served from IRI/LDEO Climate Data Library
∂X [ Models NMME CPC-CMAP-URD prate ]: ∂X Total Precipitation (CMAP(ocean) + CPC-URD(land)) data
∂X ∂X Total Precipitation (CMAP(ocean) + CPC-URD(land)) : Monthly CMAP precipitation over the ocean and CPC Uniified Raingauge Database over land.Independent Variables (Grids)
- time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1982) to (Dec 2014) by 1.0 N= 396 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5W) to (1.5W) by 1.0 N= 360 pts :grid
- latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- standard_name
- lwe_precipitation_rate
- units
- 0.687549354156988 meter radian-1 east year-1
References
Kirtman_etal2014Last updated: Tue, 06 Sep 2022 14:02:18 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub X$ [ Models NMME CPC-CMAP-URD prate ][ 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