data: root mean sq $integral dY$ min [ UEA CRU TS3p21 monthly vap anomalies ]

served from digilib.icpac.net

root mean sq ∫dY min [ UEA CRU TS3p21 monthly vap anomalies ] : vapour pressure data

root mean sq ∫dY min [ UEA CRU TS3p21 monthly vap anomalies ] .

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

Other Info

bufferwordsize

CE

null

correlation_decay_distance

1000.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

standard_name

water_vapor_pressure

units

1.74532925199433 kilogram meter^-1 radian north second^-2

history

UEA CRU TS3p21 monthly vap
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for

UEA CRU TS3p21 monthly vap climatology

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[1901, 2012] minimum 0.0% data present

$integral dY$ min [ UEA CRU TS3p21 monthly vap anomalies ]

min over X[179.75W, 179.75E]

root mean sq $integral dY$ min [ UEA CRU TS3p21 monthly vap anomalies ]

Averaged over Y[90S, 90N] minimum 0.0% data present

References

Harris_etal2013

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

Data Views

	T
root mean sq $integral dY$ min [ UEA CRU TS3p21 monthly vap anomalies ] [ \| T]	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 T
Differentiate along T
Take differences along T