At this point, I would like to pose a more general question: does identification of a standard_name provide any benefit to either model or user when the contents are non-standardized strings? This seems somewhat different from the CF variables that are numerical with standardized units, allowing a model (or user) to confidently interpret them from CF-standard attributes alone.
To look at this another way, would it be better to have more than one cloud_mask_* standard name, each one linked to a specific semantic "scale"? For instance, one scale might be based on cloud fraction, another on cloud determination confidence. On Sep 28, 2012, at 9:01 AM, Martin Raspaud wrote: > Hi all, > > While working with cloud products extracted from weather satellite data, > we would like to add the following standard names. Tell us what you think! > > Best regards, > Martin > > "cloud_mask" > Description: A variable with the standard name of cloud_mask contains > strings which indicate whether it is cloudy or not, also classes like > partly_cloudy is allowed. These strings have not been standardised. > Alternatively, the data variable may contain integers which can be > translated to strings using flag_values and flag_meanings attributes. > Units: 1 > > > "aerosol_mask" > Description: A variable with the standard name of aerosol_mask contains > strings which indicate whether there are aerosols present or not. These > strings have not been standardised. Alternatively, the data variable may > contain integers which can be translated to strings using flag_values > and flag_meanings attributes. > Units: 1 > > > "cloud_type" > Description: A variable with the standard name of cloud_type contains > strings which indicate the type of cloud e.g. low_level_cloud or > thin_cirrus. These strings have not been standardised. Alternatively, > the data variable may contain integers which can be translated to > strings using flag_values and flag_meanings attributes. > Units: 1 > > "probability_of_precipitation_in_an_intensity_interval" > Description: "probability_of_X" means the chance that X is true or of at > least one occurrence of X. > For probability_of_precipitation_in_an_intensity_interval, this means > the chance (in percent) that the precipitation intensity is in the > defined interval. The interval (from x mm/h to y mm/h) should be > described in attribute description. Usually two or more variables of > this type are combined, for adjacent intervals. > Units: 1 > <martin_raspaud.vcf>_______________________________________________ > CF-metadata mailing list > [email protected] > http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata -- Dr. Christopher Lynnes NASA/GSFC, Code 610.2 phone: 301-614-5185 _______________________________________________ CF-metadata mailing list [email protected] http://mailman.cgd.ucar.edu/mailman/listinfo/cf-metadata
