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root mean sq anom ∂time root mean sq anom max [ ( UY prec ) , max ( UY prec ) ] : ∂time Precipitacion, Precipitacion data
root mean sq anom ∂time root mean sq anom max [ ( UY prec ) , max ( UY prec ) ] .Independent Variables (Grids)
- 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
- 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
- $partialdiff sub time$ root mean sq anom max [ ( UY prec ) , max ( UY prec ) ] 36S
- max over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over lon[59W, 53.5W] minimum 0.0% data present
root mean sq anom $partialdiff sub time$ root mean sq anom max [ ( UY prec ) , max ( UY prec ) ]- Averaged over lat[29.5S, 36S] 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
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color bars
scatter| time | |
 root mean sq anom $partialdiff sub time$ root mean sq anom max [ ( UY prec ) , max ( UY prec ) ] [ time |] | 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 time
- Differentiate along time
- Take differences along time
RMS (root mean square with mean *not* removed) over time |
RMSA (root mean square with mean removed) over time |
Maximum over time |
Minimum over time |
Detrend (best-fit-line) over time |
Note on units