A Web-based Visual Analytic Framework for Understanding Large-scale Environmental Models: A Use Case for the Community Land Model

Yang Xu, Dali Wang, Tomislav Janjusic, Wei Wu, Yu Pei, Zhuo Yao

Research output: Journal article publicationConference articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Published by Elsevier B.V. This study introduces a web-based visual analytic framework to better understand the software structures of large-scale environmental models. The framework integrates data management, software structures analysis, and web-based visualizations. A system for the Community Land Model (CLM) is developed to demonstrate the capability of the proposed framework. It consists of three major components: (1) a Fortran-syntax analysis tool that decomposes CLM source code into simpler forms; (2) an application tier that further analyzes and converts the prepro-cessed data into meaningful software structural information; (3) a web-based front end that is developed using state-of-the-art web technologies and visualization toolkit (e.g., D3.js). The framework provides users with easy access to the internal structures of complex environmental models. Currently, the prototype system is being used by CLM modelers and field scientists to tackle different environmental research problems.
Original languageEnglish
Pages (from-to)1731-1740
Number of pages10
JournalProcedia Computer Science
Volume108
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
EventInternational Conference on Computational Science ICCS 2017 - ETH Zurich, Zurich, Switzerland
Duration: 12 Jun 201714 Jun 2017

Keywords

  • environment
  • information visualization
  • software engineering
  • web-based services

ASJC Scopus subject areas

  • Computer Science(all)

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