served from IRI/LDEO Climate Data Library
∫dT ∂Y [ UEA CRU Global prcp ] : ∂Y Precipitation data
prcp partial_Y ∂Y Precipitation from UEA CRU Global: Historical monthly precipitation dataset for global land areas.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1900) to (0000 1 Jan 1997) by 1.0 N= 1165 pts :grid
- longitude
- grid: /X (degree_east) periodic (180W) to (176.25E) by 3.75 N= 96 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (86.25S) to (86.25N) by 2.5 N= 70 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- CRU Gridded Global Precip Dataset 3.75x2.5
References
Hulme1992Hulme1994
Last updated: Mon, 12 Sep 2016 21:11:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ $partialdiff sub Y$ [ UEA CRU Global prcp ] [ 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