Complexity Computational Environment: Data Assimilation SERVOGrid
نویسندگان
چکیده
We are using Web (Grid) service technology to demonstrate the assimilation of multiple distributed data sources (a typical data grid problem) into a major parallel high-performance computing earthquake forecasting code. Such a linkage of Geoinformatics with Geocomplexity demonstrates the value of the Solid Earth Research Virtual Observatory (SERVO) Grid concept, and advance Grid technology by building the first real-time large-scale data assimilation grid. Here we develop the next steps for both the SERVO concept and the identified need for a Solid Earth problem-solving environment. We use a challenging motivating problem of importance to NASA namely integrating NASA space geodetic observations with numerical simulations of a changing earth.
منابع مشابه
TerrSysMP–PDAF (version 1.0): a modular high-performance data assimilation framework for an integrated land surface–subsurface model
Modelling of terrestrial systems is continuously moving towards more integrated modelling approaches, where different terrestrial compartment models are combined in order to realise a more sophisticated physical description of water, energy and carbon fluxes across compartment boundaries and to provide a more integrated view on terrestrial processes. While such models can effectively reduce cer...
متن کاملEnhanced Predictions of Tides and Surges through Data Assimilation (TECHNICAL NOTE)
The regional waters in Singapore Strait are characterized by complex hydrodynamic phenomena as a result of the combined effect of three large water bodies viz. the South China Sea, the Andaman Sea, and the Java Sea. This leads to anomalies in water levels and generates residual currents. Numerical hydrodynamic models are generally used for predicting water levels in the ocean and seas. But thei...
متن کاملPOD/DEIM Strategies for reduced data assimilation systems
Why do we need reduced order data assimilation? Replace the current linearized cost function to be minimized in the inner loop Low-rank surrogate models that accurately represent sub-grid-scale processes Highly non-linear observation operators Increased space and time resolutions Reduced computational complexity Motivation [4/22]. The objective function J to be optimized is defined based on mod...
متن کاملImplementing Geographical Information System Grid Services to Support Computational Geophysics in a Service-Oriented Environment
We describe the architecture and implementation of the Solid Earth Research Virtual Observatory (SERVO)’s Complexity Computational Environment. We base our design on a globally scalable distributed “cyber-infrastructure,” or Grid, built around a Web Services-based approach consistent with the extended Web Service Interoperability (WS-I+) model. In order to investigate problems in earthquake mod...
متن کاملT He Analog Data Assimilation : Application to 20 Years of Altimetric Data
The reconstruction of geophysical dynamics remain key challenges in ocean, atmosphere and climate sciences. Data assimilation methods are the state-of-theart techniques to reconstruct the space-time dynamics from noisy and partial observations. They typically involve multiple runs of an explicit dynamical model and may have severe operational limitations, including the computational complexity,...
متن کامل