served from 129.236.110.25
mean ∂lon ∂lat max [ ( UY prec ) , max ( UY prec ) ] : ∂lon ∂lat Precipitacion, Precipitacion data
mean ∂lon ∂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
- lon
- grid: /lon (degree_east) ordered (58.85526W) to (53.64474W) by 0.2894737 N= 19 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- fnname
- max
- missing_value
- NaN
- units
- 39.3936762001409 meter radian-2 north year-1
- history
- mean $partialdiff sub lon$ $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ]
- max over lon[59W, 53.5W] lat[29.5S, 36S]
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
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| lat | lon | |
 mean $partialdiff sub lon$ $partialdiff sub lat$ max [ ( UY prec ) , max ( UY prec ) ] [ | lon lat] | 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 lon lat
- Differentiate along lon lat
- Take differences along lon lat
RMS (root mean square with mean *not* removed) over lon lat | lon lat |
RMSA (root mean square with mean removed) over lon lat | lon lat |
Maximum over lon lat | lon lat |
Minimum over lon lat | lon lat |
Detrend (best-fit-line) over lon lat | lon lat |
Note on units