data: root mean sq $integral dlat$ [ UEA CRU TS4p0 monthly pre ]

served from 129.236.110.25

root mean sq ∫dlat [ UEA CRU TS4p0 monthly pre ] : precipitation data

root mean sq ∫dlat [ UEA CRU TS4p0 monthly pre ] .

Independent Variables (Grids)

lat (latitude): grid: /lat (degree_north) ordered (90S) to (90N) by 0.5 N= 361 pts :grid
lon (longitude): grid: /lon (degree_east) periodic (179.5W) to (180) by 0.5 N= 720 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

0.00020943951023932 meter radian north year^-1

history

root mean sq $integral dlat$ [ UEA CRU TS4p0 monthly pre ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over time[1200 16 Jan 1901 - 2400 14 Feb 1901, 1200 16 Dec 2015] minimum 0.0% data present

References

Harris_etal2013

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

Data Views

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