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root mean sq ∂depto_sec [ INIA GRAS PAD_Anomalia Anomalia ] : ∂depto_sec Anomalia de PAD - Referencia 2005-2017 data
Anomalia partial_depto_sec ∂depto_sec Anomalia de PAD - Referencia 2005-2017 from INIA GRAS PAD_Anomalia: Anomalia.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 2005) to (Apr 2026) by 1.0 N= 256 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- percent /ids
- history
- root mean sq $partialdiff sub depto_sec$ [ INIA GRAS PAD_Anomalia Anomalia ]
- Averaged over T2[2005, 2017] minimum 0.0% data present
Averaged over depto_sec[, ] minimum 0.0% data present
- Averaged over T2[2005, 2017] minimum 0.0% data present
Last updated: Mon, 04 May 2026 16:00:01 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 doc[] | |
| INIA GRAS PAD_Anomalia[Anomalia
] | |
| grid: /depto_sec (ids) unordered [ (0101) (0102) (0103) ... (1911)] N= 276 pts :grid | |
| grid: /T (months since 1960-01-01) ordered (Jan 2005) to (Apr 2026) by 1.0 N= 256 pts :grid | M |
 root mean sq $partialdiff sub depto_sec$ [ INIA GRAS PAD_Anomalia Anomalia ] [ | T] | 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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units