CoopEUS EMSO-OOI Case Study: Tsunami Modelling and Early Warning Systems for Near Source Areas (Mediterranean, Juan de Fuca).

Monday, 15 December 2014
Mairi Best1, Laura Beranzoli2, Francesco Chierici3, John R Delaney4, Davide Embriaco2, Nancy Galbraith5, Robert Huber6, John A Orcutt7 and Robert A Weller5, (1)Organization Not Listed, Washington, DC, United States, (2)National Institute of Geophysics and Volcanology, Rome, Italy, (3)CNR National Institute for Astrophysics, Rome, Italy, (4)University of Washington Seattle Campus, Seattle, WA, United States, (5)WHOI, Monument Beach, MA, United States, (6)MARUM - University of Bremen, Bremen, Germany, (7)University of California San Diego, La Jolla, CA, United States
There is a need for tsunami modeling and early warning systems for near-source areas. For example this is a common public safety threat in the Mediterranean and Juan de Fuca/NE Pacific Coast of N.A.; Regions covered by the EMSO and OOI ocean observatories respectively. Through the CoopEUS EU-US cooperation project, a number of environmental research infrastructures have come together to coordinate efforts on environmental challenges; this tsunami case study tackles one such challenge.

There is a mutual need of tsunami event field data and modeling to deepen our experience in testing methodology and developing real-time data processing. Tsunami field data are already available for past events, part of this use case compares these for compatibility, gap analysis, and model groundtruthing. It also reviews sensors needed and harmonizes instrument settings. Sensor metadata and registries are compared, harmonized, and aligned. Data policies and access are also compared and assessed for gap analysis. Modelling algorithms are compared and tested against archived and real-time data. This case study will then be extended to other related tsunami data and model sources globally with similar geographic and seismic scenarios (e.g. DONET, ONC).