There's no need to employ the old "use climatological_axes;can data climatological_axes" work around. Those axes are automatically loaded nowadays. They have been for quite a while (says Russ with his copy of the V3.1 user manual sitting within an arms length).
Since it looks like you have more than 1 year of data, you can get ferret to do the monthly averaging for you, using the original data directly:
set dat climatological_axes; can dat climatological_axes
let mydata_cl = mydata[gt=month_irreg@mod]
shade mydata_cl
This is especially useful if your data time axis is irregular, or extends over partial years. In those cases, the average of mydata_cl:
mydata_cl[l=@ave]
is a better estimate of the mean than the simple mean:
mydata[l=@ave]
! this avoids weighting parts of the year with more observation.
@mod makes the axis extend indefinitely, thus allowing plotting the climatology over the original data:
plot mydata ! more than 1 year, possibly irregular
plot/over mydata_cl
Or finding anomalies:
let mydata_cl2 = mydata_cl[gt=mydata] ! put the climatology onto the original time axis
let mydata_anom = mydata - mydata_cl2
Billy K
Sent from my phone .... Please excuse my brevity .... and my typing.
Hi,
You'll need to put your variable onto a climatological time axis.
Rather than
shade anom
try
let myanom=anom[gt=MONTH_REG@asn]
!or any of the axes that show up with sho axis/all
shade myanom
Russ
Hi there,
I'm generating maps for zonal anomalies [of wetland methane emissions] over 12 months (see attached image) and I'd like to replace numerical labels for the x-axis (ie. 1, 3, ..., 11) by Jan, Mar, ..., Nov.
Can someone please suggest how to achieve that?
FYI, I'm using FERRET v7.1 (optimized).
Thanks in advance,
CM