served from IRI/LDEO Climate Data Library
∂Y [ DEKLIM VASClimO PrcpClim Resolution-1p0x1p0 prcp ]: ∂Y precipitation data
prcp ∂Y precipitation from DEKLIM VASClimO PrcpClim Resolution-1p0x1p0: VASClimO Precipitation Climatology (1.0 x 1.0).Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1951) to (Dec 2000) by 1.0 N= 600 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (59S) to (84N) by 1.0 N= 144 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -999
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
References
Beck, C., J. Grieser and B. Rudolf (2005): A New Monthly Precipitation Climatology for the Global Land Areas for the Period 1951 to 2000. DWD, Klimastatusbericht KSB 2004, ISSN 1437-7691, ISSN 1616-5063 (Internet), ISBN 3-88148-402-7, 181-190.
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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