Author/Authors :
S.V. Kumar a، نويسنده , , *، نويسنده , , C.D. Peters-Lidard b، نويسنده , , Y. Tian a، نويسنده , , P.R. Houser b، نويسنده , , J. Geiger، نويسنده , ,
S. Olden b، نويسنده , , L. Lighty b، نويسنده , , J.L. Eastman، نويسنده , , B. Doty c، نويسنده , , P. Dirmeyer c، نويسنده , ,
J. Adams c، نويسنده , , K. Mitchell d، نويسنده , , E.F. Wood e، نويسنده , , J. Sheffield، نويسنده ,
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.
Keywords :
High performance computing , Earth system studies , Interoperability , Land surface modeling , Object-oriented frameworks