served from 129.236.110.25
mean mean mean ∂S [ OLE2 CPT ESCENARIO2 SPEARMANTMIN ] : ∂S Spearman Temperatura Mínima data
mean mean mean ∂S [ OLE2 CPT ESCENARIO2 SPEARMANTMIN ] . isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 12 year-1
- history
- mean mean $partialdiff sub S$ [ OLE2 CPT ESCENARIO2 SPEARMANTMIN ]
- Averaged over Y[63S, 33N] minimum 0.0% data present
Averaged over S[Jan 2000, Nov 2025] minimum 0.0% data present
mean mean mean $partialdiff sub S$ [ OLE2 CPT ESCENARIO2 SPEARMANTMIN ]- Averaged over X[118W, 28W] minimum 0.0% data present
- Averaged over Y[63S, 33N] minimum 0.0% data present
Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT
Data Views
 grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid |
| grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid |
| grid: /S (months since 1960-01-01) ordered (Jan 2000) to (Nov 2025) by 1.0 N= 311 pts :grid |
 mean mean mean $partialdiff sub S$ [ OLE2 CPT ESCENARIO2 SPEARMANTMIN ] [ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units