Turning 3d array into climatology data

Hi there!

So I have monthly gridded datasets in lat/lon/time(monthly): Example:

>> whos KoppenD_airT
  Name                Size                     Bytes  Class     Attributes

    KoppenD_airT      360x720x361            374284800  single              

>> whos KoppenDsa_airT
  Name                  Size                     Bytes  Class     Attributes

    KoppenDsa_airT      360x720x361            374284800  single              

>> whos KoppenDsb_airT
  Name                  Size                     Bytes  Class     Attributes

    KoppenDsb_airT      360x720x361            374284800  single

I need to create climatologies of these regions so that I can plot monthly changes in temperature over my 30 year climate period. What is the best way to do this?

Thanks a bunch!

[Kate]

Here's one attempt I've made that isn't working:

idx=find(Dsa);

for ii=idx
    y=ind2sub(size(KoppenDsa_airT),ii);
    x=squeeze(KoppenDsa_airT(y,:));

end

I get:

Index exceeds matrix dimensions.

[reddy]

hello kate,

I am working on weekly,monthly and yearly climatology. Did your doubt clarified..??

I am also having similar doubt, if you could clarify my doubt, write it on the wall thanks in advance.

the wind data is weekly data from 1999 to 2009. now i would like to make monthly climatology and yearly climatology. how to do that...?

 z = ncread('uwind_weekly_quick.nc','U');

 whos z
  Name        Size                     Bytes  Class     Attributes

z         360x160x574            264499200  double