HR: 0800h
AN: H21D-1377    [Abstracts]
TI: Enabling space-based (GRACE) model assessment by linking hydrologic and geophysical models to forward model gravitational anomalies associated with geophysical masses
AU: * Beighley, R E
EM: beighley@egr.sdsu.edu
AF: San Diego State University, Civil and Environmental Engineering 5500 Campanile Drive, San Diego, CA 92182-1324
AU: Eggert, K
EM: kge@lanl.gov
AF: Los Alamos National Laboratory, Theoretical Division, Los Alamos, NM 87545
AU: Alsdorf, D
EM: alsdorf.1@osu.edu
AF: Ohio State University, Geological Sciences, Columbus, OH 43210-1308
AB: Simulating surface water processes at the global scale is vital for understanding the behavior of and interaction between the hydrological, biogeochemical and ecological cycles. Models that simulate both channel and floodplain storage and transport at large scales provide hydraulic properties (relative depth and flow velocities) and floodplain inundation characteristics (extent, duration and frequency) that are needed to address the interactions between these hydro-related cycles. However, challenges associated with the computational demands and required model parameterization and assessment at the global scale are considerable. Using recent advances in hydrologic modeling frameworks, geophysical models and space-based measurements, this research provides a methodology for simulating and assessing large scale hydraulic realism. This research integrates hydrologic and geophysical models to forward model gravitational anomalies associated with geophysical masses enabling large scale hydrologic model assessment using GRACE data products. This research utilizes a sub-basin scale hydrologic model that simulates both water-balance and hydraulic transport for uplands, channels and floodplains to quantify the spatial and temporal distribution of change in total water storage in the Amazon basin. The model uses an irregular computational grid designed for efficient parallelization suitable for simulating global scale hydraulic realism. Key model attributes are the ability to simulate total water storage (soils, channel and floodplains) and floodplain inundation characteristics (extent, duration and frequency). Estimates of change in total water storage will be linked to a geophysical (SPHERE) to simulate gravitational anomalies for assessment with space-based measurements from GRACE, while inundation characteristics can be assessed using a several space-based measurements at varying spatial and temporal resolutions.
UR: http://beighley.sdsu.edu
DE: 1805 Computational hydrology
DE: 1819 Geographic Information Systems (GIS)
DE: 1820 Floodplain dynamics
DE: 1847 Modeling
DE: 1876 Water budgets
SC: Hydrology [H]
MN: Fall Meeting 2005