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Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting
Research article (Stochastic Environmental Research and Risk Assessment, 2017) · cited 11× · AI/ML
Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting
Summary
Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting is a scholarly article[1].
Key Facts
Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting. Retrieved May 24, 2026, from https://4ort.xyz/entity/source-characterisation-by-mixing-long-running-tsunami-wave-numerical-simulations-and-historical-observations-within-a-m
MLA“Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/source-characterisation-by-mixing-long-running-tsunami-wave-numerical-simulations-and-historical-observations-within-a-m.
BibTeX@misc{4ortxyz_source-characterisation-by-mixing-long-running-tsunami-wave-numerical-simulations-and-historical-observations-within-a-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting}}, year = {2026}, url = {https://4ort.xyz/entity/source-characterisation-by-mixing-long-running-tsunami-wave-numerical-simulations-and-historical-observations-within-a-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Source characterisation by mixing long-running tsunami wave numerical simulations and historical observations within a metamodel-aided ABC setting — https://4ort.xyz/entity/source-characterisation-by-mixing-long-running-tsunami-wave-numerical-simulations-and-historical-observations-within-a-m (retrieved 2026-05-24)
