Dear OpenDX users,
does anybody have a good suggestion for the following task:
The data to visualize are 'Lagrangian', i.e., the form is
value(x(t),y(t),z(t),t)
whereby
value(t)
is in one netCDF file and
x(t), y(t), z(t)
are in the second netCDF file
(t is time, x,y,z are spatial coordinates).
To import and combine these data into a series object with
'positions' x(t), y(t), z(t), and 'data' value(t) is no problem!
However, we would like to visualize a spatial
subset of these data (positions=x,y,z,data=value, time-series) for the
complete time series (e.g., as 2D plot with value(t), i.e., with the time as
axis).
Since both, the number of points (x(t),y(t),z(t)) and the length of the time
series are very large, it is not possible to import the complete series in
one step and then 'slice' or 'slab' a subset x,y,z!
Is there an efficient way to import a spatial subset of the data, rather than
one time step of the series (which is straightforward with 'import'), or to
create a respective object ?
Any comments are very much appreciated!
With kind regards ...
Patrick Jöckel
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Dr. Patrick Joeckel
Max Planck Institute for Chemistry
Joh.-J. Becher Weg 27
55128 Mainz phone:++49-6131-305452
Germany fax :++49-6131-305436
e-mail:[EMAIL PROTECTED]
http://www.mpch-mainz.mpg.de/~joeckel
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Never trust an operating system you don't have sources for.
