served from IRI/LDEO Climate Data Library
∫dY [ UEA CRU TS4p05 monthly cld ]: cloud cover data
monthly cld cloud cover from UEA CRU TS4p05: CRU TS4.05: Climatic Research Unit (CRU) Time-Series (TS) Version 4.05 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec. 2020).Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2020) by 1.0 N= 1440 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 (90S) to (90N) by 0.5 N= 361 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 100
- correlation_decay_distance
- 600.0
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- cloud_area_fraction
- units
- 0.000174532925199433 radian north
References
Harris_etal2020Last updated: Tue, 10 Aug 2021 18:39:09 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ [ UEA CRU TS4p05 monthly cld ][ 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