Staff Priorities - Masha: Difference between revisions
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=== Yesterday === | === Yesterday === | ||
* | * Tagged official CSEP V15.10.0 release, built RPMs | ||
* | * '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. | ||
* 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: | ||
** Generating one-month and one-day forecasts | ** Generating one-month and one-day forecasts | ||
=== Today === | === Today === | ||
* Install and test CSEP V15.10.0 on csep-op | |||
* Read papers for the CSEP status meeting on Wednesday | |||
* 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 | ** Generating one-month and one-day forecasts | ||
* | * 'pandas' data analysis Python package for reading forecast from gzip archive file without extracting data first | ||
'''Blocked''': No | '''Blocked''': No | ||
Revision as of 17:09, 12 October 2015
Current Activities
Yesterday
- Tagged official CSEP V15.10.0 release, built RPMs
- '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.
- Re-run test case using best available catalog for Canterbury experiment with zero days of delay for providing slip models to the forecasts:
- Generating one-month and one-day forecasts
Today
- Install and test CSEP V15.10.0 on csep-op
- Read papers for the CSEP status meeting on Wednesday
- 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
- '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
