Hi,
I'm writing an application that reads data from NetCDF files and
produces images. I've noticed (through profiling) that a slow point
in the data reading process is the unpacking of packed data (i.e.
applying scale and offset) and checking for missing values. I would
like to minimize the use of these calls.
To cut a long post short, I would like to find a low-level function
that allows me to read the packed data, exactly as they appear in the
file. I can then "manually" apply the unpacking and missing-value
checks only to those data points that I need to display.
I'm using nj22, version 2.2.16. I've tried reading data from
GeoGrid.subset() but this (of course) performs the unpacking. I then
tried getting the "unenhanced" variable object through
GeoGrid.getVariable().getOriginalVariable(), but (unexpectedly) this
also seems to perform unpacking and missing-value checks - I expected
it to give raw data.
Can anyone help me to find a function for reading raw (packed) data
without performing missing-value checks?
Thanks in advance,
Jon
--
--------------------------------------------------------------
Dr Jon Blower Tel: +44 118 378 5213 (direct line)
Technical Director Tel: +44 118 378 8741 (ESSC)
Reading e-Science Centre Fax: +44 118 378 6413
ESSC Email: jdb@xxxxxxxxxxxxxxxxxxxx
University of Reading
3 Earley Gate
Reading RG6 6AL, UK
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