data: NASA ISCCP D2 low_level mean

served from IRI/LDEO Climate Data Library

NASA ISCCP D2 low_level mean_cloud temp anomalies: Top Temperature data

low_level mean_cloud temp Top Temperature from NASA ISCCP D2: Cloud characteristics, including amount, optical thickness, and cloud top pressure and temperature, for multiple cloud types from the the International Satellite Cloud Climatology Project.

Independent Variables (Grids)

boxnum: grid: /boxnum (unitless) ordered (1.0) to (6596.0) by 1.0 N= 6596 pts :grid
month (time): grid: /T (months since 1960-01-01) ordered (Jul 1983) to (Aug 2001) by 1.0 N= 218 pts :grid

Other Info

CE: null
CS: null
file_missing_value: [ 255.0 -1000.0 ]
missing_value: NaN
units: unitless
history: Averaged over T2[Jul 1983 - Jun 1984, Jul 2000 - Jun 2001] minimum 0.0% data present

References

Rossow, W.B., A.W. Walker, D.E. Beuschel, and M.D. Roiter, 1996: International Satellite Cloud Climatology Project (ISCCP) Documentation of New Cloud Datasets. WMO/TD-No. 737, World Meteorological Organization, 115 pp.

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	boxnum	T
NASA ISCCP D2 low_level mean_cloud temp anomalies[ boxnum T \|]	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 boxnum T
Differentiate along boxnum T
Take differences along boxnum T