served from 129.236.110.25
root mean sq anom root mean sq anom ∂time max [ ( UY prec ) , max ( UY prec ) ] : ∂time Precipitacion, Precipitacion data
root mean sq anom root mean sq anom ∂time max [ ( UY prec ) , max ( UY prec ) ] .Independent Variables (Grids)
- lon
- grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- units
- 0.144 meter year-2
- history
- root mean sq anom $partialdiff sub time$ max [ ( UY prec ) , max ( UY prec ) ]
- max over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over lat[29.5S, 36S] minimum 0.0% data present
root mean sq anom root mean sq anom $partialdiff sub time$ max [ ( UY prec ) , max ( UY prec ) ]- Averaged over time[16 Jan 1925 - 15 Feb 1925, 16 Nov 2009 - 15 Dec 2009] minimum 0.0% data present
- max over lon[59W, 53.5W] lat[29.5S, 36S]
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
line plots
color bars
scatter| lon | |
 root mean sq anom root mean sq anom $partialdiff sub time$ max [ ( UY prec ) , max ( UY prec ) ] [ lon |] | 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
- Differentiate along lon
- Take differences along lon
RMS (root mean square with mean *not* removed) over lon |
RMSA (root mean square with mean removed) over lon |
Maximum over lon |
Minimum over lon |
Detrend (best-fit-line) over lon |
Note on units