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Tsunami Data Management. An Initial Report on the Management of Environmental Data Required to Minimize the Impact of Tsunamis in the United States. Version 1.0

机译:海啸数据管理。关于最大限度减少海啸在美国影响所需的环境数据管理的初步报告。版本1.0

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NOAAs Tsunami Mission is to provide reliable tsunami forecasts and warnings, and to promote community resiliency. To accomplish the forecast and warning, NOAA relies on real-time access to global environmental data including seismic, Deep-ocean Assessment and Reporting of Tsunamis, and coastal water level (tide gauge) data. This Report focuses on the acquisition, processing, distribution, long-term archive of, and access to, these data. Gaps in the end-to-end system are identified and recommendations made to address vulnerabilities. A robust tsunami warning and mitigation system also relies on the free and open exchange and long-term management of high quality data and science products. The Report does not currently address all of the tsunami observation and product archive concerns. Among the additional topics not addressed are: the long-term archive and access of the non-U.S. coastal water level data, including Global Sea Level Observing System (GLOSS); archive of tsunami models including model inputs (computational grids, deformation sources, boundary conditions and forcings) and outputs; published tsunami technical reports from NOAA and the National Tsunami Hazard Mitigation Program (NTHMP); published evacuation maps and safety brochures; post-event survey reports; and the role of the International Tsunami Information Center. All of these topics required additional discussion within NOAA and with the NTHMP and other partners nationally and internationally. Long-term management of data implies stewardship of data consisting of the application of rigorous analyses and oversight to ensure that data meet the needs of users. This includes documenting measurement and processing practices; providing feedback on observing system performances; intercomparisons of data for validation; reprocessing; and, recommending corrective action for errant or non-optimal systems. Close collaboration between system developers, operational users, data centers, and researchers within, and external to NOAA strengthen our data stewardship.

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