served from IRI/LDEO Climate Data Library
∫dT ∫dT [ GISS AMIP LOWCLOUD ] : CLOUD COVER from Layers 1, 2 and 3 data
LOWCLOUD int_dT CLOUD COVER from Layers 1, 2 and 3 from GISS AMIP: The surface diagnostics from an atmospheric model simulation with AMIP boundary conditions..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 16 Dec 1984) to (0000 16 Jan 1989) by 1.0 N= 50 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
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- 6.94444444444444×10-05 year2
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| T | X | Y | |
 $integral dT$ $integral dT$ [ GISS AMIP LOWCLOUD ] [ 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