served from 129.236.110.25
∂time min [ mean ( UY precipitacion ) , min ( UY prec ) ] : ∂time Precipitacion, Precipitacion data
∂time min [ mean ( UY precipitacion ) , min ( UY prec ) ] .Independent Variables (Grids)
- lon
- grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid
- time
- grid: /time (months since 1960-01-01) ordered (16 Jan 1925 - 15 Feb 1925) to (16 Nov 2009 - 15 Dec 2009) by 1.0 N= 1019 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- fnname
- min
- missing_value
- NaN
- units
- 0.144 meter year-2
- history
- mean [ UY precipitacion ]
Averaged over time[Jan 1925, Dec 2009] lat[36.1413S, 29.3587S] minimum 0.0% data present
- min [ UY prec ]
min over lat[29.5S, 36S]
- mean [ UY precipitacion ]
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
data as colors
data as contours| lon | time | |
 $partialdiff sub time$ min [ mean ( UY precipitacion ) , min ( UY prec ) ] [ lon | time] | 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 lon time
- Differentiate along lon time
- Take differences along lon time
RMS (root mean square with mean *not* removed) over lon time | lon time |
RMSA (root mean square with mean removed) over lon time | lon time |
Maximum over lon time | lon time |
Minimum over lon time | lon time |
Detrend (best-fit-line) over lon time | lon time |
Note on units