data: UEA CRU TS2p1 monthly prcp

UEA CRU TS2p1 monthly prcp: precipitation data

monthly prcp precipitation from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data.

Independent Variables (Grids)

Time (time): grid: /T (days since 1960-01-01) ordered [ (Jan 1901) (Feb 1901) (Mar 1901) ... (Dec 2002)] N= 1224 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

datatype: realarraytype
missing_value: NaN
units: mm /month
valid_max: 3276.7
valid_min: -3276.8
standard units*: 0.012 meter year^-1

References

Mitchell, T. D., P. D. Jones. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25, 2005

Last updated: Tue, 15 Aug 2017 14:04:01 GMT

Data Views

	T	X	Y
UEA CRU TS2p1 monthly[maximum vap prcp elev mean minimum ]
UEA CRU TS2p1 monthly prcp[ X Y \| T]	M	M	M
UEA CRU TS2p1 monthly vap[ X Y \| T]	D	M	M
UEA CRU TS2p1 monthly vap[ X Y \| T]	D	M	M
UEA CRU TS2p1 monthly prcp[ 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

	T	X	Y
UEA CRU TS2p1 monthly[maximum vap prcp elev mean minimum ]
UEA CRU TS2p1 monthly prcp[ X Y \| T]	M	M	M
UEA CRU TS2p1 monthly vap[ X Y \| T]	D	M	M
UEA CRU TS2p1 monthly vap[ X Y \| T]	D	M	M
UEA CRU TS2p1 monthly prcp[ X Y \| T]	M	M	M