The Land Information System (LIS) is a software framework for high performance terrestrial hydrology modeling and data assimilation developed with the goal of integrating satellite and ground-based observational data products and advanced modeling techniques to produce optimal fields of land surface states and fluxes.
The LIS development is led by the Hydrological Sciences Laboratory at NASA's Goddard Space Flight Center.
Introducing the LIS Framework
Video Credit: NASA GSFC.
- LIS is an interagency testbed for land surface modeling and data assimilation and is used at NASA/GSFC, NOAA/NCEP, and 557th Weather Wing.
- LIS allows customized land data assimilation systems to be built, assembled and reconfigured easily, using shared plugins and standard interfaces.
- LIS enables the use of an ensemble of land surface models, including Noah, Noah-MP, CLM, VIC, CABLE, Sacramento/SNOW17, among others.
- LIS provides a portable, extensible, and flexible infrastructure for testing and transitioning the latest Earth science research into operations with interagency partners.
- LIS is the land component for several Earth system models (e.g., NU-WRF).
- LIS is the software framework for the Land Data Assimilation System (LDAS) projects (GLDAS, NLDAS, NCA-LDAS, and FLDAS) developed within the Hydrological Sciences Laboratory at NASA Goddard. These instances of LIS are driven by long-term data records of surface meteorological fields specific to that LDAS. For more information on the different LDAS projects, please visit their website.
The LISF team is glad to announce the LISF Public 7.4.0 Release of the software:
NASA scientists use LIS and NASA satellite datasets to show how human activities and cattle grazing helped set the stage for extreme fire years that occurred under a prolonged drought in the Pantanal region of South America, where one of the largest freshwater wetland