data: root mean sq anom detrended-bfl [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ]

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root mean sq anom detrended-bfl [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] : 2AFC Rayos data

root mean sq anom detrended-bfl [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] .

Independent Variables (Grids)

Longitud (longitude): grid: /X (degree_east) ordered (94.75W) to (57.25W) by 0.5 N= 76 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (24.5N) to (3.5N) by 0.5 N= 43 pts :grid

Other Info

bufferwordsize: 8
CE: null
colorscalename: correlationcolorscale
CS: null
datatype: doublearraytype
file_missing_value: -999.0
maxncolor: 254
missing_value: NaN
pointwidth: 0
units: unitless
history: Averaged over S[0000 1 Jan 2013, 0000 1 Dec 2013] minimum 0.0% data present

Last updated: Fri, 03 Nov 2017 17:04:40 GMT
Expires: Tue, 05 Dec 2017 00:00:00 GMT

Data Views

	X	Y
grid: /X (degree_east) ordered (94.75W) to (57.25W) by 0.5 N= 76 pts :grid	M
grid: /Y (degree_north) ordered (24.75N) to (3.25N) by 0.5 N= 44 pts :grid		O=-0.25
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2013) to (0000 1 Dec 2013) by 1.0 N= 12 pts :grid
root mean sq anom detrended-bfl [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] [ X Y \|]	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
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units