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root mean sq anom root mean sq anom ∂lat max [ ( UY prec ) , max ( UY prec ) ] : ∂lat Precipitacion, Precipitacion data
root mean sq anom root mean sq anom ∂lat max [ ( UY prec ) , max ( UY prec ) ] .Independent Variables (Grids)
- lat
- grid: /lat (degree_north) ordered (29.6413S) to (35.8587S) by 0.2826087 N= 23 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- units
- 0.687549354156988 meter radian-1 north year-1
- history
- root mean sq anom $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ]
- 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 root mean sq anom $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ]- Averaged over time[Jan 1925, 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
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color bars
scatter| lat | |
 root mean sq anom root mean sq anom $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ] [ | lat] | 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 lat
- Differentiate along lat
- Take differences along lat
RMS (root mean square with mean *not* removed) over lat |
RMSA (root mean square with mean removed) over lat |
Maximum over lat |
Minimum over lat |
Detrend (best-fit-line) over lat |
Note on units