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==========to download this package and test run it as follows======== |
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setenv CVSROOT ':pserver:cvsanon@mitgcm.org:/u/gcmpack' |
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cvs login |
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( enter the CVS password: "cvsanon" ) |
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cvs co -d profilesMatlabProcessing MITgcm_contrib/gael/profilesMatlabProcessing |
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cd profilesMatlabProcessing |
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matlab -nojvm |
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( type profiles_process_init) |
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=======then you can process your own data as follow (see <= signs)=== |
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profiles_prep_select.m |
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- Encapsulate the data set information in the 'dataset' structure |
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- Directories, included variables, etc. are specified here. |
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=> You append specs for your data set here. Included examples: argo and wod05. |
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profiles_prep_load_fields.m |
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- Load T-S atlases and variance atlas that will be used to detect |
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outliers and to attribute least-squares weights (for ECCO purpose) |
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=> You need to get gcmfaces package and binary files for this part. |
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profiles_read_wod05.m/profiles_read_argo.m |
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- Encapsulate the that loads the data set in memory. |
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- The data set file format specifics are handled here. |
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- The calling sequence must be [varargout]=profile_read_wod05(dataset,nf,m); |
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where 'dataset' is the aformentioned structure, nf is the current file |
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index (relative to dataset.fileInList). If m is set to 0, then varargout |
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must be the number of profiles/stations. If m is a profile index, then varargout |
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must be the profileCur structure that contains the current profile/station. |
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=> You need to make one of those routines for your data set. The two |
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profiles_read_wod05.m/profiles_read_argo.m provide you the blueprint. |
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profiles_prep_convert.m |
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- does conversions of pressure->depth, and insituT->potT, if needed. |
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- profiles_prep_select.m specifies needed conversions in 'dataset'. |
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- also switch [0 360] lon -> [-180 +180] lon, if needed. |
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profiles_prep_locate.m |
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- get the grid point index of the profiles (on the atlases grid). |
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<= I need to upload gcmfaces_bindata |
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profiles_prep_interp.m |
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- interpolate to standard depth levels, as spec. in profiles_prep_select.m. |
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profiles_prep_weights.m |
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- compute instrumental + representation error profile. |
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- instrumental error estimates (when available) are |
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specified at read time (see profiles_read_argo.m). |
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profiles_prep_tests.m |
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- quality control/outlier detection. |
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profiles_prep_write_nc.m |
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store/write results to temporary .mat files, then final .nc file. |
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