root mean sq root mean sq anom ∂Y [ UEA CRU TS3p21 monthly cld ] : ∂Y cloud cover data
root mean sq root mean sq anom
∂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
Other Info
- bufferwordsize
- 8
- CE
- null
- correlation_decay_distance
- 600.0
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.96920997E36
- missing_value
- NaN
- pointwidth
- 1
- standard_name
- cloud_area_fraction
- units
- percentage /degree_north
- history
- root mean sq anom $partialdiff sub Y$ [ UEA CRU TS3p21 monthly cld ]
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over Y[89.5S, 89.5N] minimum 0.0% data present
root mean sq root mean sq anom $partialdiff sub Y$ [ UEA CRU TS3p21 monthly cld ] - Averaged over X[180W, 180] minimum 0.0% data present
References
Harris_etal2013
Last updated: Fri, 26 Jul 2024 12:21:16 GMT
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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units