data: max $partialdiff sub X$ $partialdiff sub Y$ [ UEA CRU TS3p21 monthly cld ]

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max ∂_X ∂_Y [ UEA CRU TS3p21 monthly cld ] : ∂_X ∂_Y cloud cover data

max ∂_X ∂_Y [ UEA CRU TS3p21 monthly cld ] .

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (16 Jan 1901 - 15 Feb 1901) to (16 Nov 2012 - 15 Dec 2012) by 1.0 N= 1343 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid

Other Info

correlation_decay_distance

600.0

datatype

realarraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

standard_name

cloud_area_fraction

units

percentage /degree_north /degree_east

history

max $partialdiff sub X$ $partialdiff sub Y$ [ UEA CRU TS3p21 monthly cld ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
max over X[180W, 179.5E]

References

Harris_etal2013

Last updated: Fri, 26 Jul 2024 12:21:16 GMT

Data Views

	T	Y
max $partialdiff sub X$ $partialdiff sub Y$ [ UEA CRU TS3p21 monthly cld ] [ Y \| 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 Y T
Differentiate along Y T
Take differences along Y T

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units