Uniform California earthquake rupture forecast, version 3 (UCERF3): the time-independent model
By Edward Field, G. Biasi, P. Bird, T. Dawson, K. Felzer, D. Jackson, K. Johnson, Thomas H. Jordan, C. Madden, A. Michael and 8 more. 2013
184 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics
View Paper: https://www.semanticscholar.org/paper/42be6e48e48be7f5a6c852ba687e0abf67672c5a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- B. E. Shaw
- Thomas H. Jordan
- G. Biasi
- D. Jackson
- Edward Field
- A. Michael
- K. Johnson
- Agnes Helmstetter
In Geophysics
- Tom Parsons
- Wayne Thatcher
- B. E. Shaw
- Thomas H. Jordan
- G. Biasi
- D. Jackson
- Edward Field
- Warner Marzocchi
Citations in the corpus
- Uniform California Earthquake Rupture Forecast, Version 3 (UCERF3)—The Time‐Independent Model (2014, methodology): “Not only have those concerns turned out to be unfounded (OpenSHA calculation time is about the same as it was for UCERF2, in part because of the increased speed of computers), but our analysis also demonstrates that use of a single inversion solution might be a legitimate way of down sampling the en”
- Accounting for Epistemic Uncertainty in PSHA: Logic Tree and Ensemble Modeling (2015, methodology): “…we show how ensemble modeling applies to two different realistic cases with few (a synthetic case for Italy) and many (Uniform California Earthquake Rupture Forecast, v.3 [UCERF3]; Field et al., 2014) logic-tree outcomes that describe well a wide range of possible scenarios for PSHA calculations.”