mean ∫dL [ MGAP CPT CFSv2_AtlPac_sst Forecast ] : current forecast data
MGAP CPT CFSv2_AtlPac_sst Forecast int_dL current forecast from SOURCES: datos de MGAP SNIA prueba.
Independent Variables (Grids)
L
grid: /L (months) ordered (2.0 months) to (5.0 months) by 1.0 N= 4 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
colorscalename
precip_colors
CS
null
datatype
doublearraytype
file_missing_value
-999.0
maxncolor
254
missing_value
NaN
pointwidth
0
units
9.64506172839506×10-10 meter second-1 year
history
mean $integral dL$ [ MGAP CPT CFSv2_AtlPac_sst Forecast ]
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 Averaged over S[0000 1 Sep 2014, 0000 1 Oct 2014] minimum 0.0% data present
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.