Title :
An Integrated Hydrologic Modeling and Data Assimilation Framework
Author :
Kumar, Sudhakar ; Peters-Lidard, Christa ; Yudong Tian ; Reichle, R. ; Geiger, J. ; Alonge, C. ; Eylander, J. ; Houser, P.
Abstract :
The Land Information System (LIS) is a multiscale hydrologic modeling and data assimilation framework that integrates the use of satellite and ground-based observational data products with advanced land-surface modeling tools to aid several application areas, including water resources management, numerical weather prediction, agricultural management, air quality, and military mobility assessment.
Keywords :
data assimilation; environmental science computing; geophysics computing; hydrology; LIS; Land Information System; advanced land-surface modeling tools; agricultural management; air quality; data assimilation framework; ground-based observational data products; integrated hydrologic modeling; military mobility assessment; numerical weather prediction; water resources management; Atmospheric modeling; Data assimilation; Earth; Land surface; NASA; Object oriented modeling; Predictive models; Resource management; Water resources; Weather forecasting; Land Information System; NASA; data assimilation frameworks; hydrologic modeling;
DOI :
10.1109/MC.2008.475
