served from 129.236.110.25
CMC CATATUMBO BIMESTRE CCA_INDEX CCA: CCA-INDEX data
CMC CATATUMBO BIMESTRE CCA_INDEX CCA.Independent Variables (Grids)
- Predictor
- grid: /ESTID (ids) unordered [ (vCAPE)] :grid
- micol
- grid: /micol (unitless) ordered [ (1.0)] :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1996) to (0000 1 Nov 1996) by 2.0 N= 6 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 1
- colorscalename
- correlationcolorscale
- CS
- 0
- datatype
- doublearraytype
- maxncolor
- 254
- pointwidth
- 0
- scale_max
- 1.0
- scale_min
- 0.0
- units
- unitless
- colorscale
Last updated: Sat, 20 May 2017 00:30:16 GMT
Expires: Mon, 05 Jun 2017 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| ESTID | micol | S | |
 CMC CATATUMBO BIMESTRE CCA_INDEX CCA 1.0 vCAPE[ micol ESTID | S] | 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 S
- Differentiate along S
- Take differences along S
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units