ShakeMap manual: technical manual, user's guide, and software guide

By David J. Wald, Bruce Worden, V. Quitoriano, K. Pankow. 2005

297 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics

View Paper: https://www.semanticscholar.org/paper/a7536ed727fe923e74a1402c9f97970f0877b3d3

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

1. E. Brodsky
2. N. V. Elst
3. B. E. Shaw
4. Thomas H. Jordan
5. G. Biasi
6. D. Jackson
7. Edward Field
8. A. Michael

In Geophysics

1. N. V. Elst
2. E. Brodsky
3. Tom Parsons
4. Wayne Thatcher
5. B. E. Shaw
6. Thomas H. Jordan
7. G. Biasi
8. D. Jackson

Citations in the corpus

• Connecting near-field and far-field earthquake triggering to dynamic strain (2010, methodology): “PGV is corrected to hard rock values following the Shakemap methodology, which uses NEHRP site classifications based on shallow shear wave velocity [Wald et al., 2006, section 2.4.3].”
• Uniform California Earthquake Rupture Forecast, Version 3 (UCERF3)—The Time‐Independent Model (2014, background): “ERFs are also useful for choosing earthquake-planning scenarios (e.g., Wald et al., 2005) and for quantifying what events might be unfolding in an earthquake early warning system (e.g., Cua et al., 2009).”