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min [ lat , min root mean sq anom ∂lat ( UY precipitacion ) ]: lat, ∂lat Precipitacion data
min [ lat , min root mean sq anom ∂lat ( UY precipitacion ) ].Independent Variables (Grids)
- lat
- grid: /lat (degree_north) ordered (29.6413S) to (35.8587S) by 0.2826087 N= 23 pts :grid
Other Info
- datatype
- realarraytype
- fnname
- min
- gridid
- 167018472
- missing_value
- NaN
- scale_max
- null
- scale_min
- null
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- min root mean sq anom $partialdiff sub lat$ [ UY precipitacion ]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
min over time[Jan 1925, Dec 2009]
- Averaged over lon[59W, 53.5W] minimum 0.0% data present
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
line plots
color bars
scatter| lat | |
 UY[precipitacion
prec
] | |
 min [ lat , min root mean sq anom $partialdiff sub lat$ ( UY precipitacion ) ][ | lat] | 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 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