Land information system: An interoperable framework for high resolution land surface modeling

S. V. Kumar, C. D. Peters-Lidard, Y. Tian, P. R. Houser, J. Geiger, S. Olden, L. Lighty, J. L. Eastman, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, Eric F. Wood, J. Sheffield

Research output: Contribution to journalArticlepeer-review

529 Scopus citations

Abstract

Knowledge of land surface water, energy, and carbon conditions are of critical importance due to their impact on many real world applications such as agricultural production, water resource management, and flood, weather, and climate prediction. Land Information System (LIS) is a software framework that integrates the use of satellite and ground-based observational data along with advanced land surface models and computing tools to accurately characterize land surface states and fluxes. LIS employs the use of scalable, high performance computing and data management technologies to deal with the computational challenges of high resolution land surface modeling. To make the LIS products transparently available to the end users, LIS includes a number of highly interactive visualization components as well. The LIS components are designed using object-oriented principles, with flexible, adaptable interfaces and modular structures for rapid prototyping and development. In addition, the interoperable features in LIS enable the definition, intercomparison, and validation of land surface modeling standards and the reuse of a high quality land surface modeling and computing system.

Original languageEnglish (US)
Pages (from-to)1402-1415
Number of pages14
JournalEnvironmental Modelling and Software
Volume21
Issue number10
DOIs
StatePublished - Oct 2006

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

Keywords

  • Earth system studies
  • High performance computing
  • Interoperability
  • Land surface modeling
  • Object-oriented frameworks

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