served from IRI/LDEO Climate Data Library
∂T [ CDIAC tr051 precipitation anomalies ]: ∂T data
precipitation anomalies ∂T from CDIAC tr051: Comprehensive preciptation anomaly data set for global land areas.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1851 - 15 Apr 1851) to (16 Jul 1989 - 15 Oct 1989) by 3.0 N= 555 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (5W) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (62S) to (86N) by 4.0 N= 38 pts :grid
Other Info
- file_missing_value
- -9999.9902
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
References
Eischeid, J.K., H.F. Diaz, R.S, Bradley, and P.D. Jones. 1991. A comprehensive precipitation data set for global land areas. DOE/ER-69017T-H1, TR051, United States Department of Energy, Carbon Dioxide Research Program, Washington, D.C.
Last updated: Tue, 19 May 2015 19:52:55 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 SOURCES | |||
 $partialdiff sub T$ [ CDIAC tr051 precipitation anomalies ][ 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