: the Mobius framework v1.0

机译:快速发展快速灵活的环境模型:Mobius框架V1.0

获取原文
           

摘要

The Mobius model building system is a new open-source framework for building fast and flexible environmental models. Mobius makes it possible for researchers with limited programming experience to build performant models with potentially complicated structures. Mobius models can be easily interacted with through the MobiView graphical user interface and through the Python programming language. Mobius was initially developed to support catchment-scale hydrology and water-quality modelling but can be used to represent any system of hierarchically structured ordinary differential equations, such as population dynamics or toxicological models. Here, we demonstrate how Mobius can be used to quickly prototype several different model structures for a dissolved organic carbon catchment model and use built-in auto-calibration and statistical uncertainty analysis tools to help decide on the best model structures. Overall, we hope the modular model building platform offered by Mobius will provide a step forward for environmental modelling, providing an alternative to the “one size fits all” modelling paradigm. By making it easier to explore a broader range of model structures and parameterisations, users are encouraged to build more appropriate models, and in turn this improves process understanding and allows for more robust modelling in support of decision making.
机译:Mobius模型构建系统是一种新的开源框架,用于建设快速灵活的环境模型。 Mobius使研究人员可以实现有限的编程体验,以构建具有潜在复杂结构的性能模型。 Mobius模型可以通过Mobiview图形用户界面和通过Python编程语言轻松互动。 Mobius最初开发出支持集水区水文和水质建模,但可用于代表任何分层结构普通微分方程的系统,例如人口动态或毒理学模型。在这里,我们展示了Modius如何用于快速原型为溶解的有机碳容器模型进行几种不同的模型结构,并使用内置自动校准和统计不确定性分析工具来帮助确定最佳模型结构。总的来说,我们希望Mobius提供的模块化模型建筑平台将为环境建模提供一步,为“一种尺寸适合所有”建模范式提供替代方案。通过更容易探索更广泛的模型结构和参数化,鼓励用户构建更合适的模型,反过来,这改善了过程理解,并允许更强大的建模支持决策。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号