Toward better understanding of the community land model within the earth system modeling framework

Dali Wang, Joseph Schuchart, Tomislav Janjusic, Frank Winkler, Yang Xu, Christos Kartsaklis

Research output: Journal article publicationConference articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

One key factor in the improved understanding of earth system science is the development and improvement of high fidelity models. Along with the deeper understanding of biogeophysical and biogeochemical processes, the software complexity of those earth system models becomes a barrier for further rapid model improvements and validation. In this paper, we present our experience on better understanding the Community Land Model (CLM) within an earth system modelling framework. First, we give an overview of the software system of the global offline CLM simulation. Second, we present our approach to better understand the CLM software structure and data structure using advanced software tools. After that, we focus on the practical issues related to CLM computational performance and individual ecosystem function. Since better software engineering practices are much needed for general scientific software systems, we hope those considerations can be beneficial to many other modeling research programs involving multiscale system dynamics. Published by Elsevier B.V.
Original languageEnglish
Pages (from-to)1515-1524
Number of pages10
JournalProcedia Computer Science
Volume29
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia
Duration: 10 Jun 201412 Jun 2014

Keywords

  • Community earth system model
  • Community land model
  • Global variables
  • High performance computing
  • Legacy scientific software application
  • Software profiling and debugging

ASJC Scopus subject areas

  • Computer Science(all)

Cite this