data: UEA CRU TS3p2 monthly wet

served from IRI/LDEO Climate Data Library

UEA CRU TS3p2 monthly wet: wet day frequency data

monthly wet day frequency from UEA CRU TS3p2: TS3.2 Data: Mean surface climate data over global land areas.

Independent Variables (Grids)

Time (time): grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2011) by 1.0 N= 1332 pts :grid
Longitude (longitude): grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid

Other Info

CE: 31
correlation_decay_distance: 450.0
CS: 0
datatype: doublearraytype
maxncolor: 254
missing_value: 9.96920997E36
pointwidth: 0
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: Thu 25 Oct 2012 22:16:55 BST : User ianharris : Program makegridsauto.for called by update.for
colorscale

References

Harris_etal2014

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	T	X	Y
SOURCES
UEA[CRU ]
UEA CRU[TS3p2 TS3p21 TS3p0 TS2p1 TS3p1 New Hulme TS4p01 TS3p22 TS4p05 Global TS3p23 Jones ]
UEA CRU New[CRU05 ]
UEA CRU New CRU05[terciles percentiles monthly climatology ]
UEA CRU New CRU05 monthly[vap prcp wet cld dtr mean ]
UEA CRU TS3p2 monthly wet[ X Y \| T]	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 X Y T
Differentiate along X Y T
Take differences along X Y T