served from 129.236.110.25
∂lon root mean sq anom min [ ( UY prec ) , min ( UY prec ) ] : ∂lon Precipitacion, Precipitacion data
∂lon root mean sq anom min [ ( UY prec ) , min ( UY prec ) ] .Independent Variables (Grids)
- lat
- grid: /lat (degree_north) ordered (29.5S) to (36S) by 0.2826087 N= 24 pts :grid
- lon
- grid: /lon (degree_east) ordered (58.85526W) to (53.64474W) by 0.2894737 N= 19 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- fnname
- min
- missing_value
- NaN
- units
- 0.687549354156988 meter radian-1 east year-1
- history
- $partialdiff sub lon$ root mean sq anom min [ ( UY prec ) , min ( UY prec ) ]
- min over lon[59W, 53.5W] lat[29.5S, 36S]
Averaged over time[Jan 1925, Dec 2009] minimum 0.0% data present
- min 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 | |
 UY[precipitacion
prec
] | ||
 $partialdiff sub lon$ root mean sq anom min [ ( UY prec ) , min ( 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