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The award-winning Land Information System (LIS) is a high performance land surface modeling and data assimilation system, based on GSFC's Land Data Assimilation Systems. This site provides LIS source codes and sample data to registered users.

Land surface models predict terrestrial water, energy and biogeophysical processes critical for applications in weather and climate prediction, agricultural forecasting, water resources management, hazard mitigation and mobility assessment.

The main software components of LIS are:

LIS driver: A model control and input/output system that executes multiple offline land surface models over regional or global grids/tiles at spatial resolutions down to 1km.
Land surface models: The LIS source code currently includes 3 different land surface models, namely,

The NCAR Community Land Model (CLM);
The community Noah land surface model (Noah); and
The Variable Infiltration Capacity model (VIC).

The data used by LIS include:

Parameter data: Properties of the land surface that change on timesteps of a day or longer, e.g., soil, land cover, topography.
"Forcing" data: Atmospheric inputs to the land surface models, including precipitation, radiation, and surface winds, temperature, pressure and humidity.

LIS is a NASA Computational Technologies Round-3 Grand Challenge Investigation being led by the Hydrological Sciences Branch at NASA Goddard Space Flight Center.

Questions about LIS? Contact:

Project Manager

George Mason University

Curator:
Responsible NASA Official:
Developed by: Land Information Systems
Graphics: Technical Information Services Branch (TISB), Code 293
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