data: $partialdiff sub Y$ root mean sq detrended-bfl $partialdiff sub X$ [ UEA CRU TS3p21 monthly vap ]

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∂_Y root mean sq detrended-bfl ∂_X [ UEA CRU TS3p21 monthly vap ] : ∂_Y ∂_X vapour pressure data

∂_Y root mean sq detrended-bfl ∂_X [ UEA CRU TS3p21 monthly vap ] .

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2012) by 1.0 N= 1344 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

1000.0

CS

null

datatype

realarraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

standard_name

water_vapor_pressure

units

328280.635001174 kilogram meter^-1 radian^-2 east second^-2

history

$partialdiff sub Y$ root mean sq detrended-bfl $partialdiff sub X$ [ UEA CRU TS3p21 monthly vap ]

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

References

Harris_etal2013

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

Data Views

	T	Y
$partialdiff sub Y$ root mean sq detrended-bfl $partialdiff sub X$ [ UEA CRU TS3p21 monthly vap ] [ 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