data: root mean sq anom [ UEA CRU TS4p07 monthly stn frs ] climatology

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root mean sq anom [ UEA CRU TS4p07 monthly stn frs ] climatology

root mean sq anom [ UEA CRU TS4p07 monthly stn frs ] climatology: number of stations contributing to each datum.

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid

Other Info

CE

null

CS

null

datatype

realarraytype

file_missing_value

-999

missing_value

NaN

units

count

history

root mean sq anom [ UEA CRU TS4p07 monthly stn frs ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over X[179.75W, 179.75E] minimum 0.0% data present

root mean sq anom [ UEA CRU TS4p07 monthly stn frs ] climatology

Averaged over T2[1901, 2022] minimum 0.0% data present

References

Harris_etal2013

Last updated: Thu, 18 Jan 2024 14:09:16 GMT

Data Views

	T	X	Y
UEA CRU TS4p07 monthly[frs tmp wet cld vap pre tmn stn tmx pet dtr ]
UEA CRU TS4p07 monthly dtr[ X Y \| T]	S	M	M
UEA CRU TS4p07 monthly stn[frs tmp wet cld vap pre tmn tmx pet dtr ]
root mean sq anom [ UEA CRU TS4p07 monthly stn frs ] climatology[ 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