Minutes from 28 July 2009
2009/07/28 CSEP Meeting
Attendees: Yan K., Jeremy Z., John Y., Masha L.
- csep-op:
- V9.7.0 release:
- Re-processing of California's one-day and RELM forecasts groups due to the ANSS catalog fixes
- NFS server crashed on July 26, 2009
- John suggested to switch NFS server - may be at the same time with next V9.10 release
- New forecasts groups:
- California's three-months-alarm-models-V9.7 with EAST model from Peter Shebalin
- Global one-day-models-V9.7 with Kagan-Jackson one-day model using CMT catalog
- Re-processing of California's one-day and RELM forecasts groups due to the ANSS catalog fixes
- V9.7.0 release:
- Software development:
- Re-implementation of Matlab evaluation tests in Python
- Masha discovered that SciPy can load and write Matlab format files
- Masha will concentrate on re-writing of evaluation tests first (Matlab wrappers for each test will call Python code)
- Forecast preparation routines and storing of results in XML format will be also re-written in Python
- Trac ticket #140 for scalar moment magnitude precision in one-line-per-event formatting of CMT catalog is fixed:
- Triple_S (Jeremy's models) and DBM (Anna Maria's models) for Western Pacific and Global testing regions are not affected
- Yan's models that use CMT catalog will need to be re-generated
- Yan would not insist on re-processing but would prefer to have complete CMT information passed to the model
- Masha filed a Trac ticket #165
- Re-implementation of Matlab evaluation tests in Python
- mini_CSEP distribution
- Jeremy circulated an initial list of requirments within CSEP development team:
- * convert a ForecastML forecast to MATLAB format
* convert a MATLAB forecast to ForecastML format
* generate a plot of the spatial distribution of the forecast (i.e.,
map-view of the forecast)
* generate a plot of the magnitude distribution of the forecast (i.e.,
magnitude versus normalized probability--I have attached an example )
* execute an L-test (including appropriate plot)
* execute an M-test (including appropriate plot)
* execute an N-test (including appropriate plot)
* execute an R-test (including appropriate plot)
* execute an S-test (including appropriate plot)
- * convert a ForecastML forecast to MATLAB format
- We should provide list of external package dependencies and links to these package
- May have an intermediate release when distribution is ready
- Jeremy circulated an initial list of requirments within CSEP development team:
- Jeremy sent out an updated version of the manuscript for ACES publication to the group
- CSEP paper for EScience Conference
- No updates
- Hardware:
- csep-cert
- CSEPWebTest.py is not part of nightly build - some issues connecting to the web server
- John will look at the problem
- CSEPWebTest.py is not part of nightly build - some issues connecting to the web server
- csep-cert