served from 129.236.110.25
∂S root mean sq [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 ABOVE ] : ∂S ROC ( Sobre ) - Rayos data
∂S root mean sq [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 ABOVE ] .Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Jan 2013) to (Nov 2013) by 1.0 N= 11 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (24.875N) to (3.125N) by 0.25 N= 88 pts :grid
Other Info
- CE
- null
- colorscalename
- correlationcolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 12 year-1
- history
- Averaged over X[95W, 57W] minimum 0.0% data present
Last updated: Fri, 09 Jun 2017 14:21:10 GMT
Expires: Wed, 05 Jul 2017 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| S | Y | |
 $partialdiff sub S$ root mean sq [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p25 ABOVE ] [ 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