data: $integral dL$ [ MGAP CPT CFSv2_AtlPac

served from dlibrary.snia.gub.uy

∫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
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered [ (Sep 2014)] :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

CE: null
colorscalename: precip_colors
CS: null
datatype: realarraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: 9.64506172839506×10^-10 meter second^-1 year
history: 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

Last updated: Thu, 04 Feb 2016 15:18:08 GMT

Data Views

	L	S	X	Y
$integral dL$ [ MGAP CPT CFSv2_AtlPac_sst Forecast ] Sep 2014[ X Y \| S L]	M	M	M	M

Filters

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.
Integrate along X Y L
Differentiate along X Y L
Take differences along X Y L