Hydrology Data and Information Services Center (HDISC)

1. GRACE derived terrestrial water storage (black bars), and the means from three GLDAS land surface models of soil moisture (brown dots) and snow (blue line), as deviations from their means, presented as equivalent layers of water (cm) averaged over the Mississippi River basin. Groundwater storage estimated from GRACE and land surface models, and based on monitoring well observations (black line), as deviations from their GRACE-period means, presented as equivalent layers of water (cm) averaged over the Mississippi River basin. The light blue shaded area depicts computed uncertainty in the GRACE-GLDAS estimates. Monthly accumulated evapotranspiration (mm/month) from October 2002 to September 2003. Lines represent the CEOP reference site observations (blue) and control run output from the three LSMs: Noah (orange), CLM (pink), and Mosaic (turquoise). NASA Hydrology Data and Information Services Center (HDISC) Supports Global Land Data Assimilation System (GLDAS) Products Hongliang Fang1,3, Pat Hrubiak1,3, Hiroko Kato2,4, Matthew Rodell2, Bill Teng1,3, Bruce Vollmer1 1Goddard Earth Sciences Data and Information Services Center, Code 610.2, Goddard Space Flight Center, NASA, Greenbelt, MD 20771, United States 2Hydrological Sciences Branch, Code 614.3, Goddard Space Flight Center, NASA, Greenbelt, MD 20771, United States 3RS Information Systems, Inc., 1651 Old Meadow Road, McLean, VA 22102, United States 4Earth System Sciences Interdisciplinary Center, University of Maryland, College Park, MD 20742, United States AGU 2007 Fall Meeting, San Francisco, CA, December 10-14, 2007 The Global Land Data Assimilation System (GLDAS) is generating a series of land surface state (e.g., soil moisture and surface temperature) and flux (e.g., evaporation and sensible heat flux) products simulated by four land surface models (CLM2, Mosaic, Noah and VIC). These products are now accessible at the Hydrology Data and Information Services Center (HDISC), a component of NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). Hydrology Data and Information Services Center (HDISC) Sample Soil Moisture Data Application Examples • Seasonal Forecasting - GLDAS data can be used to initialize short term and seasonal numerical weather prediction systems and hence improve forecast accuracy. • Monitoring water storage - GLDAS helps interpret the valuable and unique but low resolution hydrological data provided by the Gravity Recovery and Climate Experiment (GRACE) satellite mission. • TheCoordinated Enhanced Observing Period (CEOP) - GLDAS provides the CEOP with both model location time series (MOLTS) and gridded fields of land surface states and fluxes, which are crucial for interpreting the relationship between point observations and spatially diverse satellite observations. The top layer soil moisture from different land surface models. The soil depths are 0-2 cm for CLM2 and Mosaic, and 0-10 cm for the Noah model. HDISC supports data products generated by GSFC's Hydrological Sciences Branch. The first suite of products be hosted are that from the Global Land Data Assimilation System (GLDAS). HDISC has the capability to support more hydrology data products and provide more advanced data access and visualization tools. The goal is to develop HDISC as a data and services portal that supports weather and climate forecast, and water and energy cycle research. http://disc.gsfc.nasa.gov/hydrology/index.shtml Global Land Data Assimilation System (GLDAS) Parameter data in LIS GLDAS drives multiple, offline (not coupled to the atmosphere) land surface models, integrates a huge quantity of observation based data, and executes globally at high resolutions (2.5° to 1 km), enabled by the Land Information System (LIS), in order to generate optimal fields of land surface states (e.g., soil moisture and surface temperature) and flux (e.g., evaporation and sensible heat flux). Forcing data in LIS Geophysical parameters • Access HDISC Data • Anonymous http or ftp data downloading • Mirador search tool - • a Google-based search tool that provides discovery of, and access to, data based on keywords. Potential for GLDAS to contribute to skill in 1-month forecasts of air temperature. Top: the potential skill (assessed in the context of other sources of prediction uncertainty) for monthly forecasts that include GLDAS initialization of land surface conditions. Middle: the same metric for simulations that lack GLDAS initialization. Bottom: the difference, and thus the potential contribution of GLDAS to model skill. HDISC data holding • Further Development • Develop on-the-fly spatial and parameter subsetting and temporal aggregation tools in Mirador. • Provide daily GLDAS products through time-averaging of the current 3-hourly dataset. • Support new data format, such as NetCDF. • Access data through the Open Source Project for a Network Data Access Protocol (OPeNDAP). • Provide online visualization and analysis tool (Giovanni). References Kato, H., M. Rodell, F. Beyrich, H. Cleugh, E. van Gorsel, and H. Liu, 2007. Sensitivity of land surface simulations to model physics, land characteristics, and forcings, at four CEOP sites. Journal of the Meteorological Society of Japan, 85A, 187-204. Koster, R.D. and Coauthors, 2004. Realistic initialization of land surface states: impacts on subseasonal forecast skill. J. Hydrometeor., 5, 1049-1063 Rodell, M., J. Chen, H. Kato, J. Famiglietti, J. Nigro, and C. Wilson, 2006. Estimating ground water storage changes in the Mississippi River basin (USA) using GRACE, Hydrogeology Journal, doi:10.1007/s10040-006-0103-7. Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J. K. Entin, J. P. Walker, D. Lohmann, and D. Toll, 2004. The Global Land Data Assimilation System, Bull. Amer. Meteor. Soc., 85(3): 381-394. Mirador search interface Mirador search example