served from IRI/LDEO Climate Data Library
NASA GPCP V1DD V1p1 prcp: precipitation data
precipitation from NASA GPCP V1DD V1p1: 1-degree daily combination precipitation estimates.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1996-10-01 12:00:00) ordered (1 Oct 1996) to (30 Apr 2008) by 1.0 N= 4230 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5N) to (89.5S) by 1.0 N= 180 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- missing_value
- -99999.0
- pointwidth
- 0.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
References
Huffman, G.J., R.F. Adler, M. Morrissey, D.T. Bolvin, S. Curtis, R. Joyce, B McGavock, J. Susskind, 2001: Global Precipitation at One-Degree Daily Resolution from Multi-Satellite Observations. J. Hydrometeor., 2, 36-50.
Last updated: Mon, 12 Sep 2016 21:33:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NASA GPCP V1DD V1p1 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