served from IRI/LDEO Climate Data Library
CDIAC tr051 precipitation anomalies climatology
precipitation anomalies anomalies from CDIAC tr051: Comprehensive preciptation anomaly data set for global land areas.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Dec - Feb) to (Sep-Nov) by 3.0 N= 4 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
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.9902
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
- history
- Averaged over T2[Dec 1850 - Nov 1851, Dec 1988 - Nov 1989] minimum 0.0% data present
References
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Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 SOURCES | |||
 CDIAC tr051 precipitation anomalies climatology[ 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