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∂Y ∫dT [ UEA CRU TS3p21 monthly cld ] anomalies climatology: ∂Y cloud cover data
∂Y ∫dT [ UEA CRU TS3p21 monthly cld ] anomalies climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid
Other Info
- CE
- null
- correlation_decay_distance
- 600.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- cloud_area_fraction
- units
- percentage months /degree_north
- history
- $partialdiff sub Y$ $integral dT$ [ UEA CRU TS3p21 monthly cld ]
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- $partialdiff sub Y$ $integral dT$ [ UEA CRU TS3p21 monthly cld ] climatology
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2011 - 15 Dec 2012] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2011 - 15 Dec 2012] minimum 0.0% data present
- $partialdiff sub Y$ $integral dT$ [ UEA CRU TS3p21 monthly cld ]
References
Redland error: Cannot add statement to modelLast updated: Thu, 02 Nov 2023 13:29:44 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ $integral dT$ [ UEA CRU TS3p21 monthly cld ] anomalies climatology[ X Y T |] | M | M | M |
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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