Le 23 sept. 08 à 08:45, DELCLAUX Francois a écrit :
Hi Ferret users,
I have a montly time series over a several year period.
It's easy to compute a monthly climatology (12 values) using the time
axis "month_reg"
from the file "climatological_axes"
Now, I would like to calculate the corresponding standard deviation,
ie the 12 values
calculated from the january values, february values, etc.
What's the best way for such a calculation ?
Regards
François,
You may use the @MODVAR operator. Something like that :
DEFINE
AXIS/T="01-JAN-1840":"31-DEC-1840"/NPOINTS=12/CALENDAR=360_DAY/MODULO/EDGES/UNIT="Year"
mois_clim
DEFINE
AXIS/T="01-JAN-1840":"31-DEC-2409"/NPOINTS=6840/CALENDAR=360_DAY/MODULO/EDGES/UNIT="Year"
mois
LET/TITLE="Sea surface temperature"/UNITS="C" sst = sosstsst[GT=mois@ASN]
LET/TITLE="Sea surface temperature, Mean seasonal cycle"/UNITS="C"
sst_se = sst[GT=mois_clim@MOD]
LET/TITLE="Sea surface temperature, anomaly"/UNITS="C" sst_ano = sst -
sst_se
LET/TITLE="SST, interannual variance"/UNITS="C" sst_var =
sst[GT=mois_clim@MODVAR]^0.5
Regards,
Olivier