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max [ lat , max ∂lat root mean sq anom ( UY precipitacion ) ]: lat, ∂lat Precipitacion data
max [ lat , max ∂lat root mean sq anom ( UY precipitacion ) ].Independent Variables (Grids)
- lat
- grid: /lat (degree_north) ordered (29.6413S) to (35.8587S) by 0.2826087 N= 23 pts :grid
- lon
- grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid
Other Info
- datatype
- realarraytype
- fnname
- max
- gridid
- 167023936
- missing_value
- NaN
- scale_max
- null
- scale_min
- null
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- max $partialdiff sub lat$ root mean sq anom [ UY precipitacion ]
- Averaged over time[Jan 1925, Dec 2009] minimum 0.0% data present
max over lat[29.6413S, 35.8587S]
- Averaged over time[Jan 1925, Dec 2009] minimum 0.0% data present
Last updated: Sun, 02 Jun 2024 17:51:42 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| lat | lon | |
 UY[precipitacion
prec
] | ||
| grid: /lon (degree_east) ordered (59W) to (53.5W) by 0.2894737 N= 20 pts :grid | M | |
|---|---|---|
 max [ lat , max $partialdiff sub lat$ root mean sq anom ( UY precipitacion ) ][ | lat lon] | M | 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 lon
- Differentiate along lat lon
- Take differences along lat lon
RMS (root mean square with mean *not* removed) over lat lon | lat lon |
RMSA (root mean square with mean removed) over lat lon | lat lon |
Maximum over lat lon | lat lon |
Minimum over lat lon | lat lon |
Detrend (best-fit-line) over lat lon | lat lon |
Note on units