Probabilistic tsunami forecasting for early warning

Autor: J. Selva, S. Lorito, M. Volpe, F. Romano, R. Tonini, P. Perfetti, F. Bernardi, M. Taroni, A. Scala, A. Babeyko, F. Løvholt, S. J. Gibbons, J. Macías, M. J. Castro, J. M. González-Vida, C. Sánchez-Linares, H. B. Bayraktar, R. Basili, F. E. Maesano, M. M. Tiberti, F. Mele, A. Piatanesi, A. Amato
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-25815-w
Popis: Probabilistic tsunami forecasting (PTF) defines an approach to tsunami early warning based on uncertainty quantification, enhancing forecast accuracy and enabling rational decision making. PTF is here developed for near-source tsunami warning, and tested in hindcasting mode over a wide range of past earthquakes.
Databáze: Directory of Open Access Journals