served from dlibrary.snia.gub.uy
mean ∂T [ INIA GRAS PAD_Anomalia Anomalia ] anomalies: ∂T Anomalia de PAD - Referencia 2005-2017 data
Anomalia partial_T partial_T ∂T 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 (16 Jan 2005 - 15 Feb 2005) to (16 Mar 2026 - 15 Apr 2026) by 1.0 N= 255 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
- 0.12 year-1
- history
- mean $partialdiff sub T$ [ INIA GRAS PAD_Anomalia Anomalia ]
- Averaged over T2[2005, 2017] minimum 0.0% data present
Averaged over depto_sec[0101, 1911] minimum 0.0% data present
- Averaged over T2[2005, 2017] minimum 0.0% data present
- mean $partialdiff sub T$ [ INIA GRAS PAD_Anomalia Anomalia ] climatology
- mean $partialdiff sub T$ [ INIA GRAS PAD_Anomalia Anomalia ]
- Averaged over T2[2005, 2017] minimum 0.0% data present
Averaged over depto_sec[0101, 1911] minimum 0.0% data present
Averaged over T2[16 Jan 2005 - 15 Jan 2006, 16 Jan 2025 - 15 Jan 2026] minimum 0.0% data present - Averaged over T2[2005, 2017] minimum 0.0% data present
- mean $partialdiff sub T$ [ INIA GRAS PAD_Anomalia Anomalia ]
- mean $partialdiff sub T$ [ INIA GRAS PAD_Anomalia Anomalia ]
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 | O=0.5 |
 mean $partialdiff sub T$ [ INIA GRAS PAD_Anomalia Anomalia ] anomalies[ | 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