served from IRI/LDEO Climate Data Library
detrended-bfl ∫dX [ ISCCP MONTHLY cld ] : cloudiness data
MONTHLY cld int_dX cloudiness from ISCCP: Cloudiness and solar radiation data from the International Satellite Cloud Climatology Project.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jul 1983) to (Jun 1991) by 1.0 N= 96 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (180W) to (180) by 2.5 N= 145 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75S) to (88.75N) by 2.5 N= 72 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
References
Seager, R., M. Benno. Blumenthal. Modeling tropical Pacific sea surface temperature with satellite-derived solar radiative forcing. J. Climate, 1994J. K. B. Bishop, W. B. Rossow. Spatial and temporal variability of global surface solar irradiance. J. Geophys. Res. 96, 1991
Last updated: Tue, 19 May 2015 19:17:47 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl $integral dX$ [ ISCCP MONTHLY cld ] [ Y X | 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 Y X T
- Differentiate along Y X T
- Take differences along Y X T
RMS (root mean square with mean *not* removed) over Y X T | Y X Y T X T | Y X T |
RMSA (root mean square with mean removed) over Y X T | Y X Y T X T | Y X T |
Maximum over Y X T | Y X Y T X T | Y X T |
Minimum over Y X T | Y X Y T X T | Y X T |
Detrend (best-fit-line) over Y X T | Y X Y T X T | Y X T |
Note on units