Difference between revisions of "CSEP Minutes 05-15-2019"

From SCECpedia
Jump to navigationJump to search
Line 1: Line 1:
 
'''[[CSEP_Working_Group|CSEP Working Group Home Page]]<br>'''
 
'''[[CSEP_Working_Group|CSEP Working Group Home Page]]<br>'''
  
 +
''Participants: Andy Michael, Max Werner, David Rhoades, Giuseppe, Phil Maechling and William Savran
 +
''
 
Italian OEF
 
Italian OEF
 
* Operational, but only available to civil protection.
 
* Operational, but only available to civil protection.
Line 13: Line 15:
 
* Worth investigating meteorology literature for their solutions.
 
* Worth investigating meteorology literature for their solutions.
 
* Separating testing windows useful for understanding model performance but not required mathematically.
 
* Separating testing windows useful for understanding model performance but not required mathematically.
 +
* Marzocchi et al., 2019 applied method to estimate model performance after some period using power-law model.
 +
* Usage must be considered to guide evaluations.
 +
* For example, multiple time-windows from same start time assume that decision maker needs to make a decision now.
 +
 +
CSEP Workshop Funded!!
 +
  
 
'''Relevant questions:'''<br>
 
'''Relevant questions:'''<br>
 
* How well can you predict the number of earthquakes immediately after an event versus at some time after an event?
 
* How well can you predict the number of earthquakes immediately after an event versus at some time after an event?
 
* When do forecasts start becoming useful after a large earthquake?
 
* When do forecasts start becoming useful after a large earthquake?
 +
* ETAS without parameter updating versus RJ with updating versus FastETAS.
 +
*

Revision as of 19:56, 15 May 2019

CSEP Working Group Home Page

Participants: Andy Michael, Max Werner, David Rhoades, Giuseppe, Phil Maechling and William Savran Italian OEF

  • Operational, but only available to civil protection.
  • Working on publicly available system, but needs work with different levels of society.

Overlapping Windows

  • Using simulation-based tests the correlations are preserved so can compute cumulative statistics.
  • Testing all of the windows at once.
  • Simulated likelihood distribution based on set of parameters within each forecast window.
  • Compute likelihoods within each simulated distribution.
  • Aggregate log-likelihoods from likelihood distribution.
  • Worth investigating meteorology literature for their solutions.
  • Separating testing windows useful for understanding model performance but not required mathematically.
  • Marzocchi et al., 2019 applied method to estimate model performance after some period using power-law model.
  • Usage must be considered to guide evaluations.
  • For example, multiple time-windows from same start time assume that decision maker needs to make a decision now.

CSEP Workshop Funded!!


Relevant questions:

  • How well can you predict the number of earthquakes immediately after an event versus at some time after an event?
  • When do forecasts start becoming useful after a large earthquake?
  • ETAS without parameter updating versus RJ with updating versus FastETAS.