NEAM Tsunami Hazard Model 2018 (NEAMTHM18): online data of the Probabilistic Tsunami Hazard Model for the NEAM Region from the TSUMAPS-NEAM project

Tipo Data Collection Classe Dati da Modelli Numerici

Europe Neam North-East Atlantic Ocean Mediterranean Sea Aegean Sea Marmara Sea Black Sea Earthquake Tsunami Moment Magnitude Crustal Fault Subduction Interface Megathrust Probabilistic Hazard Model Natural Hazard Disaster Risk Reduction Earth Sciences And Geology Qe - Geology [lcc] 551 Geology, Hydrology, Meteorology [ddc] 554 Earth Sciences Of Europe [ddc] 555 Earth Sciences Of Asia [ddc] 556 Earth Sciences Of Africa [ddc]

The NEAM Tsunami Hazard Model 2018 (NEAMTHM18) is a probabilistic hazard model for tsunamis generated by earthquakes. It covers the coastlines of the North-East Atlantic, the Mediterranean, and connected Seas (NEAM). In this online data product, the hazard results are provided by hazard curves calculated at 2,343 Points of Interest (POI), distributed in the North-East Atlantic (1,076 POIs), the Mediterranean Sea (1,130 POIs), and the Black Sea (137 POIs) at an average spacing of ~20 km. For each POI, hazard curves are given for the mean, 2nd, 16th, 50th, 84th, and 98th percentiles. Maps derived from hazard curves are Probability maps for Maximum Inundation Heights (MIH) of 1, 2, 5, 10, 20 meters; Hazard maps for Average Return Periods (ARP) of 500, 1,000, 2,500, 5,000, 10,000 years. For each map, precalculated displays are provided for the mean, the 16th percentile, and the 84th percentile. All data are also made accessible through an interactive web mapper and through Open Geospatial Consortium standard web services. The model was prepared in the framework of the European Project TSUMAPS-NEAM (https://tsumaps-neam.eu/) funded by the mechanism of the European Civil Protection and Humanitarian Aid Operations (grant no. ECHO/SUB/2015/718568/PREV26).

Data e Risorse

Questo dataset non ha dati

Citare come

Basili R., Brizuela B., Herrero A., Iqbal S., Lorito S., Maesano F. E., Murphy S., Perfetti P., Romano F., Scala A., Selva J., Taroni M., Thio H. K., Tiberti M. M., Tonini R., Volpe M., Glimsdal S., Harbitz C. B., Løvholt F., … Oueslati F. (2018). NEAM Tsunami Hazard Model 2018 (NEAMTHM18): online data of the Probabilistic Tsunami Hazard Model for the NEAM Region from the TSUMAPS-NEAM project. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/tsunami/neamthm18

Formati di codifica dei dati disponibili xml

Nome campo	Valore
Identificativo del dataset (DOI)	10.13127/tsunami/neamthm18
Acronimo	NEAMTHM18
Altro identificativo	Codice: ingv_309 Gestore del codice: INGV
Temi del dataset	Scienza e tecnologia
Editore del Dataset	Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Data di rilascio	01-01-2018
Data di modifica	07-02-2023
Copertura Geografica	Area di competenza dell'unità organizzativa preposta
URI di GeoNames	Non disponibile
Lingue del dataset	italiano
Estensione temporale	Non disponibile
Titolari	Istituto Nazionale di Geofisica e Vulcanologia (INGV) ROR 00qps9a02 IPA ingv
	Norwegian Geotechnical Institute (NGI) ROR 032ksge37
	Instituto Português do Mar e da Atmosfera (IPMA) ROR 01sp7nd78
	Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum (GFZ) ROR 04z8jg394
	Middle East Technical University (METU) ROR 014weej12
	University of Barcelona (UB) ROR 021018s57
	National Observatory of Athens (NOA) ROR 03dtebk39
	Centre National pour la Recherche Scientifique et Technique (CNRST) ROR 00675rp98
	National Institute of Meteorology (INM) ROR 03m6sha91
Frequenza di aggiornamento	mai
Versione di	Non disponibile
Spatial extent	{"type":"Polygon","coordinates":[[[-49.861000000000004,62.033000000000015],[-19.633,75.844],[19.225,74.572],[24.972,71.08299999999997],[41.34,42.721000000000004],[41.615,42.228999999999985],[41.743,41.929],[41.721000000000004,41.771000000000015],[34.52,31.817000000000007],[34.417,31.679000000000002],[34.283,31.543000000000006],[34.133,31.427999999999997],[-16.386,10.192000000000007],[-24.75,14.900999999999996],[-49.861000000000004,62.033000000000015]]]}
Autori	BASILI Roberto Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	BRIZUELA Beatriz Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	HERRERO André Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	IQBAL Sarfraz Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	LORITO Stefano Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	MAESANO Francesco Emanuele Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	MURPHY Shane Institut français de recherche pour l'exploitation de la mer (IFREMER), France
	PERFETTI Paolo Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	ROMANO Fabrizio Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	SCALA Antonio Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	SELVA Jacopo Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	TARONI Matteo Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	THIO Hong Kie AECOM Technical Services, United States of America
	TIBERTI Mara Monica Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	TONINI Roberto Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	VOLPE Manuela Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
	GLIMSDAL Sylfest Norwegian Geotechnical Institute (NGI), Norway
	HARBITZ Carl Bonnevie Norwegian Geotechnical Institute (NGI), Norway
	LøVHOLT Finn Norwegian Geotechnical Institute (NGI), Norway
	BAPTISTA Maria Ana Instituto Politécnico de Lisboa (IPL), Portugal Instituto Português do Mar e da Atmosfera (IPMA), Portugal
	CARRILHO Fernando Instituto Português do Mar e da Atmosfera (IPMA), Portugal
	MATIAS Luis Manuel University of Lisbon (ULisboa), Portugal
	OMIRA Rachid University of Lisbon (ULisboa), Portugal Instituto Português do Mar e da Atmosfera (IPMA), Portugal
	BABEYKO Andrey Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum (GFZ), Germany
	HOECHNER Andreas Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum (GFZ), Germany
	GURBUZ Mucahit Middle East Technical University (METU), Turkey
	PEKCAN Onur Middle East Technical University (METU), Turkey
	YALçıNER Ahmet Cevdet Middle East Technical University (METU), Turkey
	CANALS Miquel University of Barcelona (UB), Spain
	LASTRAS Galderic University of Barcelona (UB), Spain
	AGALOS Apostolos National Observatory of Athens (NOA), Greece
	PAPADOPOULOS Gerassimos National Observatory of Athens (NOA), Greece
	TRIANTAFYLLOU Ioanna National Observatory of Athens (NOA), Greece
	BENCHEKROUN Sabah Centre National pour la Recherche Scientifique et Technique (CNRST), Morocco
	AGREBI JAOUADI Hedi National Institute of Meteorology (INM), Tunisia
	ATTAFI Kheireddine National Institute of Meteorology (INM), Tunisia
	BEN ABDALLAH Samir National Institute of Meteorology (INM), Tunisia
	BOUALLEGUE Atef National Institute of Meteorology (INM), Tunisia
	HAMDI Hassene National Institute of Meteorology (INM), Tunisia
	OUESLATI Foued National Institute of Meteorology (INM), Tunisia

Progetti finanziatori

TSUMAPS-NEAM - Probabilistic tsunami hazard maps for the NEAM region, the North-East Atlantic, the Mediterranean, and connected Seas
European Commission (EC) - ECHO
[ 2016-01-01 ⇒ 2017-09-30 ]

Schema dati

Standard OGC Web Feature Service (WFS)

https://services.tsunamidata.org/NEAMTHM18/ows?service=WFS&request=GetCapabilities

Standard OGC Web Map Service (WMS)

https://services.tsunamidata.org/NEAMTHM18/ows?service=WMS&request=GetCapabilities

report

Il dataset è documentato da
- Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Tiberti, M. M., Thio, H. K., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., … Foued Oueslati. (2019). NEAMTHM18 Documentation: the making of the TSUMAPS-NEAM Tsunami Hazard Model 2018 (Version 1). Zenodo. https://doi.org/10.5281/ZENODO.3406625

Articoli su rivista

Il dataset è derivato da
- Maesano, F. E., Tiberti, M. M., & Basili, R. (2017). The Calabrian Arc: three-dimensional modelling of the subduction interface. Scientific Reports, 7(1), 8887. https://doi.org/10.1038/s41598-017-09074-8
- Glimsdal, S., Løvholt, F., Harbitz, C. B., Romano, F., Lorito, S., Orefice, S., Brizuela, B., Selva, J., Hoechner, A., Volpe, M., Babeyko, A., Tonini, R., Wronna, M., & Omira, R. (2019). A New Approximate Method for Quantifying Tsunami Maximum Inundation Height Probability. Pure and Applied Geophysics, 176(7), 3227–3246. https://doi.org/10.1007/s00024-019-02091-w
- Herrero, A., & Murphy, S. (2018). Self-similar slip distributions on irregular shaped faults. Geophysical Journal International, 213(3), 2060–2070. https://doi.org/10.1093/gji/ggy104
- Scala, A., Festa, G., Vilotte, J. P., Lorito, S., & Romano, F. (2019). Wave Interaction of Reverse‐Fault Rupture With Free Surface: Numerical Analysis of the Dynamic Effects and Fault Opening Induced by Symmetry Breaking. Journal of Geophysical Research: Solid Earth, 124(2), 1743–1758. https://doi.org/10.1029/2018jb016512
- Scala, A., Lorito, S., Romano, F., Murphy, S., Selva, J., Basili, R., Babeyko, A., Herrero, A., Hoechner, A., Løvholt, F., Maesano, F. E., Perfetti, P., Tiberti, M. M., Tonini, R., Volpe, M., Davies, G., Festa, G., Power, W., Piatanesi, A., & Cirella, A. (2019). Effect of Shallow Slip Amplification Uncertainty on Probabilistic Tsunami Hazard Analysis in Subduction Zones: Use of Long-Term Balanced Stochastic Slip Models. Pure and Applied Geophysics, 177(3), 1497–1520. https://doi.org/10.1007/s00024-019-02260-x
Il dataset è documentato da
- Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Tiberti, M. M., Thio, H. K., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., … Zaytsev, A. (2021). The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18). Frontiers in Earth Science, 8, 616594. https://doi.org/10.3389/feart.2020.616594

Dataset collegati

Il dataset è derivato da
- Basili, R., Kastelic, V., Demircioglu, M. B., Garcia Moreno, D., Nemser, E. S., Petricca, P., … Wössner, J. (2013). European Database of Seismogenic Faults (EDSF) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.6092/INGV.IT-SHARE-EDSF
- DISS Working Group. (2018, April 26). Database of Individual Seismogenic Sources (DISS), version 3.2.1 (Version 3.2.1). Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.6092/INGV.IT-DISS3.2.1
- Pondrelli S. (2002). European-Mediterranean Regional Centroid-Moment Tensors Catalog (RCMT) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.13127/rcmt/euromed
- Stucchi M., Rovida A., Gómez Capera A. A., Alexandre P., Camelbeeck T., Demircioglu, M. B., Gasperini P., Kouskouna V., Musson R. M. W., Radulian M., Sesetyan K., Vilanova S. P., Baumont D., Bungum H., Fäh D., Lenhardt W., Makropoulos K., Martínez Solares J. M., Scotti O., … Giardini D. (2012). SHARE European Earthquake Catalogue (SHEEC) 1000-1899 (Version 1.0) [Data set]. Istituto Nazionale di Geofisica e Vulcanologia (INGV). https://doi.org/10.6092/ingv.it-share-sheec.1000-1899

ISTITUTO NAZIONALE DI GEOFISICA E VULCANOLOGIA