Data files for some examples
Example pages containing:
NAVO Multi-Channel Sea Surface Temperature (MCSST) data is in byte
format. See the examples below for information on how to use
NCL to read and plot this data.
: The NCL built-in
can be used to read NAVO
MCSST data. It's a simple process to expand this to float data and
apply the constants that transform the data into actual SST's.
sst = new((/1024,2048/),"float")
sst = bytedata*xslope+yint: will convert the byte data to a float and
calculate the true SST values.
See script for how lat/lon coordinate variables are created.
: Same script as example
1. Just demonstrates the non-interpolated data. I found that in areas
with sparse data (e.g. the Caribbean), the interpolated values were
greatly different from the observed values. If you plan to use this
data for feature identification, verify your results with the observed
: Demonstrates zooming in
on a subregion. We can turn off raster mode now, since the area is
For greater detail, we have changed to a higher resolution coastline
mpDataBaseVersion = "MediumRes".
When you plot a sub region, you need to turn off the cyclic point which
is automatically added to each plot. This is done by setting:
gsnAddCyclic = False
To zoom in on a region, you need to set the following resources:
: Used a Fortran shared
to create a
composite image of a day and night pass. Because of the grid, a
double loop of this size is extremely slow in an interpreted
computer language like NCL. (IDL and MatLab would have similar
issues). The external routine is simplistic, but significantly
increases speed. You will want to use WRAPIT
to compile the