served from 129.236.110.25
∫dY mean [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] : 2AFC Rayos data
∫dY mean [ CMC CATATUMBO BIMESTRE CFSv2-CAPE LISOTD-0p5 2AFC ] .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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (25N) to (3N) by 0.5 N= 45 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
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- Averaged over X[95W, 57W] 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 | |
 grid: /X (degree_east) ordered (94.75W) to (57.25W) by 0.5 N= 76 pts :grid | ||
| 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 | O=0.5 | |
 $integral dY$ mean [ 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