served from IRI/LDEO Climate Data Library
∫dY [ Models NMME CPC-CMAP-URD 1x1_7921 prate ]: Total Precipitation (CMAP(ocean) + CPC-URD(land)) data
∫dY Total Precipitation (CMAP(ocean) + CPC-URD(land)) : Monthly global gridded precipitation totals.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1979) to (Jul 2021) by 1.0 N= 511 pts :grid
- longitude
- grid: /X (degree_east) ordered (0) to (1W) by 1.0 N= 360 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (90.5S) to (90.5N) by 1.0 N= 182 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.96920997E36
- missing_value
- NaN
- standard_name
- lwe_precipitation_rate
- units
- 0.00020943951023932 meter radian north year-1
- history
- precip
- X regridded on precip
Y regridded on precip
- X regridded on precip
References
Kirtman_etal2014Last updated: Wed, 17 Jan 2024 16:02:09 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ [ Models NMME CPC-CMAP-URD 1x1_7921 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