data: root mean sq $integral dtime$ $partialdiff sub lon$ [ UEA CRU TS4p0 monthly pre ]

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root mean sq ∫dtime ∂_lon [ UEA CRU TS4p0 monthly pre ] : ∂_lon precipitation data

root mean sq ∫dtime ∂_lon [ UEA CRU TS4p0 monthly pre ] .

Independent Variables (Grids)

lat (latitude): grid: /lat (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
time (time): grid: /time (days since 1960-01-01) ordered [ (Jan 1901) (Feb 1901) (Mar 1901) ... (Dec 2015)] N= 1380 pts :grid

Other Info

bufferwordsize

CE

null

correlation_decay_distance

450.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

maxncolor

254

missing_value

NaN

standard_name

lwe_precipitation_rate

units

59404.2641991638 meter radian^-1 east second year^-1

history

root mean sq $integral dtime$ $partialdiff sub lon$ [ UEA CRU TS4p0 monthly pre ]

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

References

Harris_etal2013

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

Data Views

	lat	time
root mean sq $integral dtime$ $partialdiff sub lon$ [ UEA CRU TS4p0 monthly pre ] [ lat \| 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 lat time
Differentiate along lat time
Take differences along lat time