Over the past year, the LDAS project (involving participants from the NASA Goddard Space Flight Center, the National Weather Service's National Centers for Environmental Prediction and Office of Hydrology, Princeton University and the University of Washington) has been developing just such a land data assimilation scheme. Running on a 1/8th-degree grid in a near real-time fashion, the scheme is currently forced by terrestrial precipitation data, space-based radiation data and ETA model output. In order to create an optimal scheme, the project has involved several LSMs from the institutions named above, and may eventually include several more. One of the main tools used to coordinate this research effort has been the LDAS project web site (http://ldas.gsfc.nasa.gov). The site has served as a clearinghouse for project-related data sets and information, and features a real-time image generator (RIG). A fully interactive and web accessible tool, the RIG is based on Perl, JAVA, FORTRAN and UNIX, and has proven to be an effective, powerful means to explore and compare model output from the various LDAS LSMs.
By making use of a network-enabled computer, this poster will highlight the features of this LDAS project web site. A demonstration of the RIG will be conducted which will use results from the Mosaic LSM to show that it is possible to create an accurate, real-time snapshot of land-surface states using assimilated observations.
1SAIC General Sciences Corporation
2NASA Goddard Space Flight Center
3Raytheon ITSS
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