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