Highlighted Project
The Tsunami Reconnaissance Data Repository hosts information from the Indian Ocean tsunami of 2004.
NACSE Community Portals
The sharing of data, information, and results is critical for enabling research advances research. Unfortunately, data is acquired in a variety of formats that are not easily compared or interchangeable. The sheer size of many research data sets adds to the challenge.
NACSE partners with scientific communities to design and develop web-based "portals." These websites provide discipline-specific tools that allow scientists to work - as a community - to develop shared data repositories and/or computational models. Since the portal's resources are well beyond the capability of individual researchers, it allows users to integrate and analyze information in new ways, facilitating new discoveries.
The portals NACSE develops are customized to meet the individual needs of each community. For examples, see the following.
- Computational modeling and simulation can help communities be better prepared for tsunamis, but different models lead to different results - which is most accurate? The Tsunami Computational Portal provides a common interface for running and comparing the results of different computational models for tsunami behavior. Developed in collaboration with the Arctic Region Supercomputing Center, it also provides uniform access to the topographic and bathymetry data needed by any tsunami model.
- After a major natural disaster - such as earthquakes or tsunamis - teams of experts visit the region to collect "perishable" data such as physical measurements of damage, eyewiness accounts, and casualty statistics. The Tsunami Reconnaissance Data Repository is being developed for the data collected after the Indian Ocean tsunami of 2004. This shared repository will improve our understanding of the devastating effects of tsunamis, and ultimately help identify how communities can better prepare for future disasters.
- The NEES Equipment Sites' Specifications is a community repository for information about the unique laboratory facilities included in the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES).