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∫dS root mean sq anom ∫dS [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] : 2AFC Rayos data
∫dS root mean sq anom ∫dS [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] .Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2012) to (0000 1 Jan 2014) by 1.0 N= 14 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
- 0.00694444444444444 year2
- history
- Averaged over X[94.75W, 57.25W] 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
Views
data as colors
data as contours
line plots
color bars| S | Y | |
 $integral dS$ root mean sq anom $integral dS$ [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] [ Y | S] | 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 Y S
- Differentiate along Y S
- Take differences along Y S
RMS (root mean square with mean *not* removed) over Y S | Y S |
RMSA (root mean square with mean removed) over Y S | Y S |
Maximum over Y S | Y S |
Minimum over Y S | Y S |
Detrend (best-fit-line) over Y S | Y S |
Note on units