What is LIS?
Land Information System (LIS) is a flexible land surface modeling and data assimilation framework developed with the goal of integrating satellite- and ground-based observational data products and advanced land surface modeling techniques to produce optimal fields of land surface states and fluxes. The LIS infrastructure provides the modeling tools to integrate these observations with the model forecasts to generate improved estimates of land surface conditions such as soil moisture, evaporation, snow pack, and runoff, at 1km and finer spatial resolutions and at one-hour and finer temporal resolutions.
The fine scale spatial modeling capability of LIS allows it take advantage of Earth Observing System (EOS)-era observations, such as Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index, snow cover, and surface temperature, at their full native resolution. LIS features a high performance and flexible design, provides infrastructure for data integration and assimilation, and operates on an ensemble of land surface models for extension over user-specified regional or global domains. LIS is designed using advanced software engineering principles to enable the reuse and community sharing of modeling tools, data resources, and assimilation algorithms.
The system is designed as an object-oriented framework, with abstractions defined for
customization and extension to different applications.
These extensible interfaces allow the incorporation of new domains, land surface models (LSMs),
land surface parameters, meteorological inputs, data assimilation and optimization algorithms.
The extensible nature of these interfaces and the component style specification of the system
allow rapid prototyping and development of new applications.
These features enable LIS to serve as both:
(Click on this image to expand it in a separate window)
LIS currently includes a comprehensive suite of subsystems to support uncoupled and coupled land data assimilation. A schematic of the LIS framework with the associated subsystems are shown in the Figure above.
Date Last Modified: 12/20/12