data: UEA CRU TS4p0 monthly wet

served from 129.236.110.25

UEA CRU TS4p0 monthly wet: wet day frequency data

UEA CRU TS4p0 monthly wet.

Independent Variables (Grids)

lat (latitude): grid: /lat (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
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 (Jan 1901) to (Dec 2015) by 1.0 N= 1380 pts :grid

Other Info

CE: 31
correlation_decay_distance: 450.0
CS: 0
datatype: realarraytype
maxncolor: 254
missing_value: 9.96920997E36
scale_max: 31.0
scale_min: 0.0
standard_name: number_of_days_with_lwe_thickness_of_precipitation_amount_above_threshold
units: days
standard units*: 86400 second
history: Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
colorscale

References

Harris_etal2013

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

Data Views

	lat	lon	time
UEA CRU TS4p0 monthly wet[ lon lat \| time]	M	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 time
Differentiate along lon lat time
Take differences along lon lat time