served from dlibrary.snia.gub.uy
∂Y ∂Y [ IRI Rachas realtime ] : ∂Y ∂Y Tiempo Real data
IRI Rachas realtime realtime partial_Y ∂Y ∂Y Tiempo Real from SOURCES: datos de MGAP SNIA prueba.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01 00:00:00) ordered (1 Jan 2006) to (1 Sep 2025) by 1.0 N= 7184 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (59.25W) to (53.25W) by 0.5 N= 13 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (35.75S) to (29.75S) by 0.5 N= 13 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- standard_name
- lwe_precipitation_rate
- units
- 3.79954438658767×10-05 meter radian-2 north second-1
Last updated: Thu, 04 Sep 2025 02:00:03 GMT
Expires: Thu, 04 Sep 2025 17:20:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ $partialdiff sub Y$ [ IRI Rachas realtime ] [ X Y | T] | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units