Staff Priorities - Masha: Difference between revisions
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=== Yesterday === | === Yesterday === | ||
* Posted | * Posted CSEP meeting minutes | ||
* Explored 'pandas' data analysis Python package for optimized file IO functionality: problems reading forecast from gzip archive, but 10x faster to read forecast from ASCII format file. Send recommendations on how to use to Max - he is working on Bayesian ensemble modeling for CA 1-day forecast | |||
* Re-run test case using best available catalog for Canterbury experiment with zero days of delay for providing slip models to the forecasts: | * Re-run test case using best available catalog for Canterbury experiment with zero days of delay for providing slip models to the forecasts: | ||
** | ** T and W evaluation for one-year forecasts with start date reset | ||
** Posted one-year evaluation results for Max | |||
** Generating one-month and one-day forecasts | ** Generating one-month and one-day forecasts | ||
* CSEP V15.10.0 release candidate: | * CSEP V15.10.0 release candidate: | ||
** Tested | ** Tested NZ image successfully | ||
=== Today === | === Today === | ||
* Re-run test case using best available catalog for Canterbury experiment using zero days delay for providing slip models to the forecasts: | * Re-run test case using best available catalog for Canterbury experiment using zero days delay for providing slip models to the forecasts: | ||
** | ** Generating one-month and one-day forecasts | ||
* | * Tag official CSEP V15.10.0 release, build RPMs for Monday installation | ||
* | * Investigate 'pandas' data analysis Python package for reading forecast from gzip archive file without extracting data first | ||
'''Blocked''': No | '''Blocked''': No | ||
Revision as of 18:25, 9 October 2015
Current Activities
Yesterday
- Posted CSEP meeting minutes
- Explored 'pandas' data analysis Python package for optimized file IO functionality: problems reading forecast from gzip archive, but 10x faster to read forecast from ASCII format file. Send recommendations on how to use to Max - he is working on Bayesian ensemble modeling for CA 1-day forecast
- Re-run test case using best available catalog for Canterbury experiment with zero days of delay for providing slip models to the forecasts:
- T and W evaluation for one-year forecasts with start date reset
- Posted one-year evaluation results for Max
- Generating one-month and one-day forecasts
- CSEP V15.10.0 release candidate:
- Tested NZ image successfully
Today
- Re-run test case using best available catalog for Canterbury experiment using zero days delay for providing slip models to the forecasts:
- Generating one-month and one-day forecasts
- Tag official CSEP V15.10.0 release, build RPMs for Monday installation
- Investigate 'pandas' data analysis Python package for reading forecast from gzip archive file without extracting data first
Blocked: No
Followups:
- With John Y.:
- csep-op: Added my email to recipients list for Oceanic Transform Faults status email, got email sent to my account, but not to the mailing list.
TODO
- Trac ticket #353: Optimize RELM N-test by avoiding event to bin look up when masking bit is set for the whole forecast
