max ∫dS [ MGAP CPT CFSv2_AtlPac_sst PredErrorVars ] : prediction error variance data
MGAP CPT CFSv2_AtlPac_sst PredErrorVars int_dS prediction error variance from SOURCES: datos de MGAP SNIA prueba.
Independent Variables (Grids)
S (forecast_reference_time)
grid: /S (months since 1960-01-01) ordered (0000 16 Aug 2014) to (0000 16 Oct 2014) by 1.0 N= 3 pts :grid
Longitude (longitude)
grid: /X (degree_east) ordered (59.5W) to (52.5W) by 1.0 N= 8 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (35.5S) to (29.5S) by 1.0 N= 7 pts :grid
Other Info
bufferwordsize
8
CE
null
CS
null
datatype
doublearraytype
file_missing_value
-999.0
missing_value
NaN
pointwidth
0
units
9.64506172839506×10-10 meter second-1 year
history
max $integral dS$ [ MGAP CPT CFSv2_AtlPac_sst PredErrorVars ]
Output from CPT for 12 3-month running seasons for 1960-2009 between ECHAM4p5 GCM and CRU dataset, CPT recompiled on Mac 9.04 version max over L[2.5 months, 4.5 months]
Here are some filters that are useful for manipulating data. There
are actually many more available, but they have to be entered
manually. See
Ingrid
Function Documentation for more information.
Monthly Climatology calculates
a monthly climatology by averaging over all years.
anomalies calculates the difference
between the (above) monthly climatology and the original data.