The Atlas of ShakeMaps (~14,100 earthquake, 1900-2019) provides a consistent and quantitative description of the distribution of shaking intensity for calibrating earthquake loss estimation methodologies, like those used in the PAGER system. Version 4 of the Atlas includes a vastly expanded compilation of ShakeMaps for consequential and widely felt earthquakes using updated ShakeMap (Version 4) software. For each event, we have attempted to gather available macroseismic, recorded ground motions and finite fault inputs. Please let us know if you know of additional datasets that could be added to specific events or sets of events.
ShakeMap Atlas, By Year
Accessing the ShakeMap Atlas
Select events or collections of events ShakeMap Atlas can be accessed via the USGS Earthquake Catalog Search or with queries from the search tools we provide described below.
1. Earthquake Catalog Search
The Search Earthquake Catalog interface can be used to find Atlas events. Click on Advanced Options and Contributor to choose "ShakeMap Atlas" in the list. A sample search query result is below the list on the right. To simply modify the query, click on the "gear" icon in the upper right banner and then click on the "Search Earthquake Catalog" button.
The full ShakeMap Atlas is contains too many earthquakes to load in its entirety via the Search Earthquake Catalog interface. To obtain Atlas data using the catalog search tool, it is necessary to search for a smaller subset of events as search results displayed via the Search interface is limited to 2,000 events.
To download a csv file of all events in the Atlas using the same catalog search tool. To do so, select “Output Options” -> “Format” -> “CSV” on the search page.
For example, view Atlas ShakeMaps from 2000-2005.
2. Libcomcat and Getproducts
Libcomcat is a Python library that allows easy access to the full ShakeMap Atlas, or specified subsets, via the command line. One of the standard tools with libcomcat is getproducts, which greatly facilitates the retrieval of ShakeMap products. Even more complex queries can be facilitated with other libcomcat tools.
For example, view a sample ComCat search using an iPython Notebook.