CSEP Minutes 05-15-2019: Difference between revisions

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'''[[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.