served from 129.236.110.25
∂Y ∫dS root mean sq ∫dX [ OLE2 CPT ESCENARIO2 SPEARMAN ] : ∂Y Spearman Precipitación data
∂Y ∫dS root mean sq ∫dX [ OLE2 CPT ESCENARIO2 SPEARMAN ] .Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 16 Dec 1999) to (0000 16 Mar 2025) by 1.0 N= 304 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (32.5N) to (62.5S) by 0.5 N= 191 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.0833333333333334 year
- history
- Averaged over X[118W, 28W] minimum 0.0% data present
Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours| S | Y | |
 $partialdiff sub Y$ $integral dS$ root mean sq $integral dX$ [ OLE2 CPT ESCENARIO2 SPEARMAN ] [ Y | S] | M | M |
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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