served from IRI/LDEO Climate Data Library
GEDEX isccp_c2 SFC_CODE anomalies: Surface Type data
GEDEX isccp_c2 SFC_CODE Surface Type: Code_1,2,3_Day H2O,Land,Coast 101,102,103_Night.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jul 1983) to (Dec 1990) by 1.0 N= 90 pts :grid
- Longitude
- grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (88.75S) to (88.75N) by 2.5 N= 72 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -1000.0
- FORTRAN_format
- F10.3
- missing_value
- NaN
- title
- ISCCP-C2 Monthly Mean Cloud Product
- units
- unitless
- history
- Averaged over T2[Jul 1983 - Jun 1984, Jul 1989 - Jun 1990] minimum 0.0% data present
Last updated: Mon, 12 Sep 2016 21:27:19 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 GEDEX isccp_c2 SFC_CODE anomalies[ 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