FLDAS is the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System. The FLDAS is a custom instance of the NASA Land Information System (LIS) that has been adapted to work with domains, data streams, and monitoring and forecast requirements associated with food security assessment in data-sparse, developing country settings.
The goal of the Global Land Data Assimilation System (GLDAS; http://ldas.gsfc.nasa.gov) is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes (Rodell et al., 2004a).
We have developed wetness/drought indicator maps for shallow groundwater and surface and root zone soil moisture. The maps integrate data from multiple ground and space based observing systems, including NASA's Gravity Recovery and Climate Experiment (GRACE) satellite mission.
Rainfall-triggered landslides affect nearly every state in the U.S. and every country in the world, causing significant economic damage and resulting in thousands of fatalities each year. Characterizing and modeling these hazards over large scales is challenging due to the fairly small areas over which they typically occur. A new website has been developed to provide a regional and global perspective on rainfall-triggered landslides.
The NASA-USDA Global soil moisture data provides soil moisture information across the globe at 0.25°
NASA’s Energy and Water Cycle Study (NEWS) program supported an assessment of the state of the global water and energy cycles at the start of the millennium, based on data from the most advanced space and ground based measurement systems and output from observation-integrating models.
The goal of NLDAS is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities.