Difference between revisions of "Staff Priorities - Masha"
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=== Yesterday === | === Yesterday === | ||
* CSEP: | * CSEP: | ||
− | ** | + | ** Reprocessed missing Md2 CA forecasts on csep-op |
+ | ** Processing for Global and WesternPacific regions caught up, posted forecasts and results as requested by Alvaro | ||
** Peter Bird's SHIFT_GSRM2f model for Global region: | ** Peter Bird's SHIFT_GSRM2f model for Global region: | ||
*** Compiled and generated example forecast | *** Compiled and generated example forecast | ||
− | *** | + | *** Peter updated the code to remove user interactions from the model |
+ | *** Re-compiled the code, re-generated forecast OK | ||
+ | *** Peter approved to use example forecast for acceptance test | ||
** csep-cert: | ** csep-cert: | ||
*** Compiled all models dependent on Intel compiler with ifort version 13, some of Alvaro Gonzalez's models failed acceptance tests for all testing regions | *** Compiled all models dependent on Intel compiler with ifort version 13, some of Alvaro Gonzalez's models failed acceptance tests for all testing regions | ||
− | *** | + | *** Alvaro asked to compile forecasts with different options of ifort 13, getting the same differences |
** Created virtual environment on my laptop with Python 3 (pyvenv module) installation and dependent packages used by the CSEP | ** Created virtual environment on my laptop with Python 3 (pyvenv module) installation and dependent packages used by the CSEP | ||
− | ** John created VM image with new OS, latest packages with Python 3, | + | ** John created VM image with new OS, latest packages with Python 3 and all dependent packages |
+ | ** Updated https://northridge.usc.edu/trac/csep/wiki/ForecastsClasses with models and tests information per Max's request | ||
+ | ** Re-ran N and L tests for HDF5 format of high-resolution Global forecast with masking bit disabled, sent results to Max (not much gain in runtime) | ||
=== Today === | === Today === | ||
* CSEP: | * CSEP: | ||
− | ** | + | ** csep-cert: set up new forecast group with SHIFT_GSRM2f model for high-resolution Global region |
− | + | ** Work on migration to upgraded OS and Python 3 | |
− | ** | ||
− | |||
− | |||
'''Blocked''': None | '''Blocked''': None |
Revision as of 17:12, 8 June 2015
Current Activities
Yesterday
- CSEP:
- Reprocessed missing Md2 CA forecasts on csep-op
- Processing for Global and WesternPacific regions caught up, posted forecasts and results as requested by Alvaro
- Peter Bird's SHIFT_GSRM2f model for Global region:
- Compiled and generated example forecast
- Peter updated the code to remove user interactions from the model
- Re-compiled the code, re-generated forecast OK
- Peter approved to use example forecast for acceptance test
- csep-cert:
- Compiled all models dependent on Intel compiler with ifort version 13, some of Alvaro Gonzalez's models failed acceptance tests for all testing regions
- Alvaro asked to compile forecasts with different options of ifort 13, getting the same differences
- Created virtual environment on my laptop with Python 3 (pyvenv module) installation and dependent packages used by the CSEP
- John created VM image with new OS, latest packages with Python 3 and all dependent packages
- Updated https://northridge.usc.edu/trac/csep/wiki/ForecastsClasses with models and tests information per Max's request
- Re-ran N and L tests for HDF5 format of high-resolution Global forecast with masking bit disabled, sent results to Max (not much gain in runtime)
Today
- CSEP:
- csep-cert: set up new forecast group with SHIFT_GSRM2f model for high-resolution Global region
- Work on migration to upgraded OS and Python 3
Blocked: None
Followups: None
TODO
- Trac ticket #346: Evaluate Oceanic Transform Faults forecasts since 2012/01/01