served from IRI/LDEO Climate Data Library
∫dT [ GISS AMIP PRECIPITATION ] climatology: PRECIPITATION data
PRECIPITATION int_dT PRECIPITATION from GISS AMIP: The surface diagnostics from an atmospheric model simulation with AMIP boundary conditions..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (177.5W) to (177.5E) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 4.0 N= 46 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- 9.64506172839506×10-10 meter second-1 year
- history
- Averaged over T2[16 Dec 1984 - 15 Dec 1985, 16 Dec 1987 - 15 Dec 1988]
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 | |
 $integral dT$ [ GISS AMIP PRECIPITATION ] 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