data: root mean sq $partialdiff sub time$ [ UEA CRU TS4p0 monthly vap ]

served from 129.236.110.25

root mean sq ∂_time [ UEA CRU TS4p0 monthly vap ] : ∂_time vapour pressure data

root mean sq ∂_time [ UEA CRU TS4p0 monthly vap ] .

Independent Variables (Grids)

lon (longitude): grid: /lon (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
time (time): grid: /time (months since 1960-01-01) ordered (16 Jan 1901 - 15 Feb 1901) to (16 Nov 2015 - 15 Dec 2015) by 1.0 N= 1379 pts :grid

Other Info

bufferwordsize

CE

null

correlation_decay_distance

1000.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

missing_value

NaN

standard_name

water_vapor_pressure

units

1200 kilogram meter^-1 second^-2 year^-1

history

root mean sq $partialdiff sub time$ [ UEA CRU TS4p0 monthly vap ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over lat[90S, 90N] minimum 0.0% data present

References

Harris_etal2013

Last updated: Wed, 17 Jan 2024 21:25:22 GMT

Data Views

	lat	lon	time
UEA CRU TS4p0 monthly[dtr cld tmp wet pet tmn vap tmx frs pre ]
UEA CRU TS4p0 monthly vap[ lon lat \| time]	M	M	O=0.5
root mean sq $partialdiff sub time$ [ UEA CRU TS4p0 monthly vap ] [ lon \| time]		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 lon time
Differentiate along lon time
Take differences along lon time