data: UEA CRU TS3p2 monthly pet

served from IRI/LDEO Climate Data Library

UEA CRU TS3p2 monthly pet: potential evapotranspiration data

monthly potential evapotranspiration 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

correlation_decay_distance: -999.0
datatype: doublearraytype
missing_value: 9.96920997E36
pointwidth: 0
standard_name: water_potential_evaporation_flux
units: mm /day
standard units*: 1.15740740740741×10^-08 meter second^-1
history: Thu 25 Oct 2012 22:16:55 BST : User ianharris : Program makegridsauto.for called by update.for

References

Harris_etal2014

Last updated: Fri, 18 Sep 2015 18:39:07 GMT

Data Views

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